🏏 Hidden GemsAll competitionsData updated 2026-07-25 16:02

Pondicherry Premier League 2026 — Scout Score

45 batters · 60 bowlers · batting Scout Score live (all 5 components) · hover a score for the breakdown · click a name for the full profile · data updated 2026-07-25 16:02

#PlayerBatAgeInnsRunsBallsSRAvg4s6sScoreProdShot QImpactVers
1 · pos 3LHB2211276174158.625.1192177.9
Scout Score 77.9 = Σ(component × weight)
Componentscoreweight
Production92.540%
Impact94.427%
Versatility73.715%
Shot quality16.76%
Trajectory27.812%
  form Δ (last 3 vs season)0.86×[0, 23, 64]
92.5
Production 92.5 = Σ(percentile × share)
KPIvaluepctshare
True SR1.55× parp94.435%
True Avg1.92× parp94.430%
Balls / boundary3.08p94.417.5%
Balls / dismissal24.67p83.317.5%
16.7
Shot Quality 16.7 = control-% percentile
Control · Consolidation64.8%
Control · Build59%
Phase-weighted control63.3%
94.4
Impact 94.4 = WPA percentile · total +45.8
WPA · Powerplay+63.4
WPA · Consolidation-17.6
73.7
Versatility 73.7 = Σ(pct × share) · * owner cell pending
vs Pace SRp94.426.7%
vs Spin SRp94.426.7%
Accel into Consp5020%
Pressure entryp5026.7%
2 · pos 3RHB241129420014726.7271166.1
Scout Score 66.1 = Σ(component × weight)
Componentscoreweight
Production66.940%
Impact83.327%
Versatility74.415%
Shot quality83.36%
Trajectory5.612%
  form Δ (last 3 vs season)0.64×[0, 6, 11]
66.9
Production 66.9 = Σ(percentile × share)
KPIvaluepctshare
True SR1.1× parp83.335%
True Avg1× parp61.130%
Balls / boundary4.95p72.217.5%
Balls / dismissal18.17p38.917.5%
83.3
Shot Quality 83.3 = control-% percentile
Control · Consolidation79.6%
Control · Build75.6%
Phase-weighted control78.4%
83.3
Impact 83.3 = WPA percentile · total +27.4
WPA · Powerplay+7.9
WPA · Consolidation+19.5
74.4
Versatility 74.4 = Σ(pct × share) · * owner cell pending
vs Pace SRp83.326.7%
vs Spin SRp83.326.7%
Accel into Consp83.320%
Pressure entryp5026.7%
3 · pos 3RHB2711260195133.323.6261558.7
Scout Score 58.7 = Σ(component × weight)
Componentscoreweight
Production61.740%
Impact72.227%
Versatility63.315%
Shot quality506%
Trajectory16.712%
  form Δ (last 3 vs season)0.83×[27, 31, 23]
61.7
Production 61.7 = Σ(percentile × share)
KPIvaluepctshare
True SR0.99× parp61.135%
True Avg1× parp5030%
Balls / boundary4.73p83.317.5%
Balls / dismissal20.29p61.117.5%
50
Shot Quality 50 = control-% percentile
Control · Consolidation71.1%
Control · Build66.7%
Phase-weighted control70.3%
72.2
Impact 72.2 = WPA percentile · total +2.4
WPA · Powerplay+3
WPA · Consolidation-0.6
63.3
Versatility 63.3 = Σ(pct × share) · * owner cell pending
vs Pace SRp72.226.7%
vs Spin SRp61.126.7%
Accel into Consp72.220%
Pressure entryp5026.7%
4 · pos 3RHB308163136119.923.316555.4
Scout Score 55.4 = Σ(component × weight)
Componentscoreweight
Production43.340%
Impact61.127%
Versatility48.515%
Shot quality72.26%
Trajectory83.312%
  form Δ (last 3 vs season)1.12×[65, 23, 14]
43.3
Production 43.3 = Σ(percentile × share)
KPIvaluepctshare
True SR1.07× parp72.235%
True Avg0.81× parp27.830%
Balls / boundary5.45p38.917.5%
Balls / dismissal15p16.717.5%
72.2
Shot Quality 72.2 = control-% percentile
Control · Consolidation72.4%
Control · Build75%
Phase-weighted control73.4%
61.1
Impact 61.1 = WPA percentile · total -5.8
WPA · Powerplay-0.1
WPA · Consolidation-5.7
48.5
Versatility 48.5 = Σ(pct × share) · * owner cell pending
vs Pace SRp38.926.7%
vs Spin SRp27.826.7%
Accel into Consp27.820%
Pressure entryp94.426.7%
5 · pos 3RHB2335345117.817.76249.3
Scout Score 49.3 = Σ(component × weight)
Componentscoreweight
Production48.640%
Impact5027%
Versatility44.815%
Shot quality27.86%
Trajectory66.712%
  form Δ (last 3 vs season)[21, 27, 5]
48.6
Production 48.6 = Σ(percentile × share)
KPIvaluepctshare
True SR0.91× parp5035%
True Avg0.66× parp38.930%
Balls / boundary4.83p61.117.5%
Balls / dismissal14.5p5017.5%
27.8
Shot Quality 27.8 = control-% percentile
Control · Consolidation64.3%
Control · Build50%
Phase-weighted control63.3%
50
Impact 50 = WPA percentile · total -8.3
WPA · Powerplay-8.3
WPA · Consolidation+0.1
44.8
Versatility 44.8 = Σ(pct × share) · * owner cell pending
vs Pace SRp5026.7%
vs Spin SRp38.926.7%
Accel into Consp38.920%
Pressure entryp5026.7%
6 · pos 3RHB2223832118.8191348.7
Scout Score 48.7 = Σ(component × weight)
Componentscoreweight
Production48.940%
Impact38.927%
Versatility46.315%
Shot quality61.16%
Trajectory66.712%
  form Δ (last 3 vs season)[33, 5]
48.9
Production 48.9 = Σ(percentile × share)
KPIvaluepctshare
True SR0.8× parp38.935%
True Avg1.01× parp72.230%
Balls / boundary8.33p5.617.5%
Balls / dismissal25p72.217.5%
61.1
Shot Quality 61.1 = control-% percentile
Control · Consolidation71.4%
Control · Buildn/a
Phase-weighted control71.4%
38.9
Impact 38.9 = WPA percentile · total -15.9
WPA · Powerplay-14.6
WPA · Consolidation-1.3
46.3
Versatility 46.3 = Σ(pct × share) · * owner cell pending
vs Pace SRp27.826.7%
vs Spin SRp5026.7%
Accel into Consp61.120%
Pressure entryp5026.7%
7 · pos 3RHB2210197145135.921.9121547.9
Scout Score 47.9 = Σ(component × weight)
Componentscoreweight
Production46.440%
Impact27.827%
Versatility67.815%
Shot quality5.66%
Trajectory94.412%
  form Δ (last 3 vs season)1.2×[5, 29, 18]
46.4
Production 46.4 = Σ(percentile × share)
KPIvaluepctshare
True SR0.77× parp5.635%
True Avg2.52× parp83.330%
Balls / boundary6.5p16.717.5%
Balls / dismissal65p94.417.5%
5.6
Shot Quality 5.6 = control-% percentile
Control · Consolidation51.4%
Control · Build67.7%
Phase-weighted control56.4%
27.8
Impact 27.8 = WPA percentile · total -26.1
WPA · Powerplay-29.7
WPA · Consolidation+3.6
67.8
Versatility 67.8 = Σ(pct × share) · * owner cell pending
vs Pace SRp61.126.7%
vs Spin SRp72.226.7%
Accel into Consp94.420%
Pressure entryp5026.7%
8 · pos 3LHB2110206185111.422.918825.4
Scout Score 25.4 = Σ(component × weight)
Componentscoreweight
Production28.340%
Impact16.727%
Versatility8.515%
Shot quality38.96%
Trajectory5012%
  form Δ (last 3 vs season)0.97×[50, 4, 2]
28.3
Production 28.3 = Σ(percentile × share)
KPIvaluepctshare
True SR0.84× parp27.835%
True Avg0.63× parp16.730%
Balls / boundary5p5017.5%
Balls / dismissal15p27.817.5%
38.9
Shot Quality 38.9 = control-% percentile
Control · Consolidation70.3%
Control · Build64.4%
Phase-weighted control68.4%
16.7
Impact 16.7 = WPA percentile · total -45
WPA · Powerplay-20.8
WPA · Consolidation-24.1
8.5
Versatility 8.5 = Σ(pct × share) · * owner cell pending
vs Pace SRp5.626.7%
vs Spin SRp16.726.7%
Accel into Consp5.620%
Pressure entryp5.626.7%
9 · pos 3RHB2110112107104.711.214320.6
Scout Score 20.6 = Σ(component × weight)
Componentscoreweight
Production13.340%
Impact5.627%
Versatility22.615%
Shot quality94.46%
Trajectory38.912%
  form Δ (last 3 vs season)0.89×[23, 2, 4]
13.3
Production 13.3 = Σ(percentile × share)
KPIvaluepctshare
True SR0.84× parp16.735%
True Avg0.45× parp5.630%
Balls / boundary5.65p27.817.5%
Balls / dismissal10.67p5.617.5%
94.4
Shot Quality 94.4 = control-% percentile
Control · Consolidation81.8%
Control · Buildn/a
Phase-weighted control81.8%
5.6
Impact 5.6 = WPA percentile · total -45.5
WPA · Powerplay-42.7
WPA · Consolidation-2.9
22.6
Versatility 22.6 = Σ(pct × share) · * owner cell pending
vs Pace SRp16.726.7%
vs Spin SRp5.626.7%
Accel into Consp16.720%
Pressure entryp5026.7%
#PlayerBatAgeInnsRunsBallsSRAvg4s6sScoreProdShot QImpactVers
1 · pos 4RHB2911473199237.747.3334592.7
Scout Score 92.7 = Σ(component × weight)
Componentscoreweight
Production97.428%
Impact97.427%
Versatility91.627%
Shot quality71.18%
Trajectory86.810%
  form Δ (last 3 vs season)1.1×[54, 53, 34]
97.4
Production 97.4 = Σ(percentile × share)
KPIvaluepctshare
True SR1.8× parp97.442.9%
True Avg3.32× parp97.432.1%
Balls / boundary2.77p97.425%
71.1
Shot Quality 71.1 = control-% percentile
Control · Consolidation75%
Control · Build86.5%
Phase-weighted control81.5%
97.4
Impact 97.4 = WPA percentile · total +105.8
WPA · Consolidation+21.4
WPA · Build+84.4
91.6
Versatility 91.6 = Σ(pct × share) · * owner cell pending
Matchup defiancep86.544.4%
  vs LA-orthodox25bp91.7
  vs Leg-spin15bp93.8
  vs Short ball10bp62.5
Spin hittingp94.229.6%
  Off-spin14bp94.4
  LA-orthodox32bp90.6
  Leg-spin21bp97.1
  Chinaman31bp95.8
  Hybrid0b0b <min
vs Pace SR (mid)p97.414.8%
Reach deathp97.411.1%
2 · pos 4LHB11437295148.154.6283276.8
Scout Score 76.8 = Σ(component × weight)
Componentscoreweight
Production84.228%
Impact92.127%
Versatility76.127%
Shot quality28.98%
Trajectory55.310%
  form Δ (last 3 vs season)0.98×[9, 44, 28]
84.2
Production 84.2 = Σ(percentile × share)
KPIvaluepctshare
True SR1.12× parp81.642.9%
True Avg1.78× parp81.632.1%
Balls / boundary5.32p92.125%
28.9
Shot Quality 28.9 = control-% percentile
Control · Consolidation75.6%
Control · Build72%
Phase-weighted control73.6%
92.1
Impact 92.1 = WPA percentile · total +76.7
WPA · Consolidation+34.4
WPA · Build+42.2
76.1
Versatility 76.1 = Σ(pct × share) · * owner cell pending
Matchup defiancep8344.4%
  vs Off-spin51bp78.6
  vs Chinaman23bp92.9
  vs Short ball7b7b <min
Spin hittingp65.629.6%
  Off-spin67bp50
  LA-orthodox13bp96.9
  Leg-spin68bp67.6
  Chinaman23bp87.5
  Hybrid0b0b <min
vs Pace SR (mid)p76.314.8%
Reach deathp76.311.1%
3 · pos 5LHB201030218316550.3211874
Scout Score 74 = Σ(component × weight)
Componentscoreweight
Production85.528%
Impact86.827%
Versatility62.127%
Shot quality86.88%
Trajectory28.910%
  form Δ (last 3 vs season)0.83×[18, 40, 1]
85.5
Production 85.5 = Σ(percentile × share)
KPIvaluepctshare
True SR1.15× parp86.842.9%
True Avg2.24× parp86.832.1%
Balls / boundary6p81.625%
86.8
Shot Quality 86.8 = control-% percentile
Control · Consolidation86.5%
Control · Build80.2%
Phase-weighted control81.9%
86.8
Impact 86.8 = WPA percentile · total +43
WPA · Consolidation-2.1
WPA · Build+45.2
62.1
Versatility 62.1 = Σ(pct × share) · * owner cell pending
Matchup defiancep47.444.4%
  vs Off-spin20bp64.3
  vs Chinaman18bp50
  vs Short ball11bp12.5
Spin hittingp6329.6%
  Off-spin24bp72.2
  LA-orthodox19bp59.4
  Leg-spin20bp55.9
  Chinaman18bp62.5
  Hybrid0b0b <min
vs Pace SR (mid)p81.614.8%
Reach deathp92.111.1%
4 · pos 4LHB2610283202140.131.4191671.5
Scout Score 71.5 = Σ(component × weight)
Componentscoreweight
Production71.128%
Impact81.627%
Versatility63.527%
Shot quality92.18%
Trajectory5010%
  form Δ (last 3 vs season)0.93×[37, 32, 14]
71.1
Production 71.1 = Σ(percentile × share)
KPIvaluepctshare
True SR1.07× parp65.842.9%
True Avg1.45× parp65.832.1%
Balls / boundary6.19p86.825%
92.1
Shot Quality 92.1 = control-% percentile
Control · Consolidation77.2%
Control · Build86.4%
Phase-weighted control82%
81.6
Impact 81.6 = WPA percentile · total +24.7
WPA · Consolidation-4.5
WPA · Build+29.1
63.5
Versatility 63.5 = Σ(pct × share) · * owner cell pending
Matchup defiancep58.244.4%
  vs Off-spin50bp50
  vs Chinaman20bp78.6
  vs Short ball6b6b <min
Spin hittingp54.529.6%
  Off-spin54bp33.3
  LA-orthodox31bp65.6
  Leg-spin42bp61.8
  Chinaman20bp79.2
  Hybrid0b0b <min
vs Pace SR (mid)p92.114.8%
Reach deathp71.111.1%
5 · pos 4RHB241015810914526.391168
Scout Score 68 = Σ(component × weight)
Componentscoreweight
Production72.728%
Impact76.327%
Versatility4827%
Shot quality60.58%
Trajectory92.110%
  form Δ (last 3 vs season)1.21×[7, 7, 49]
72.7
Production 72.7 = Σ(percentile × share)
KPIvaluepctshare
True SR1.13× parp71.142.9%
True Avg2.34× parp76.332.1%
Balls / boundary6.08p71.125%
60.5
Shot Quality 60.5 = control-% percentile
Control · Consolidation78.6%
Control · Build80%
Phase-weighted control79.5%
76.3
Impact 76.3 = WPA percentile · total +8.7
WPA · Consolidation+7.3
WPA · Build+1.5
48
Versatility 48 = Σ(pct × share) · * owner cell pending
Matchup defiancep38.344.4%
  vs LA-orthodox14bp75
  vs Leg-spin16bp6.2
  vs Short ball6b6b <min
Spin hittingp58.329.6%
  Off-spin14bp83.3
  LA-orthodox21bp71.9
  Leg-spin20bp26.5
  Chinaman4b4b <min
  Hybrid0b0b <min
vs Pace SR (mid)p55.314.8%
Reach deathp5011.1%
6 · pos 4RHB55435154.313.56266.5
Scout Score 66.5 = Σ(component × weight)
Componentscoreweight
Production57.128%
Impact65.827%
Versatility76.527%
Shot quality55.38%
Trajectory76.310%
  form Δ (last 3 vs season)1.05×[11, 39, 2]
57.1
Production 57.1 = Σ(percentile × share)
KPIvaluepctshare
True SR1.21× parp60.542.9%
True Avg0.64× parp5032.1%
Balls / boundary4.67p60.525%
55.3
Shot Quality 55.3 = control-% percentile
Control · Consolidation100%
Control · Build68.4%
Phase-weighted control78.6%
65.8
Impact 65.8 = WPA percentile · total +0
WPA · Consolidation+2.7
WPA · Build-2.6
76.5
Versatility 76.5 = Σ(pct × share) · * owner cell pending
Matchup defiancep81.244.4%
  vs LA-orthodox8b8b <min
  vs Leg-spin10bp81.2
  vs Short ball0b0b <min
Spin hittingp91.229.6%
  Off-spin1b1b <min
  LA-orthodox8b8b <min
  Leg-spin10bp91.2
  Chinaman9b9b <min
  Hybrid0b0b <min
vs Pace SR (mid)p60.514.8%
Reach deathp39.511.1%
7 · pos 4RHB268210114184.230211464.4
Scout Score 64.4 = Σ(component × weight)
Componentscoreweight
Production7828%
Impact55.327%
Versatility78.127%
Shot quality65.88%
Trajectory13.210%
  form Δ (last 3 vs season)0.67×[10, 11, 51]
78
Production 78 = Σ(percentile × share)
KPIvaluepctshare
True SR1.52× parp92.142.9%
True Avg1.57× parp60.532.1%
Balls / boundary3.44p76.325%
65.8
Shot Quality 65.8 = control-% percentile
Control · Consolidation77.3%
Control · Build81.8%
Phase-weighted control80%
55.3
Impact 55.3 = WPA percentile · total -2.8
WPA · Consolidation-11.1
WPA · Build+8.2
78.1
Versatility 78.1 = Σ(pct × share) · * owner cell pending
Matchup defiancep71.644.4%
  vs LA-orthodox12bp58.3
  vs Leg-spin8b8b <min
  vs Short ball10bp87.5
Spin hittingp80.329.6%
  Off-spin4b4b <min
  LA-orthodox27bp78.1
  Leg-spin12bp85.3
  Chinaman8b8b <min
  Hybrid0b0b <min
vs Pace SR (mid)p86.814.8%
Reach deathp86.811.1%
8 · pos 5RHB37062112.923.34354.9
Scout Score 54.9 = Σ(component × weight)
Componentscoreweight
Production44.528%
Impact60.527%
Versatility47.827%
Shot quality78.98%
Trajectory68.410%
  form Δ (last 3 vs season)[29, 19, 22]
44.5
Production 44.5 = Σ(percentile × share)
KPIvaluepctshare
True SR0.82× parp39.542.9%
True Avg1.27× parp55.332.1%
Balls / boundary11p39.525%
78.9
Shot Quality 78.9 = control-% percentile
Control · Consolidation85.7%
Control · Build79.4%
Phase-weighted control81.8%
60.5
Impact 60.5 = WPA percentile · total -2
WPA · Consolidation-4.1
WPA · Build+2.1
47.8
Versatility 47.8 = Σ(pct × share) · * owner cell pending
Matchup defiancep62.544.4%
  vs LA-orthodox6b6b <min
  vs Leg-spin16bp62.5
  vs Short ball3b3b <min
Spin hittingp44.429.6%
  Off-spin7b7b <min
  LA-orthodox11bp15.6
  Leg-spin16bp76.5
  Chinaman13bp29.2
  Hybrid0b0b <min
vs Pace SR (mid)p13.214.8%
Reach deathp44.711.1%
9 · pos 4RHB2365739146.29.54554.6
Scout Score 54.6 = Σ(component × weight)
Componentscoreweight
Production54.128%
Impact71.127%
Versatility65.827%
Shot quality7.98%
Trajectory18.410%
  form Δ (last 3 vs season)0.68×[6, 1, 8]
54.1
Production 54.1 = Σ(percentile × share)
KPIvaluepctshare
True SR1.43× parp76.342.9%
True Avg0.45× parp23.732.1%
Balls / boundary3.67p55.325%
7.9
Shot Quality 7.9 = control-% percentile
Control · Consolidation55.6%
Control · Build50%
Phase-weighted control54.5%
71.1
Impact 71.1 = WPA percentile · total +5.9
WPA · Consolidation+14.1
WPA · Build-8.1
65.8
Versatility 65.8 = Σ(pct × share) · * owner cell pending
Matchup defiancep62.544.4%
  vs LA-orthodox5b5b <min
  vs Leg-spin12bp62.5
  vs Short ball0b0b <min
Spin hittingp80.729.6%
  Off-spin1b1b <min
  LA-orthodox14bp84.4
  Leg-spin12bp76.5
  Chinaman2b2b <min
  Hybrid0b0b <min
vs Pace SR (mid)p5014.8%
Reach deathp60.511.1%
10 · pos 4LHB79073123.312.95650.4
Scout Score 50.4 = Σ(component × weight)
Componentscoreweight
Production44.428%
Impact28.927%
Versatility68.127%
Shot quality44.78%
Trajectory81.610%
  form Δ (last 3 vs season)1.09×[16, 26, 1]
44.4
Production 44.4 = Σ(percentile × share)
KPIvaluepctshare
True SR1× parp55.342.9%
True Avg0.56× parp13.232.1%
Balls / boundary6.67p65.825%
44.7
Shot Quality 44.7 = control-% percentile
Control · Consolidation70.4%
Control · Build81.8%
Phase-weighted control76.7%
28.9
Impact 28.9 = WPA percentile · total -30.4
WPA · Consolidation-22.7
WPA · Build-7.7
68.1
Versatility 68.1 = Σ(pct × share) · * owner cell pending
Matchup defiancep77.344.4%
  vs Off-spin16bp92.9
  vs Chinaman19bp64.3
  vs Short ball1b1b <min
Spin hittingp66.129.6%
  Off-spin18bp61.1
  LA-orthodox7b7b <min
  Leg-spin3b3b <min
  Chinaman19bp70.8
  Hybrid0b0b <min
vs Pace SR (mid)p34.214.8%
Reach deathp81.611.1%
11 · pos 5LHB3510185175105.730.818239.5
Scout Score 39.5 = Σ(component × weight)
Componentscoreweight
Production34.828%
Impact39.527%
Versatility27.327%
Shot quality97.48%
Trajectory39.510%
  form Δ (last 3 vs season)0.86×[13, 23, 6]
34.8
Production 34.8 = Σ(percentile × share)
KPIvaluepctshare
True SR0.74× parp7.942.9%
True Avg1.91× parp71.132.1%
Balls / boundary11.5p34.225%
97.4
Shot Quality 97.4 = control-% percentile
Control · Consolidation64.3%
Control · Build87.2%
Phase-weighted control83.7%
39.5
Impact 39.5 = WPA percentile · total -28.3
WPA · Consolidation-9.8
WPA · Build-18.5
27.3
Versatility 27.3 = Σ(pct × share) · * owner cell pending
Matchup defiancep35.744.4%
  vs Off-spin17bp35.7
  vs Chinaman14bp35.7
  vs Short ball2b2b <min
Spin hittingp21.229.6%
  Off-spin23bp5.6
  LA-orthodox26bp21.9
  Leg-spin12bp14.7
  Chinaman17bp45.8
  Hybrid0b0b <min
vs Pace SR (mid)p28.914.8%
Reach deathp7.911.1%
12 · pos 4RHB221012313690.415.411135.8
Scout Score 35.8 = Σ(component × weight)
Componentscoreweight
Production27.628%
Impact34.227%
Versatility23.627%
Shot quality34.28%
Trajectory97.410%
  form Δ (last 3 vs season)1.21×[9, 21, 5]
27.6
Production 27.6 = Σ(percentile × share)
KPIvaluepctshare
True SR0.76× parp28.942.9%
True Avg0.57× parp28.932.1%
Balls / boundary13.2p23.725%
34.2
Shot Quality 34.2 = control-% percentile
Control · Consolidation73%
Control · Build79.3%
Phase-weighted control75.8%
34.2
Impact 34.2 = WPA percentile · total -29.5
WPA · Consolidation-41.3
WPA · Build+11.7
23.6
Versatility 23.6 = Σ(pct × share) · * owner cell pending
Matchup defiancep18.844.4%
  vs LA-orthodox9b9b <min
  vs Leg-spin18bp18.8
  vs Short ball6b6b <min
Spin hittingp2829.6%
  Off-spin7b7b <min
  LA-orthodox31bp28.1
  Leg-spin22bp8.8
  Chinaman16bp54.2
  Hybrid0b0b <min
vs Pace SR (mid)p44.714.8%
Reach deathp2.611.1%
13 · pos 4RHB331010675141.310.611735.8
Scout Score 35.8 = Σ(component × weight)
Componentscoreweight
Production25.228%
Impact44.727%
Versatility49.127%
Shot quality39.58%
Trajectory2.610%
  form Δ (last 3 vs season)0.51×[0, 7, 1]
25.2
Production 25.2 = Σ(percentile × share)
KPIvaluepctshare
True SR0.56× parp34.242.9%
True Avg0.22× parp18.432.1%
Balls / boundary21p18.425%
39.5
Shot Quality 39.5 = control-% percentile
Control · Consolidation80%
Control · Build75%
Phase-weighted control76.2%
44.7
Impact 44.7 = WPA percentile · total -17.8
WPA · Consolidation-8.4
WPA · Build-9.4
49.1
Versatility 49.1 = Σ(pct × share) · * owner cell pending
Matchup defiancep5044.4%
  vs LA-orthodox8b8b <min
  vs Leg-spin3b3b <min
  vs Short ball2b2b <min
Spin hittingp46.929.6%
  Off-spin5b5b <min
  LA-orthodox20bp46.9
  Leg-spin6b6b <min
  Chinaman6b6b <min
  Hybrid0b0b <min
vs Pace SR (mid)p65.814.8%
Reach deathp28.911.1%
14 · pos 5RHB3499687110.3125535
Scout Score 35 = Σ(component × weight)
Componentscoreweight
Production46.628%
Impact18.427%
Versatility44.627%
Shot quality18.48%
Trajectory34.210%
  form Δ (last 3 vs season)0.85×[13, 0, 1]
46.6
Production 46.6 = Σ(percentile × share)
KPIvaluepctshare
True SR0.92× parp5042.9%
True Avg0.69× parp39.532.1%
Balls / boundary8.38p5025%
18.4
Shot Quality 18.4 = control-% percentile
Control · Consolidation69%
Control · Build68.4%
Phase-weighted control68.7%
18.4
Impact 18.4 = WPA percentile · total -39.4
WPA · Consolidation-33.8
WPA · Build-5.6
44.6
Versatility 44.6 = Σ(pct × share) · * owner cell pending
Matchup defiancep43.344.4%
  vs LA-orthodox10bp41.7
  vs Leg-spin35bp43.8
  vs Short ball1b1b <min
Spin hittingp45.229.6%
  Off-spin2b2b <min
  LA-orthodox12bp37.5
  Leg-spin38bp50
  Chinaman12bp37.5
  Hybrid0b0b <min
vs Pace SR (mid)p71.114.8%
Reach deathp13.211.1%
15 · pos 5RHB205545893.1183332.5
Scout Score 32.5 = Σ(component × weight)
Componentscoreweight
Production36.828%
Impact5027%
Versatility28.527%
Shot quality2.68%
Trajectory7.910%
  form Δ (last 3 vs season)0.66×[2, 12, 7]
36.8
Production 36.8 = Σ(percentile × share)
KPIvaluepctshare
True SR0.61× parp44.742.9%
True Avg0.22× parp44.732.1%
Balls / boundary26p13.225%
2.6
Shot Quality 2.6 = control-% percentile
Control · Consolidation28.6%
Control · Build66.7%
Phase-weighted control46.2%
50
Impact 50 = WPA percentile · total -6.2
WPA · Consolidation-7.6
WPA · Build+1.5
28.5
Versatility 28.5 = Σ(pct × share) · * owner cell pending
Matchup defiancep5044.4%
  vs LA-orthodox0b0b <min
  vs Leg-spin0b0b <min
  vs Short ball1b1b <min
Spin hittingp2.929.6%
  Off-spin7b7b <min
  LA-orthodox6b6b <min
  Leg-spin12bp2.9
  Chinaman6b6b <min
  Hybrid0b0b <min
vs Pace SR (mid)p18.414.8%
Reach deathp23.711.1%
16 · pos 4RHB323293680.69.72129.3
Scout Score 29.3 = Σ(component × weight)
Componentscoreweight
Production28.428%
Impact23.727%
Versatility26.227%
Shot quality13.28%
Trajectory68.410%
  form Δ (last 3 vs season)[26, 0, 3]
28.4
Production 28.4 = Σ(percentile × share)
KPIvaluepctshare
True SR0.63× parp23.742.9%
True Avg0.42× parp34.232.1%
Balls / boundary11.67p28.925%
13.2
Shot Quality 13.2 = control-% percentile
Control · Consolidation72.7%
Control · Build58.3%
Phase-weighted control62.9%
23.7
Impact 23.7 = WPA percentile · total -33.8
WPA · Consolidation-20.6
WPA · Build-13.2
26.2
Versatility 26.2 = Σ(pct × share) · * owner cell pending
Matchup defiancep18.344.4%
  vs LA-orthodox13bp8.3
  vs Leg-spin10bp31.2
  vs Short ball3b3b <min
Spin hittingp18.429.6%
  Off-spin0b0b <min
  LA-orthodox13bp3.1
  Leg-spin10bp38.2
  Chinaman4b4b <min
  Hybrid0b0b <min
vs Pace SR (mid)p39.514.8%
Reach deathp60.511.1%
17 · pos 5LHB27924221611240.319826
Scout Score 26 = Σ(component × weight)
Componentscoreweight
Production46.428%
Impact2.627%
Versatility22.127%
Shot quality508%
Trajectory23.710%
  form Δ (last 3 vs season)0.71×[17, 20, 17]
46.4
Production 46.4 = Σ(percentile × share)
KPIvaluepctshare
True SR0.79× parp13.242.9%
True Avg2.49× parp92.132.1%
Balls / boundary11.13p44.725%
50
Shot Quality 50 = control-% percentile
Control · Consolidation80%
Control · Build77.6%
Phase-weighted control78.4%
2.6
Impact 2.6 = WPA percentile · total -65.2
WPA · Consolidation-83.4
WPA · Build+18.2
22.1
Versatility 22.1 = Σ(pct × share) · * owner cell pending
Matchup defiancep19.344.4%
  vs Off-spin33bp21.4
  vs Chinaman22bp7.1
  vs Short ball11bp37.5
Spin hittingp34.929.6%
  Off-spin37bp33.3
  LA-orthodox32bp53.1
  Leg-spin36bp32.4
  Chinaman24bp16.7
  Hybrid0b0b <min
vs Pace SR (mid)p7.914.8%
Reach deathp18.411.1%
18 · pos 5LHB2011162144112.516.28721.8
Scout Score 21.8 = Σ(component × weight)
Componentscoreweight
Production12.428%
Impact7.927%
Versatility19.927%
Shot quality78.98%
Trajectory44.710%
  form Δ (last 3 vs season)0.92×[3, 30, 1]
12.4
Production 12.4 = Σ(percentile × share)
KPIvaluepctshare
True SR0.74× parp18.442.9%
True Avg0.53× parp7.932.1%
Balls / boundary22p7.925%
78.9
Shot Quality 78.9 = control-% percentile
Control · Consolidation81.8%
Control · Build81.8%
Phase-weighted control81.8%
7.9
Impact 7.9 = WPA percentile · total -47.2
WPA · Consolidation-28.7
WPA · Build-18.6
19.9
Versatility 19.9 = Σ(pct × share) · * owner cell pending
Matchup defiancep12.644.4%
  vs Off-spin21bp7.1
  vs Chinaman13bp21.4
  vs Short ball6b6b <min
Spin hittingp23.629.6%
  Off-spin30bp16.7
  LA-orthodox12bp37.5
  Leg-spin20bp44.1
  Chinaman19bp4.2
  Hybrid0b0b <min
vs Pace SR (mid)p23.714.8%
Reach deathp34.211.1%
19 · pos 4RHB177699572.69.96118.3
Scout Score 18.3 = Σ(component × weight)
Componentscoreweight
Production2.628%
Impact13.227%
Versatility22.527%
Shot quality23.78%
Trajectory60.510%
  form Δ (last 3 vs season)0.98×[9, 0, 16]
2.6
Production 2.6 = Σ(percentile × share)
KPIvaluepctshare
True SR0.47× parp2.642.9%
True Avg0.28× parp2.632.1%
Balls / boundary53p2.625%
23.7
Shot Quality 23.7 = control-% percentile
Control · Consolidation70.7%
Control · Build66.7%
Phase-weighted control69.8%
13.2
Impact 13.2 = WPA percentile · total -43.9
WPA · Consolidation-36.8
WPA · Build-7.1
22.5
Versatility 22.5 = Σ(pct × share) · * owner cell pending
Matchup defiancep2544.4%
  vs LA-orthodox11bp25
  vs Leg-spin9b9b <min
  vs Short ball4b4b <min
Spin hittingp14.529.6%
  Off-spin9b9b <min
  LA-orthodox20bp9.4
  Leg-spin10bp20.6
  Chinaman20bp16.7
  Hybrid0b0b <min
vs Pace SR (mid)p2.614.8%
Reach deathp60.511.1%
#PlayerBatAgeInnsRunsBallsSRAvg4s6sScoreProdShot QImpactVers
1 · pos 6RHB34913387152.944.311872.1
Scout Score 72.1 = Σ(component × weight)
Componentscoreweight
Production77.440%
Impact79.425%
Versatility4918%
Shot quality14.74%
Trajectory91.213%
  form Δ (last 3 vs season)1.26×[7, 22, 0]
77.4
Production 77.4 = Σ(percentile × share)
KPIvaluepctshare
True SR1.29× parp91.232.5%
Balls / boundary2.88p91.220%
Balls / six8.17p67.632.5%
Early boundaryn/ap5015%
14.7
Shot Quality 14.7 = control-% percentile
Control · Consolidation80%
Control · Build60.6%
Phase-weighted control63.2%
79.4
Impact 79.4 = WPA percentile · total +25.5
WPA · Death+25.5
49
Versatility 49 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker6b6b <min
  vs Slower ball11bp50
vs Spin (death)p91.216.7%
Reach buildp14.722.2%
2 · pos 7LHB341025415316636.3122471.7
Scout Score 71.7 = Σ(component × weight)
Componentscoreweight
Production9040%
Impact61.825%
Versatility59.218%
Shot quality20.64%
Trajectory67.613%
  form Δ (last 3 vs season)1.06×[67, 6, 29]
90
Production 90 = Σ(percentile × share)
KPIvaluepctshare
True SR1.35× parp97.132.5%
Balls / boundary2.86p97.120%
Balls / six4p97.132.5%
Early boundaryn/ap5015%
20.6
Shot Quality 20.6 = control-% percentile
Control · Consolidation58.3%
Control · Build64%
Phase-weighted control63.2%
61.8
Impact 61.8 = WPA percentile · total +0.7
WPA · Death+0.7
59.2
Versatility 59.2 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker9b9b <min
  vs Slower ball3b3b <min
vs Spin (death)p73.516.7%
Reach buildp73.522.2%
3 · pos 6LHB2611198121163.622141668.5
Scout Score 68.5 = Σ(component × weight)
Componentscoreweight
Production81.940%
Impact91.225%
Versatility50.218%
Shot quality504%
Trajectory14.713%
  form Δ (last 3 vs season)0.87×[0, 37, 7]
81.9
Production 81.9 = Σ(percentile × share)
KPIvaluepctshare
True SR1.18× parp85.332.5%
Balls / boundary3.5p85.320%
Balls / six5.6p91.232.5%
Early boundaryn/ap5015%
50
Shot Quality 50 = control-% percentile
Control · Consolidation73.3%
Control · Build68.9%
Phase-weighted control70%
91.2
Impact 91.2 = WPA percentile · total +31.9
WPA · Death+31.9
50.2
Versatility 50.2 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker2b2b <min
  vs Slower ball7b7b <min
vs Spin (death)p11.816.7%
Reach buildp79.422.2%
4 · pos 6LHB2910236139169.839.3181566.8
Scout Score 66.8 = Σ(component × weight)
Componentscoreweight
Production6540%
Impact97.125%
Versatility62.118%
Shot quality67.64%
Trajectory20.613%
  form Δ (last 3 vs season)0.87×[6, 26, 2]
65
Production 65 = Σ(percentile × share)
KPIvaluepctshare
True SR1.09× parp55.932.5%
Balls / boundary3.83p67.620%
Balls / six7.67p79.432.5%
Early boundaryn/ap5015%
67.6
Shot Quality 67.6 = control-% percentile
Control · Consolidation71.4%
Control · Build75.9%
Phase-weighted control75.3%
97.1
Impact 97.1 = WPA percentile · total +50.1
WPA · Death+50.1
62.1
Versatility 62.1 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker4b4b <min
  vs Slower ball9b9b <min
vs Spin (death)p67.616.7%
Reach buildp91.222.2%
5 · pos 6LHB2710221157140.827.623966.6
Scout Score 66.6 = Σ(component × weight)
Componentscoreweight
Production69.340%
Impact85.325%
Versatility60.518%
Shot quality61.84%
Trajectory32.413%
  form Δ (last 3 vs season)0.96×[22, 14, 34]
69.3
Production 69.3 = Σ(percentile × share)
KPIvaluepctshare
True SR1.24× parp67.632.5%
Balls / boundary2.82p79.420%
Balls / six6.2p73.532.5%
Early boundaryn/ap5015%
61.8
Shot Quality 61.8 = control-% percentile
Control · Consolidation70.4%
Control · Build79.3%
Phase-weighted control75%
85.3
Impact 85.3 = WPA percentile · total +26.7
WPA · Death+26.7
60.5
Versatility 60.5 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker4b4b <min
  vs Slower ball2b2b <min
vs Spin (death)p97.116.7%
Reach buildp61.822.2%
6 · pos 6RHB2547849159.2396357.2
Scout Score 57.2 = Σ(component × weight)
Componentscoreweight
Production56.940%
Impact73.525%
Versatility5118%
Shot quality85.34%
Trajectory26.513%
  form Δ (last 3 vs season)0.94×[30, 10, 20]
56.9
Production 56.9 = Σ(percentile × share)
KPIvaluepctshare
True SR1.22× parp61.832.5%
Balls / boundary3.62p55.920%
Balls / six9.67p55.932.5%
Early boundaryn/ap5015%
85.3
Shot Quality 85.3 = control-% percentile
Control · Consolidationn/a
Control · Build80%
Phase-weighted control80%
73.5
Impact 73.5 = WPA percentile · total +8.3
WPA · Death+8.3
51
Versatility 51 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker4b4b <min
  vs Slower ball5b5b <min
vs Spin (death)p79.416.7%
Reach buildp32.422.2%
7 · pos 7LHB2024229144.8423356.7
Scout Score 56.7 = Σ(component × weight)
Componentscoreweight
Production52.640%
Impact67.625%
Versatility42.518%
Shot quality97.14%
Trajectory55.913%
  form Δ (last 3 vs season)[23, 19]
52.6
Production 52.6 = Σ(percentile × share)
KPIvaluepctshare
True SR0.99× parp5032.5%
Balls / boundary4.2p44.120%
Balls / six7p61.832.5%
Early boundaryn/ap5015%
97.1
Shot Quality 97.1 = control-% percentile
Control · Consolidationn/a
Control · Build87.5%
Phase-weighted control87.5%
67.6
Impact 67.6 = WPA percentile · total +7
WPA · Death+7
42.5
Versatility 42.5 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker3b3b <min
  vs Slower ball0b0b <min
vs Spin (death)p20.616.7%
Reach buildp38.222.2%
8 · pos 7RHB19919411916348.5121255.2
Scout Score 55.2 = Σ(component × weight)
Componentscoreweight
Production75.740%
Impact26.525%
Versatility52.918%
Shot quality55.94%
Trajectory5013%
  form Δ (last 3 vs season)0.99×[33, 51, 6]
75.7
Production 75.7 = Σ(percentile × share)
KPIvaluepctshare
True SR1.15× parp79.432.5%
Balls / boundary4.27p73.520%
Balls / six7.11p85.332.5%
Early boundaryn/ap5015%
55.9
Shot Quality 55.9 = control-% percentile
Control · Consolidation90.9%
Control · Build70.5%
Phase-weighted control74.5%
26.5
Impact 26.5 = WPA percentile · total -11.7
WPA · Death-11.7
52.9
Versatility 52.9 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker4b4b <min
  vs Slower ball8b8b <min
vs Spin (death)p44.116.7%
Reach buildp67.622.2%
9 · pos 7RHB319234139168.32692252
Scout Score 52 = Σ(component × weight)
Componentscoreweight
Production33.840%
Impact55.925%
Versatility61.418%
Shot quality79.44%
Trajectory79.413%
  form Δ (last 3 vs season)1.12×[11, 51, 38]
33.8
Production 33.8 = Σ(percentile × share)
KPIvaluepctshare
True SRn/ap38.232.5%
Balls / boundaryn/ap26.520%
Balls / sixn/ap26.532.5%
Early boundaryn/ap5015%
79.4
Shot Quality 79.4 = control-% percentile
Control · Consolidation73.5%
Control · Build81.9%
Phase-weighted control79.9%
55.9
Impact 55.9 = WPA percentile · total +0
WPA · Death+0
61.4
Versatility 61.4 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker0b0b <min
  vs Slower ball2b2b <min
vs Spin (death)p55.916.7%
Reach buildp97.122.2%
10 · pos 8RHB309146112130.420.912748.8
Scout Score 48.8 = Σ(component × weight)
Componentscoreweight
Production6040%
Impact20.625%
Versatility37.118%
Shot quality8.84%
Trajectory97.113%
  form Δ (last 3 vs season)1.94×[11, 1, 41]
60
Production 60 = Σ(percentile × share)
KPIvaluepctshare
True SR1.24× parp73.532.5%
Balls / boundary3.2p61.820%
Balls / six10.67p5032.5%
Early boundaryn/ap5015%
8.8
Shot Quality 8.8 = control-% percentile
Control · Consolidation37.5%
Control · Build63.9%
Phase-weighted control61.2%
20.6
Impact 20.6 = WPA percentile · total -13.7
WPA · Death-13.7
37.1
Versatility 37.1 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker2b2b <min
  vs Slower ball4b4b <min
vs Spin (death)p11.816.7%
Reach buildp20.622.2%
11 · pos 7RHB317744915110.62845.6
Scout Score 45.6 = Σ(component × weight)
Componentscoreweight
Production30.740%
Impact5025%
Versatility63.718%
Shot quality32.44%
Trajectory61.813%
  form Δ (last 3 vs season)1.05×[29, 6, 0]
30.7
Production 30.7 = Σ(percentile × share)
KPIvaluepctshare
True SR0.7× parp14.732.5%
Balls / boundary6.67p20.620%
Balls / six10p44.132.5%
Early boundaryn/ap5015%
32.4
Shot Quality 32.4 = control-% percentile
Control · Consolidationn/a
Control · Build65.5%
Phase-weighted control65.5%
50
Impact 50 = WPA percentile · total -4.9
WPA · Death-4.9
63.7
Versatility 63.7 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker3b3b <min
  vs Slower ball1b1b <min
vs Spin (death)p85.316.7%
Reach buildp85.322.2%
12 · pos 8RHB2487866118.211.15441.3
Scout Score 41.3 = Σ(component × weight)
Componentscoreweight
Production26.640%
Impact44.125%
Versatility41.818%
Shot quality26.54%
Trajectory85.313%
  form Δ (last 3 vs season)1.18×[8, 17, 24]
26.6
Production 26.6 = Σ(percentile × share)
KPIvaluepctshare
True SR0.79× parp26.532.5%
Balls / boundary6p38.220%
Balls / six18p8.832.5%
Early boundaryn/ap5015%
26.5
Shot Quality 26.5 = control-% percentile
Control · Consolidationn/a
Control · Build63.3%
Phase-weighted control63.3%
44.1
Impact 44.1 = WPA percentile · total -7.6
WPA · Death-7.6
41.8
Versatility 41.8 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker1b1b <min
  vs Slower ball7b7b <min
vs Spin (death)p32.416.7%
Reach buildp26.522.2%
13 · pos 7RHB254293974.47.22138.8
Scout Score 38.8 = Σ(component × weight)
Componentscoreweight
Production26.540%
Impact38.225%
Versatility41.818%
Shot quality38.24%
Trajectory73.513%
  form Δ (last 3 vs season)1.07×[0, 9, 18]
26.5
Production 26.5 = Σ(percentile × share)
KPIvaluepctshare
True SR0.55× parp20.632.5%
Balls / boundary11p8.820%
Balls / six11p32.432.5%
Early boundaryn/ap5015%
38.2
Shot Quality 38.2 = control-% percentile
Control · Consolidation75%
Control · Build66.7%
Phase-weighted control67.9%
38.2
Impact 38.2 = WPA percentile · total -8.7
WPA · Death-8.7
41.8
Versatility 41.8 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker1b1b <min
  vs Slower ball1b1b <min
vs Spin (death)p55.916.7%
Reach buildp8.822.2%
14 · pos 7RHB288705612511.75433.6
Scout Score 33.6 = Σ(component × weight)
Componentscoreweight
Production38.540%
Impact32.425%
Versatility37.618%
Shot quality73.54%
Trajectory2.913%
  form Δ (last 3 vs season)0.85×[2, 4, 12]
38.5
Production 38.5 = Σ(percentile × share)
KPIvaluepctshare
True SR0.93× parp44.132.5%
Balls / boundary4p5020%
Balls / six14p20.632.5%
Early boundaryn/ap5015%
73.5
Shot Quality 73.5 = control-% percentile
Control · Consolidation87.5%
Control · Build75%
Phase-weighted control78.6%
32.4
Impact 32.4 = WPA percentile · total -10.8
WPA · Death-10.8
37.6
Versatility 37.6 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker2b2b <min
  vs Slower ball5b5b <min
vs Spin (death)p38.216.7%
Reach buildp2.922.2%
15 · pos 6RHB254192479.29.51029.2
Scout Score 29.2 = Σ(component × weight)
Componentscoreweight
Production36.940%
Impact2.925%
Versatility49.718%
Shot quality91.24%
Trajectory8.813%
  form Δ (last 3 vs season)0.86×[1, 1, 11]
36.9
Production 36.9 = Σ(percentile × share)
KPIvaluepctshare
True SR0.3× parp32.432.5%
Balls / boundary4p32.420%
Balls / six4p38.232.5%
Early boundaryn/ap5015%
91.2
Shot Quality 91.2 = control-% percentile
Control · Consolidation87.5%
Control · Build85.7%
Phase-weighted control86.7%
2.9
Impact 2.9 = WPA percentile · total -69.5
WPA · Death-69.5
49.7
Versatility 49.7 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker0b0b <min
  vs Slower ball0b0b <min
vs Spin (death)p55.916.7%
Reach buildp44.122.2%
16 · pos 8RHB278444793.65.53225.1
Scout Score 25.1 = Σ(component × weight)
Componentscoreweight
Production18.140%
Impact14.725%
Versatility46.118%
Shot quality2.94%
Trajectory44.113%
  form Δ (last 3 vs season)0.97×[1, 0, 9]
18.1
Production 18.1 = Σ(percentile × share)
KPIvaluepctshare
True SR0.37× parp8.832.5%
Balls / boundary10p14.720%
Balls / six20p14.732.5%
Early boundaryn/ap5015%
2.9
Shot Quality 2.9 = control-% percentile
Control · Consolidation62.5%
Control · Build60%
Phase-weighted control60.6%
14.7
Impact 14.7 = WPA percentile · total -14
WPA · Death-14
46.1
Versatility 46.1 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker0b0b <min
  vs Slower ball2b2b <min
vs Spin (death)p26.516.7%
Reach buildp5022.2%
17 · pos 8LHB2567767114.915.46120.8
Scout Score 20.8 = Σ(component × weight)
Componentscoreweight
Production1040%
Impact8.825%
Versatility43.518%
Shot quality44.14%
Trajectory38.213%
  form Δ (last 3 vs season)0.97×[25, 11, 13]
10
Production 10 = Σ(percentile × share)
KPIvaluepctshare
True SR0.5× parp2.932.5%
Balls / boundary29p2.920%
Balls / six58p2.932.5%
Early boundaryn/ap5015%
44.1
Shot Quality 44.1 = control-% percentile
Control · Consolidationn/a
Control · Build68.4%
Phase-weighted control68.4%
8.8
Impact 8.8 = WPA percentile · total -14.8
WPA · Death-14.8
43.5
Versatility 43.5 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker0b0b <min
  vs Slower ball6b6b <min
vs Spin (death)p2.916.7%
Reach buildp55.922.2%
#BowlerTypeAgeOversWktsRunsEconScoreProdQualImpactVers
1 · PP 20.9% MID 67.4% DEATH 11.6%Leg-spin43.0192375.5190.2
Scout Score 90.2 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay91.520.9%
Middle91.767.4%
Death79.411.6%
Trajectory (econ Δ, all phases)p80.80.86×
89.8
Bowling Production 89.8 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay5w · 3.78 econp96.620.9%
Middle12w · 5.97 econp8867.4%
Death2w · 6 econp87.811.6%
92
Quality 92 = false-shots induced (PP+Mid)
False-shot · Powerplay35%p81.2
False-shot · Middle38%p95.3
94.5
Impact 94.5 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +43.6p96.220.9%
MiddleWPA +76.7p99.167.4%
DeathWPA +5.2p64.611.6%
87.9
Versatility 87.9 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp85.820.9%
Middlep92.567.4%
Deathp65.611.6%
2 · PP 90.9%LA pace11.07978.8273.7
Scout Score 73.7 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay73.790.9%
Trajectory (econ Δ, all phases)p84.20.86×
58.1
Bowling Production 58.1 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay6w · 8.3 econp58.190.9%
98.8
Quality 98.8 = false-shots induced (PP+Mid)
False-shot · Powerplay48%p98.8
83.8
Impact 83.8 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +24.2p83.890.9%
58.1
Versatility 58.1 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp58.190.9%
3 · MID 71.4%Leg-spin7.03486.8670.2
Scout Score 70.2 = Σ(phase score × deployment)
Phasescoredeploy
Middle70.271.4%
Trajectory (econ Δ, all phases)p54.2
67.2
Bowling Production 67.2 = Σ(phase × deployment)
Phaselineproddeploy
Middle2w · 6.8 econp67.271.4%
97.2
Quality 97.2 = false-shots induced (PP+Mid)
False-shot · Middle57%p97.2
68.9
Impact 68.9 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +12p68.971.4%
62.3
Versatility 62.3 = Σ(phase × deployment)
Phaseversdeploy
Middlep62.371.4%
4 · MID 56.8% DEATH 43.2%Leg-spin2915.571237.7770.1
Scout Score 70.1 = Σ(phase score × deployment)
Phasescoredeploy
Middle84.656.8%
Death50.943.2%
Trajectory (econ Δ, all phases)p85.80.84×
69.4
Bowling Production 69.4 = Σ(phase × deployment)
Phaselineproddeploy
Middle5w · 5.89 econp89.456.8%
Death2w · 10.24 econp43.243.2%
70.8
Quality 70.8 = false-shots induced (PP+Mid)
False-shot · Middle32%p70.8
72.5
Impact 72.5 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +42.5p87.756.8%
DeathWPA +1.9p52.443.2%
65.3
Versatility 65.3 = Σ(phase × deployment)
Phaseversdeploy
Middlep79.256.8%
Deathp46.943.2%
5 · PP 18.2% MID 81.8%Leg-spin11.05787.0969.4
Scout Score 69.4 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay52.818.2%
Middle73.181.8%
Trajectory (econ Δ, all phases)p69.20.99×
73.1
Bowling Production 73.1 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 8.5 econp52.418.2%
Middle4w · 6.78 econp77.681.8%
56.8
Quality 56.8 = false-shots induced (PP+Mid)
False-shot · Powerplay33%p53.8
False-shot · Middle28%p57.5
71.4
Impact 71.4 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +3.2p48.818.2%
MiddleWPA +19.3p76.481.8%
69.5
Versatility 69.5 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp46.818.2%
Middlep74.581.8%
6 · MID 100%Leg-spin217.06527.4368.3
Scout Score 68.3 = Σ(phase score × deployment)
Phasescoredeploy
Middle68.3100%
Trajectory (econ Δ, all phases)p54.2
78
Bowling Production 78 = Σ(phase × deployment)
Phaselineproddeploy
Middle6w · 7.43 econp78100%
89.6
Quality 89.6 = false-shots induced (PP+Mid)
False-shot · Middle38%p89.6
53.8
Impact 53.8 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +5.1p53.8100%
52.8
Versatility 52.8 = Σ(phase × deployment)
Phaseversdeploy
Middlep52.8100%
7 · PP 20.5% MID 59% DEATH 20.5%SLA orthodox2739.0152366.0568
Scout Score 68 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay41.720.5%
Middle73.859%
Death77.520.5%
Trajectory (econ Δ, all phases)p7.51.23×
69.9
Bowling Production 69.9 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay2w · 8 econp45.520.5%
Middle7w · 5.04 econp70.859%
Death6w · 7 econp91.820.5%
71.1
Quality 71.1 = false-shots induced (PP+Mid)
False-shot · Powerplay31%p61.2
False-shot · Middle30%p74.5
79.3
Impact 79.3 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -2.6p38.820.5%
MiddleWPA +54.6p93.459%
DeathWPA +19.4p79.320.5%
81.7
Versatility 81.7 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp40.820.5%
Middlep97.259%
Deathp78.120.5%
8 · PP 8% MID 72% DEATH 20%Off-spin2425.0101746.9667.7
Scout Score 67.7 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay48.48%
Middle84.872%
Death14.120%
Trajectory (econ Δ, all phases)p29.21.08×
72.2
Bowling Production 72.2 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 8 econp54.38%
Middle8w · 5.39 econp89.572%
Death1w · 12.2 econp17.120%
82.6
Quality 82.6 = false-shots induced (PP+Mid)
False-shot · Powerplay33%p53.8
False-shot · Middle32%p85.8
72.1
Impact 72.1 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -0.3p41.28%
MiddleWPA +55.1p95.372%
DeathWPA -83.8p1.220%
73.9
Versatility 73.9 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp568%
Middlep93.472%
Deathp10.920%
9 · PP 51.1% MID 10.2% DEATH 38.7%LA pace2939.1182967.5665.8
Scout Score 65.8 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay6651.1%
Middle48.510.2%
Death70.138.7%
Trajectory (econ Δ, all phases)p22.51.13×
70.3
Bowling Production 70.3 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay5w · 7.05 econp66.551.1%
Middle3w · 9 econp59.710.2%
Death10w · 7.85 econp7838.7%
46.4
Quality 46.4 = false-shots induced (PP+Mid)
False-shot · Powerplay28%p43.8
False-shot · Middle29%p59.4
87.9
Impact 87.9 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +44.8p98.851.1%
MiddleWPA -0.4p38.710.2%
DeathWPA +31p86.638.7%
52.5
Versatility 52.5 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp52.851.1%
Middlep41.510.2%
Deathp55.138.7%
10 · PP 70% DEATH 20%LA pace3410.04717.165.6
Scout Score 65.6 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay66.470%
Death6320%
Trajectory (econ Δ, all phases)p54.2
64.3
Bowling Production 64.3 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay2w · 6.71 econp63.370%
Death2w · 8 econp67.720%
88.8
Quality 88.8 = false-shots induced (PP+Mid)
False-shot · Powerplay40%p88.8
66.4
Impact 66.4 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +11.7p66.270%
DeathWPA +6.2p67.120%
54.8
Versatility 54.8 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp56.870%
Deathp48.120%
11 · PP 11.6% MID 81.4% DEATH 7%Chinaman2543.0143417.9363.6
Scout Score 63.6 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay34.111.6%
Middle7281.4%
Death14.87%
Trajectory (econ Δ, all phases)p4.21.26×
67.8
Bowling Production 67.8 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay2w · 9.4 econp41.411.6%
Middle12w · 7.17 econp76.381.4%
Death0w · 14.33 econp12.67%
67.4
Quality 67.4 = false-shots induced (PP+Mid)
False-shot · Powerplay23%p31.2
False-shot · Middle30%p72.6
79.3
Impact 79.3 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -4.6p33.811.6%
MiddleWPA +49.5p91.581.4%
DeathWPA -20.9p13.47%
68.2
Versatility 68.2 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp41.811.6%
Middlep73.681.4%
Deathp507%
12 · PP 10.5% MID 78.9% DEATH 10.5%Off-spin2219.071447.5862.2
Scout Score 62.2 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay58.710.5%
Middle63.578.9%
Death56.110.5%
Trajectory (econ Δ, all phases)p82.50.86×
55.6
Bowling Production 55.6 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 5.5 econp63.410.5%
Middle5w · 7.87 econp53.278.9%
Death1w · 7.5 econp66.110.5%
52.1
Quality 52.1 = false-shots induced (PP+Mid)
False-shot · Powerplay33%p53.8
False-shot · Middle27%p51.9
74.3
Impact 74.3 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0.2p43.810.5%
MiddleWPA +35.1p85.878.9%
DeathWPA -18.5p18.310.5%
51.7
Versatility 51.7 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp64.810.5%
Middlep48.178.9%
Deathp65.610.5%
13 · PP 60.9% DEATH 39.1%RA pace3423.071898.2261.9
Scout Score 61.9 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay57.160.9%
Death69.539.1%
Trajectory (econ Δ, all phases)p75.80.95×
61.6
Bowling Production 61.6 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay5w · 8.57 econp55.260.9%
Death2w · 7.67 econp71.539.1%
93.8
Quality 93.8 = false-shots induced (PP+Mid)
False-shot · Powerplay40%p93.8
46.4
Impact 46.4 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -4.4p36.260.9%
DeathWPA +3.8p62.239.1%
55.9
Versatility 55.9 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp46.860.9%
Deathp70.139.1%
14 · PP 40.8% MID 35% DEATH 24.3%RA pace2317.1121377.9861.8
Scout Score 61.8 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay57.940.8%
Middle68.835%
Death58.124.3%
Trajectory (econ Δ, all phases)p40.81.01×
70.9
Bowling Production 70.9 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay5w · 6.71 econp83.340.8%
Middle5w · 8.17 econp69.335%
Death2w · 9.84 econp52.424.3%
60.8
Quality 60.8 = false-shots induced (PP+Mid)
False-shot · Powerplay31%p58.8
False-shot · Middle31%p63.2
60.4
Impact 60.4 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -10p21.240.8%
MiddleWPA +44.7p89.635%
DeathWPA +29.1p84.124.3%
61.4
Versatility 61.4 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp76.540.8%
Middlep54.235%
Deathp46.424.3%
15 · MID 92.3% DEATH 5.1%Leg-spin2939.072817.2161.4
Scout Score 61.4 = Σ(phase score × deployment)
Phasescoredeploy
Middle60.592.3%
Death78.25.1%
Trajectory (econ Δ, all phases)p94.20.81×
56.4
Bowling Production 56.4 = Σ(phase × deployment)
Phaselineproddeploy
Middle6w · 6.89 econp55.192.3%
Death1w · 5.5 econp79.55.1%
6.6
Quality 6.6 = false-shots induced (PP+Mid)
False-shot · Middle21%p6.6
80
Impact 80 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +21p80.292.3%
DeathWPA +9.9p76.85.1%
74.1
Versatility 74.1 = Σ(phase × deployment)
Phaseversdeploy
Middlep75.592.3%
Deathp505.1%
16 · PP 72.2% DEATH 27.8%RA pace2918.061377.6161.2
Scout Score 61.2 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay67.672.2%
Death44.427.8%
Trajectory (econ Δ, all phases)p87.50.83×
58.8
Bowling Production 58.8 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay3w · 6.69 econp64.772.2%
Death3w · 10 econp43.527.8%
78.8
Quality 78.8 = false-shots induced (PP+Mid)
False-shot · Powerplay33%p78.8
50.7
Impact 50.7 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +8.6p61.272.2%
DeathWPA -16.1p23.227.8%
56.2
Versatility 56.2 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp59.272.2%
Deathp48.127.8%
17 · PP 50% MID 7.9% DEATH 42.1%RA pace2438.0153228.4761.1
Scout Score 61.1 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay79.250%
Middle66.77.9%
Death38.442.1%
Trajectory (econ Δ, all phases)p92.50.82×
54.5
Bowling Production 54.5 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay6w · 7.26 econp70.350%
Middle1w · 7 econp58.27.9%
Death8w · 10.19 econp3542.1%
83.4
Quality 83.4 = false-shots induced (PP+Mid)
False-shot · Powerplay33%p83.8
False-shot · Middle44%p81.1
51.2
Impact 51.2 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +28.8p88.850%
MiddleWPA +11.2p677.9%
DeathWPA -42.4p3.742.1%
65
Versatility 65 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp67.250%
Middlep53.87.9%
Deathp64.342.1%
18 · PP 51.4% MID 17.1% DEATH 31.4%RA pace35.092948.460.9
Scout Score 60.9 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay73.251.4%
Middle72.717.1%
Death34.331.4%
Trajectory (econ Δ, all phases)p74.20.96×
44
Bowling Production 44 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay5w · 7.39 econp56.951.4%
Middle2w · 5.83 econp69.817.1%
Death2w · 11.45 econp8.931.4%
96.9
Quality 96.9 = false-shots induced (PP+Mid)
False-shot · Powerplay41%p96.2
False-shot · Middle61%p99.1
77.8
Impact 77.8 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +40p93.851.4%
MiddleWPA +10p63.217.1%
DeathWPA +3.6p59.831.4%
47.5
Versatility 47.5 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp44.551.4%
Middlep67.917.1%
Deathp41.231.4%
19 · PP 13.5% MID 62.9% DEATH 23.6%Off-spin2829.4102207.4260.1
Scout Score 60.1 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay5413.5%
Middle6062.9%
Death63.823.6%
Trajectory (econ Δ, all phases)p37.51.03×
66.5
Bowling Production 66.5 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 5.5 econp70.513.5%
Middle6w · 7.39 econp6462.9%
Death3w · 8.57 econp70.823.6%
23.6
Quality 23.6 = false-shots induced (PP+Mid)
False-shot · Powerplay21%p23.8
False-shot · Middle20%p23.6
76.7
Impact 76.7 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +3.3p51.213.5%
MiddleWPA +32.1p8462.9%
DeathWPA +7.2p7223.6%
53.8
Versatility 53.8 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp60.813.5%
Middlep61.362.9%
Deathp29.723.6%
20 · PP 50% MID 35% DEATH 15%SLA orthodox1920.061376.8559.7
Scout Score 59.7 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay60.350%
Middle57.335%
Death63.215%
Trajectory (econ Δ, all phases)p17.51.15×
73.8
Bowling Production 73.8 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay3w · 6.6 econp76.450%
Middle3w · 7.29 econp71.335%
Death0w · 6.67 econp71.115%
27.1
Quality 27.1 = false-shots induced (PP+Mid)
False-shot · Powerplay20%p13.8
False-shot · Middle24%p46.2
69.9
Impact 69.9 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +22.5p78.850%
MiddleWPA +6p57.535%
DeathWPA +6.7p69.515%
60.3
Versatility 60.3 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp61.850%
Middlep59.435%
Deathp57.815%
21 · PP 40.9% MID 13.6% DEATH 45.5%RA pace2229.2152478.4258
Scout Score 58 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay76.140.9%
Middle65.413.6%
Death39.545.5%
Trajectory (econ Δ, all phases)p90.80.82×
52.9
Bowling Production 52.9 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay4w · 6.92 econp69.540.9%
Middle1w · 6.5 econp5913.6%
Death10w · 10.35 econp36.245.5%
71.8
Quality 71.8 = false-shots induced (PP+Mid)
False-shot · Powerplay33%p73.8
False-shot · Middle33%p66
57.8
Impact 57.8 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +30.1p91.240.9%
MiddleWPA +10.8p65.113.6%
DeathWPA -14.3p25.645.5%
43.5
Versatility 43.5 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp4940.9%
Middlep64.213.6%
Deathp32.545.5%
22 · PP 27% MID 64.9% DEATH 8.1%SLA orthodox2137.0142797.5457.5
Scout Score 57.5 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay64.427%
Middle56.164.9%
Death44.98.1%
Trajectory (econ Δ, all phases)p34.21.04×
73.7
Bowling Production 73.7 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay4w · 7 econp79.927%
Middle9w · 7.54 econp74.264.9%
Death1w · 9.33 econp49.18.1%
11.3
Quality 11.3 = false-shots induced (PP+Mid)
False-shot · Powerplay27%p36.2
False-shot · Middle18%p0.9
70.3
Impact 70.3 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +16.6p73.827%
MiddleWPA +17.6p72.664.9%
DeathWPA -3.6p40.28.1%
51.6
Versatility 51.6 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp52.527%
Middlep51.964.9%
Deathp46.98.1%
23 · PP 54.1% MID 5.4% DEATH 40.5%RA pace3437.0143108.3854.9
Scout Score 54.9 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay56.854.1%
Middle53.75.4%
Death52.640.5%
Trajectory (econ Δ, all phases)p15.81.16×
51.5
Bowling Production 51.5 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay4w · 7.1 econp58.854.1%
Middle1w · 7 econp59.55.4%
Death9w · 10.27 econp40.740.5%
75.5
Quality 75.5 = false-shots induced (PP+Mid)
False-shot · Powerplay32%p76.2
False-shot · Middle42%p68.9
72.5
Impact 72.5 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +5.7p58.854.1%
MiddleWPA +1.3p505.4%
DeathWPA +50.6p93.940.5%
54.1
Versatility 54.1 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp55.854.1%
Middlep55.75.4%
Deathp51.640.5%
24 · PP 47.4% MID 26.3% DEATH 26.3%RA pace2138.0143268.5854.7
Scout Score 54.7 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay60.747.4%
Middle55.926.3%
Death42.726.3%
Trajectory (econ Δ, all phases)p9.21.21×
52.6
Bowling Production 52.6 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay6w · 8.22 econp54.947.4%
Middle4w · 8.1 econp5926.3%
Death4w · 9.7 econp41.926.3%
90
Quality 90 = false-shots induced (PP+Mid)
False-shot · Powerplay37%p91.2
False-shot · Middle35%p87.7
61.6
Impact 61.6 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +16.2p71.247.4%
MiddleWPA +5.5p55.726.3%
DeathWPA +1.8p5026.3%
56
Versatility 56 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp59.547.4%
Middlep45.326.3%
Deathp60.326.3%
25 · MID 67.8% DEATH 32.2%Leg-spin3419.191568.1454.5
Scout Score 54.5 = Σ(phase score × deployment)
Phasescoredeploy
Middle4767.8%
Death70.532.2%
Trajectory (econ Δ, all phases)p27.51.09×
62.1
Bowling Production 62.1 = Σ(phase × deployment)
Phaselineproddeploy
Middle5w · 8.69 econp48.767.8%
Death4w · 6.97 econp90.332.2%
40.6
Quality 40.6 = false-shots induced (PP+Mid)
False-shot · Middle23%p40.6
56.1
Impact 56.1 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +8.1p61.367.8%
DeathWPA -0.1p45.132.2%
49.4
Versatility 49.4 = Σ(phase × deployment)
Phaseversdeploy
Middlep35.867.8%
Deathp78.132.2%
26 · MID 87.2% DEATH 12.8%Chinaman1739.0132767.0853.2
Scout Score 53.2 = Σ(phase score × deployment)
Phasescoredeploy
Middle4987.2%
Death81.912.8%
Trajectory (econ Δ, all phases)p39.21.01×
65.8
Bowling Production 65.8 = Σ(phase × deployment)
Phaselineproddeploy
Middle11w · 7.35 econp62.487.2%
Death2w · 5.2 econp88.912.8%
76.4
Quality 76.4 = false-shots induced (PP+Mid)
False-shot · Middle30%p76.4
12.2
Impact 12.2 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA -52.4p0.987.2%
DeathWPA +39p8912.8%
79.5
Versatility 79.5 = Σ(phase × deployment)
Phaseversdeploy
Middlep80.287.2%
Deathp7512.8%
27 · PP 36.5% MID 60.2%Leg-spin2730.182157.1353.1
Scout Score 53.1 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay25.836.5%
Middle69.660.2%
Trajectory (econ Δ, all phases)p5.81.24×
62.1
Bowling Production 62.1 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 7.82 econp34.136.5%
Middle7w · 7.05 econp7960.2%
27.9
Quality 27.9 = false-shots induced (PP+Mid)
False-shot · Powerplay17%p3.8
False-shot · Middle24%p42.5
71.4
Impact 71.4 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -6.4p28.836.5%
MiddleWPA +71.8p97.260.2%
58.1
Versatility 58.1 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp38.836.5%
Middlep69.860.2%
28 · MID 73.3% DEATH 20%Off-spin3015.051147.652
Scout Score 52 = Σ(phase score × deployment)
Phasescoredeploy
Middle42.773.3%
Death86.220%
Trajectory (econ Δ, all phases)p89.20.83×
49.8
Bowling Production 49.8 = Σ(phase × deployment)
Phaselineproddeploy
Middle3w · 8.27 econp39.373.3%
Death2w · 4.33 econp88.320%
12.3
Quality 12.3 = false-shots induced (PP+Mid)
False-shot · Middle18%p12.3
53.8
Impact 53.8 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +0.5p46.273.3%
DeathWPA +26.7p81.720%
53
Versatility 53 = Σ(phase × deployment)
Phaseversdeploy
Middlep45.373.3%
Deathp81.220%
29 · PP 40% MID 41.9% DEATH 18.1%SLA orthodox1817.391589.0350.5
Scout Score 50.5 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay41.940%
Middle50.141.9%
Death70.818.1%
Trajectory (econ Δ, all phases)p14.21.17×
49.9
Bowling Production 49.9 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 7.29 econp44.540%
Middle5w · 11.05 econp45.141.9%
Death3w · 8.21 econp7318.1%
45.4
Quality 45.4 = false-shots induced (PP+Mid)
False-shot · Powerplay24%p28.8
False-shot · Middle30%p61.3
69
Impact 69 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +5p53.840%
MiddleWPA +13.8p70.841.9%
DeathWPA +86p98.818.1%
44.5
Versatility 44.5 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp46.840%
Middlep38.741.9%
Deathp53.118.1%
30 · PP 40% MID 60%RA pace5.02418.249.8
Scout Score 49.8 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay19.440%
Middle70.160%
Trajectory (econ Δ, all phases)p54.2
57.3
Bowling Production 57.3 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 14 econp16.540%
Middle2w · 4.33 econp84.660%
25.6
Quality 25.6 = false-shots induced (PP+Mid)
False-shot · Powerplay0%p8.8
False-shot · Middle17%p36.8
49.2
Impact 49.2 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -13.1p11.240%
MiddleWPA +18.9p74.560%
55.4
Versatility 55.4 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp33.940%
Middlep69.860%
31 · MID 52.6% DEATH 47.4%RA pace2919.0111819.5349.1
Scout Score 49.1 = Σ(phase score × deployment)
Phasescoredeploy
Middle48.152.6%
Death50.247.4%
Trajectory (econ Δ, all phases)p79.20.89×
53.5
Bowling Production 53.5 = Σ(phase × deployment)
Phaselineproddeploy
Middle6w · 9.1 econp51.252.6%
Death5w · 10 econp56.147.4%
93.4
Quality 93.4 = false-shots induced (PP+Mid)
False-shot · Middle37%p93.4
21.4
Impact 21.4 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA -32.6p6.652.6%
DeathWPA -4.4p37.847.4%
36.1
Versatility 36.1 = Σ(phase × deployment)
Phaseversdeploy
Middlep42.552.6%
Deathp2947.4%
32 · MID 88.9%Off-spin289.02788.6746.6
Scout Score 46.6 = Σ(phase score × deployment)
Phasescoredeploy
Middle46.688.9%
Trajectory (econ Δ, all phases)p24.21.12×
50.4
Bowling Production 50.4 = Σ(phase × deployment)
Phaselineproddeploy
Middle2w · 7.5 econp50.488.9%
27.4
Quality 27.4 = false-shots induced (PP+Mid)
False-shot · Middle19%p27.4
59.4
Impact 59.4 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +7p59.488.9%
50.9
Versatility 50.9 = Σ(phase × deployment)
Phaseversdeploy
Middlep50.988.9%
33 · PP 58.4% MID 15.9% DEATH 25.7%RA pace2118.561648.7144.8
Scout Score 44.8 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay54.258.4%
Middle45.615.9%
Death22.925.7%
Trajectory (econ Δ, all phases)p10.81.18×
39.7
Bowling Production 39.7 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 7.27 econp43.658.4%
Middle1w · 9 econp42.615.9%
Death4w · 11.79 econp28.925.7%
69.4
Quality 69.4 = false-shots induced (PP+Mid)
False-shot · Powerplay32%p66.2
False-shot · Middle44%p81.1
53.8
Impact 53.8 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +20.2p76.258.4%
MiddleWPA +0p44.315.9%
DeathWPA -26.1p8.525.7%
51.8
Versatility 51.8 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp60.658.4%
Middlep42.515.9%
Deathp37.725.7%
34 · PP 35.5% MID 41.9% DEATH 22.6%SLA orthodox2131.082538.1644.3
Scout Score 44.3 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay59.735.5%
Middle33.941.9%
Death39.522.6%
Trajectory (econ Δ, all phases)p19.21.15×
51.7
Bowling Production 51.7 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay5w · 7.36 econp73.835.5%
Middle2w · 8.08 econp34.541.9%
Death1w · 9.57 econp48.822.6%
16.7
Quality 16.7 = false-shots induced (PP+Mid)
False-shot · Powerplay20%p6.2
False-shot · Middle20%p25.5
52.9
Impact 52.9 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +24.2p86.235.5%
MiddleWPA -2p36.841.9%
DeathWPA -6.7p30.522.6%
47.9
Versatility 47.9 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp55.235.5%
Middlep49.141.9%
Deathp34.422.6%
35 · PP 48.7% MID 20.5% DEATH 30.8%RA pace3039.0163549.0844.2
Scout Score 44.2 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay38.348.7%
Middle64.620.5%
Death4030.8%
Trajectory (econ Δ, all phases)p72.50.97×
45.8
Bowling Production 45.8 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay7w · 8.74 econp44.948.7%
Middle4w · 8.25 econp6420.5%
Death5w · 10.17 econp3530.8%
44.9
Quality 44.9 = false-shots induced (PP+Mid)
False-shot · Powerplay28%p41.2
False-shot · Middle27%p53.8
27.7
Impact 27.7 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -28.1p6.248.7%
MiddleWPA +19.7p78.320.5%
DeathWPA -8.4p2830.8%
54.4
Versatility 54.4 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp61.548.7%
Middlep44.320.5%
Deathp49.930.8%
36 · PP 66.7% MID 33.3%SLA orthodox2612.051028.542.9
Scout Score 42.9 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay41.966.7%
Middle44.833.3%
Trajectory (econ Δ, all phases)p2.51.27×
45
Bowling Production 45 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay2w · 8.38 econp35.166.7%
Middle3w · 8.75 econp64.933.3%
29.5
Quality 29.5 = false-shots induced (PP+Mid)
False-shot · Powerplay19%p11.2
False-shot · Middle33%p66
59.5
Impact 59.5 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +22.6p81.266.7%
MiddleWPA -18.3p1633.3%
48.2
Versatility 48.2 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp47.566.7%
Middlep49.533.3%
37 · MID 83.3%RA pace6.03599.8342.1
Scout Score 42.1 = Σ(phase score × deployment)
Phasescoredeploy
Middle42.183.3%
Trajectory (econ Δ, all phases)p54.2
48.5
Bowling Production 48.5 = Σ(phase × deployment)
Phaselineproddeploy
Middle2w · 8.6 econp48.583.3%
17
Quality 17 = false-shots induced (PP+Mid)
False-shot · Middle13%p17
42.5
Impact 42.5 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA -0.1p42.583.3%
42.5
Versatility 42.5 = Σ(phase × deployment)
Phaseversdeploy
Middlep42.583.3%
38 · PP 44.4% MID 22.2% DEATH 33.3%LA pace209.0310211.3342
Scout Score 42 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay24.344.4%
Middle51.922.2%
Death5933.3%
Trajectory (econ Δ, all phases)p77.50.91×
32.7
Bowling Production 32.7 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 15.75 econp4.944.4%
Middle0w · 6.5 econp45.122.2%
Death3w · 8.67 econp61.433.3%
63.5
Quality 63.5 = false-shots induced (PP+Mid)
False-shot · Powerplay38%p71.2
False-shot · Middle25%p48.1
32.3
Impact 32.3 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -28.6p3.844.4%
MiddleWPA +3p51.922.2%
DeathWPA +2.9p57.333.3%
38.8
Versatility 38.8 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp29.444.4%
Middlep56.622.2%
Deathp39.433.3%
39 · PP 66.7% MID 33.3%RA pace316.01538.8341.3
Scout Score 41.3 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay47.566.7%
Middle28.833.3%
Trajectory (econ Δ, all phases)p54.2
38.6
Bowling Production 38.6 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 7.75 econp48.266.7%
Middle0w · 11 econp19.333.3%
22.8
Quality 22.8 = false-shots induced (PP+Mid)
False-shot · Powerplay21%p23.8
False-shot · Middle0%p20.8
48.5
Impact 48.5 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +5.2p56.266.7%
MiddleWPA -8p3333.3%
46.3
Versatility 46.3 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp50.166.7%
Middlep38.733.3%
40 · MID 66.7% DEATH 22.2%Off-spin229.01808.8940.4
Scout Score 40.4 = Σ(phase score × deployment)
Phasescoredeploy
Middle31.766.7%
Death66.822.2%
Trajectory (econ Δ, all phases)p54.2
41.2
Bowling Production 41.2 = Σ(phase × deployment)
Phaselineproddeploy
Middle1w · 8.5 econp31.766.7%
Death0w · 6.5 econp69.722.2%
33
Quality 33 = false-shots induced (PP+Mid)
False-shot · Middle19%p33
33.5
Impact 33.5 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA -13.2p19.866.7%
DeathWPA +8.4p74.422.2%
37.4
Versatility 37.4 = Σ(phase × deployment)
Phaseversdeploy
Middlep35.866.7%
Deathp42.222.2%
41 · PP 71.2% MID 7.5% DEATH 21.2%LA pace2626.462459.1939.7
Scout Score 39.7 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay44.671.2%
Middle227.5%
Death29.521.2%
Trajectory (econ Δ, all phases)p12.51.17×
40.1
Bowling Production 40.1 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay6w · 8.32 econp46.271.2%
Middle0w · 12 econp16.87.5%
Death0w · 11.12 econp27.621.2%
16.6
Quality 16.6 = false-shots induced (PP+Mid)
False-shot · Powerplay23%p16.2
False-shot · Middle0%p20.8
55.7
Impact 55.7 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +13.5p68.871.2%
MiddleWPA -8.1p31.17.5%
DeathWPA -17.8p20.721.2%
49.9
Versatility 49.9 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp4871.2%
Middlep29.27.5%
Deathp63.821.2%
42 · MID 100%Off-spin208.00688.539.7
Scout Score 39.7 = Σ(phase score × deployment)
Phasescoredeploy
Middle39.7100%
Trajectory (econ Δ, all phases)p97.50.79×
26.2
Bowling Production 26.2 = Σ(phase × deployment)
Phaselineproddeploy
Middle0w · 8.5 econp26.2100%
14.2
Quality 14.2 = false-shots induced (PP+Mid)
False-shot · Middle17%p14.2
48.1
Impact 48.1 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +1.2p48.1100%
49.1
Versatility 49.1 = Σ(phase × deployment)
Phaseversdeploy
Middlep49.1100%
43 · PP 12.9% MID 25.9% DEATH 61.2%RA pace2623.1825110.8337.7
Scout Score 37.7 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay29.412.9%
Middle31.525.9%
Death42.161.2%
Trajectory (econ Δ, all phases)p35.81.04×
19.9
Bowling Production 19.9 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 9.67 econp23.812.9%
Middle2w · 10.33 econp27.525.9%
Death6w · 11.29 econp15.961.2%
63.5
Quality 63.5 = false-shots induced (PP+Mid)
False-shot · Powerplay22%p33.8
False-shot · Middle36%p78.3
63.2
Impact 63.2 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -5.2p31.212.9%
MiddleWPA -19.9p12.325.9%
DeathWPA +42.1p91.561.2%
39.9
Versatility 39.9 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp32.512.9%
Middlep22.625.9%
Deathp48.761.2%
44 · PP 62.7% MID 32.1%SLA orthodox3522.261968.7837.7
Scout Score 37.7 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay24.462.7%
Middle63.732.1%
Trajectory (econ Δ, all phases)p99.20.56×
31.4
Bowling Production 31.4 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay2w · 8.36 econp19.762.7%
Middle4w · 9.21 econp54.232.1%
19.7
Quality 19.7 = false-shots induced (PP+Mid)
False-shot · Powerplay17%p1.2
False-shot · Middle28%p55.7
36.9
Impact 36.9 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -13.1p13.862.7%
MiddleWPA +23p82.132.1%
33
Versatility 33 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp31.562.7%
Middlep35.832.1%
45 · MID 87.5% DEATH 12.5%RA pace3116.061368.537.5
Scout Score 37.5 = Σ(phase score × deployment)
Phasescoredeploy
Middle35.587.5%
Death51.912.5%
Trajectory (econ Δ, all phases)p30.81.06×
44.6
Bowling Production 44.6 = Σ(phase × deployment)
Phaselineproddeploy
Middle4w · 8.36 econp4287.5%
Death2w · 9.5 econp62.812.5%
34.9
Quality 34.9 = false-shots induced (PP+Mid)
False-shot · Middle23%p34.9
27.5
Impact 27.5 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA -9.9p23.687.5%
DeathWPA +2.7p54.912.5%
42.4
Versatility 42.4 = Σ(phase × deployment)
Phaseversdeploy
Middlep44.387.5%
Deathp2912.5%
46 · PP 80%RA pace335.0045937.2
Scout Score 37.2 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay37.280%
Trajectory (econ Δ, all phases)p54.2
16.6
Bowling Production 16.6 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 9 econp16.680%
63.8
Quality 63.8 = false-shots induced (PP+Mid)
False-shot · Powerplay33%p63.8
46.2
Impact 46.2 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +1.5p46.280%
33.5
Versatility 33.5 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp33.580%
47 · PP 45.5% MID 27.3% DEATH 27.3%LA pace3111.0312211.0936.6
Scout Score 36.6 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay38.745.5%
Middle29.327.3%
Death40.227.3%
Trajectory (econ Δ, all phases)p54.2
35
Bowling Production 35 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay3w · 11.4 econp46.245.5%
Middle0w · 9.33 econp2427.3%
Death0w · 12.33 econp27.227.3%
28.2
Quality 28.2 = false-shots induced (PP+Mid)
False-shot · Powerplay27%p38.8
False-shot · Middle6%p10.4
30
Impact 30 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -9.9p23.845.5%
MiddleWPA -5.5p34.927.3%
DeathWPA -4.8p35.427.3%
47.5
Versatility 47.5 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp3545.5%
Middlep37.327.3%
Deathp78.727.3%
48 · PP 28.6% MID 42.9% DEATH 28.6%Off-spin207.027510.7135.9
Scout Score 35.9 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay24.328.6%
Middle39.742.9%
Death4228.6%
Trajectory (econ Δ, all phases)p54.2
33
Bowling Production 33 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 11.5 econp1928.6%
Middle1w · 10 econp37.642.9%
Death1w · 11 econp4028.6%
25
Quality 25 = false-shots induced (PP+Mid)
False-shot · Powerplay8%p18.8
False-shot · Middle11%p29.2
36.3
Impact 36.3 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -10.8p18.828.6%
MiddleWPA -0.2p40.642.9%
DeathWPA +0p47.628.6%
35.8
Versatility 35.8 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp37.228.6%
Middlep45.342.9%
Deathp20.328.6%
49 · MID 85.7%SLA orthodox327.027310.4334.7
Scout Score 34.7 = Σ(phase score × deployment)
Phasescoredeploy
Middle34.785.7%
Trajectory (econ Δ, all phases)p54.2
36.8
Bowling Production 36.8 = Σ(phase × deployment)
Phaselineproddeploy
Middle2w · 9.17 econp36.885.7%
44.3
Quality 44.3 = false-shots induced (PP+Mid)
False-shot · Middle22%p44.3
14.2
Impact 14.2 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA -19.4p14.285.7%
42.5
Versatility 42.5 = Σ(phase × deployment)
Phaseversdeploy
Middlep42.585.7%
50 · PP 44.4% MID 22.2% DEATH 33.3%RA pace329.0210011.1134.1
Scout Score 34.1 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay42.844.4%
Middle3922.2%
Death19.133.3%
Trajectory (econ Δ, all phases)p54.2
32.5
Bowling Production 32.5 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay2w · 8.5 econp57.244.4%
Middle0w · 10 econp2222.2%
Death0w · 15.33 econp6.533.3%
46.4
Quality 46.4 = false-shots induced (PP+Mid)
False-shot · Powerplay21%p23.8
False-shot · Middle58%p91.5
21.4
Impact 21.4 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -7.8p26.244.4%
MiddleWPA -8.9p27.422.2%
DeathWPA -25.5p1133.3%
45.8
Versatility 45.8 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp5044.4%
Middlep39.222.2%
Deathp44.633.3%
51 · PP 31.8% MID 31.8% DEATH 36.4%LA pace2725.1626910.6932.8
Scout Score 32.8 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay33.831.8%
Middle29.631.8%
Death34.636.4%
Trajectory (econ Δ, all phases)p95.80.81×
14.7
Bowling Production 14.7 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay2w · 10.62 econp18.531.8%
Middle0w · 9.75 econp8.131.8%
Death4w · 11.56 econp17.136.4%
76.4
Quality 76.4 = false-shots induced (PP+Mid)
False-shot · Powerplay33%p68.8
False-shot · Middle35%p84
18.7
Impact 18.7 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -11.5p16.231.8%
MiddleWPA -35.4p4.731.8%
DeathWPA -4.8p32.936.4%
32.6
Versatility 32.6 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp2531.8%
Middlep26.431.8%
Deathp44.636.4%
52 · MID 82.9% DEATH 17.1%RA pace1925.2725910.2231.2
Scout Score 31.2 = Σ(phase score × deployment)
Phasescoredeploy
Middle22.882.9%
Death71.817.1%
Trajectory (econ Δ, all phases)p70.80.99×
22.7
Bowling Production 22.7 = Σ(phase × deployment)
Phaselineproddeploy
Middle6w · 10.48 econp14.382.9%
Death1w · 9 econp63.417.1%
50
Quality 50 = false-shots induced (PP+Mid)
False-shot · Middle26%p50
23.5
Impact 23.5 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA -32.4p8.582.9%
DeathWPA +78.2p96.317.1%
14.7
Versatility 14.7 = Σ(phase × deployment)
Phaseversdeploy
Middlep5.782.9%
Deathp58.617.1%
53 · MID 94.7%SLA orthodox236.216410.1130.4
Scout Score 30.4 = Σ(phase score × deployment)
Phasescoredeploy
Middle30.494.7%
Trajectory (econ Δ, all phases)p54.2
30.3
Bowling Production 30.3 = Σ(phase × deployment)
Phaselineproddeploy
Middle1w · 8.67 econp30.394.7%
8.5
Quality 8.5 = false-shots induced (PP+Mid)
False-shot · Middle14%p8.5
29.2
Impact 29.2 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA -8.9p29.294.7%
40.6
Versatility 40.6 = Σ(phase × deployment)
Phaseversdeploy
Middlep40.694.7%
54 · MID 100%Leg-spin214.01481227.3
Scout Score 27.3 = Σ(phase score × deployment)
Phasescoredeploy
Middle27.3100%
Trajectory (econ Δ, all phases)p54.2
20.1
Bowling Production 20.1 = Σ(phase × deployment)
Phaselineproddeploy
Middle1w · 12 econp20.1100%
31.1
Quality 31.1 = false-shots induced (PP+Mid)
False-shot · Middle17%p31.1
25.5
Impact 25.5 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA -9.5p25.5100%
26.4
Versatility 26.4 = Σ(phase × deployment)
Phaseversdeploy
Middlep26.4100%
55 · PP 66.7% DEATH 33.3%RA pace1815.0617711.826.3
Scout Score 26.3 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay34.266.7%
Death10.533.3%
Trajectory (econ Δ, all phases)p0.81.29×
35.3
Bowling Production 35.3 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay5w · 9.1 econp50.566.7%
Death1w · 17.2 econp5.133.3%
48.8
Quality 48.8 = false-shots induced (PP+Mid)
False-shot · Powerplay30%p48.8
7.9
Impact 7.9 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -20.8p8.866.7%
DeathWPA -29.1p6.133.3%
49.5
Versatility 49.5 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp52.866.7%
Deathp42.933.3%
56 · PP 16% MID 72%RA pace3112.3313310.6426.2
Scout Score 26.2 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay60.916%
Middle18.572%
Trajectory (econ Δ, all phases)p32.51.04×
27.8
Bowling Production 27.8 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 4 econp57.616%
Middle3w · 11.89 econp21.172%
47.3
Quality 47.3 = false-shots induced (PP+Mid)
False-shot · Powerplay50%p86.2
False-shot · Middle22%p38.7
13.9
Impact 13.9 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +10.2p63.816%
MiddleWPA -40.8p2.872%
14.9
Versatility 14.9 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp56.416%
Middlep5.772%
57 · MID 100%Off-spin235.01489.625.9
Scout Score 25.9 = Σ(phase score × deployment)
Phasescoredeploy
Middle25.9100%
Trajectory (econ Δ, all phases)p67.50.99×
21.4
Bowling Production 21.4 = Σ(phase × deployment)
Phaselineproddeploy
Middle1w · 9.6 econp21.4100%
17
Quality 17 = false-shots induced (PP+Mid)
False-shot · Middle13%p17
21.7
Impact 21.7 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA -12.9p21.7100%
25.5
Versatility 25.5 = Σ(phase × deployment)
Phaseversdeploy
Middlep25.5100%
58 · MID 86.2% DEATH 10.3%Chinaman1929.032508.6225.8
Scout Score 25.8 = Σ(phase score × deployment)
Phasescoredeploy
Middle24.686.2%
Death35.710.3%
Trajectory (econ Δ, all phases)p20.81.14×
36.7
Bowling Production 36.7 = Σ(phase × deployment)
Phaselineproddeploy
Middle3w · 8.08 econp3586.2%
Death0w · 10.33 econp51.110.3%
4.7
Quality 4.7 = false-shots induced (PP+Mid)
False-shot · Middle20%p4.7
11
Impact 11 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA -31.9p10.486.2%
DeathWPA -19.3p15.910.3%
45.3
Versatility 45.3 = Σ(phase × deployment)
Phaseversdeploy
Middlep49.186.2%
Deathp14.110.3%
59 · PP 82.5% DEATH 17.5%RA pace2213.2313510.1224
Scout Score 24 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay20.182.5%
Death42.317.5%
Trajectory (econ Δ, all phases)p25.81.1×
21
Bowling Production 21 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay2w · 10 econp17.282.5%
Death1w · 10.71 econp3917.5%
46.2
Quality 46.2 = false-shots induced (PP+Mid)
False-shot · Powerplay29%p46.2
8.5
Impact 8.5 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -28.9p1.282.5%
DeathWPA -2.2p42.717.5%
42.4
Versatility 42.4 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp37.582.5%
Deathp65.517.5%
60 · MID 100%RA pace254.004110.2518.5
Scout Score 18.5 = Σ(phase score × deployment)
Phasescoredeploy
Middle18.5100%
Trajectory (econ Δ, all phases)p54.2
12.3
Bowling Production 12.3 = Σ(phase × deployment)
Phaselineproddeploy
Middle0w · 10.25 econp12.3100%
2.8
Quality 2.8 = false-shots induced (PP+Mid)
False-shot · Middle4%p2.8
17.9
Impact 17.9 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA -17.1p17.9100%
29.2
Versatility 29.2 = Σ(phase × deployment)
Phaseversdeploy
Middlep29.2100%
#BowlerTypeAgeOversWktsRunsEconProdQualImpactVers
1 · 20.9% of his oversLeg-spin9.05343.7896.6
Phase Production 96.6 vs all bowlers · n=40
KPIvaluepctshare
True economy0.466× parp98.836.8%
Wicket rate0.56/ovp93.842.1%
Boundary %7%p98.821.1%
81.2
Quality 81.2 = false-shots induced
False-shot %35%
96.2
Impact 96.2 = WPA percentile in phase
WPA (this phase)+43.6
85.8
Versatility 85.8 = Σ(pct × share)
Econ vs RHBp98.830%
Econ vs LHBp68.830%
Wkt vs RHBp91.220%
Wkt vs LHBp86.220%
2 · 40.8% of his oversRA pace237.05476.7183.3
Phase Production 83.3 vs all bowlers · n=40
KPIvaluepctshare
True economy0.828× parp72.536.8%
Wicket rate0.71/ovp98.842.1%
Boundary %17%p71.221.1%
58.8
Quality 58.8 = false-shots induced
False-shot %31%
21.2
Impact 21.2 = WPA percentile in phase
WPA (this phase)-10
76.5
Versatility 76.5 = Σ(pct × share)
Econ vs RHBp61.230%
Econ vs LHBp66.230%
Wkt vs RHBp93.820%
Wkt vs LHBp97.520%
3 · 27% of his oversSLA orthodox2110.0470779.9
Phase Production 79.9 vs all bowlers · n=40
KPIvaluepctshare
True economy0.863× parp76.236.8%
Wicket rate0.40/ovp81.242.1%
Boundary %15%p83.821.1%
36.2
Quality 36.2 = false-shots induced
False-shot %27%
73.8
Impact 73.8 = WPA percentile in phase
WPA (this phase)+16.6
52.5
Versatility 52.5 = Σ(pct × share)
Econ vs RHBp93.830%
Econ vs LHBp21.230%
Wkt vs RHBp83.820%
Wkt vs LHBp6.220%
4 · 50% of his oversSLA orthodox1910.03666.676.4
Phase Production 76.4 vs all bowlers · n=40
KPIvaluepctshare
True economy0.814× parp93.836.8%
Wicket rate0.30/ovp53.842.1%
Boundary %13%p91.221.1%
13.8
Quality 13.8 = false-shots induced
False-shot %20%
78.8
Impact 78.8 = WPA percentile in phase
WPA (this phase)+22.5
61.8
Versatility 61.8 = Σ(pct × share)
Econ vs RHBp78.830%
Econ vs LHBp71.230%
Wkt vs RHBp61.220%
Wkt vs LHBp22.520%
5 · 35.5% of his oversSLA orthodox2111.05817.3673.8
Phase Production 73.8 vs all bowlers · n=40
KPIvaluepctshare
True economy0.908× parp63.836.8%
Wicket rate0.46/ovp86.242.1%
Boundary %18%p66.221.1%
6.2
Quality 6.2 = false-shots induced
False-shot %20%
86.2
Impact 86.2 = WPA percentile in phase
WPA (this phase)+24.2
55.2
Versatility 55.2 = Σ(pct × share)
Econ vs RHBp73.830%
Econ vs LHBp23.830%
Wkt vs RHBp86.220%
Wkt vs LHBp43.820%
6 · 13.5% of his oversOff-spin284.01225.570.5
Phase Production 70.5 vs all bowlers · n=40
KPIvaluepctshare
True economy0.678× parp86.236.8%
Wicket rate0.25/ovp4542.1%
Boundary %4%p93.821.1%
23.8
Quality 23.8 = false-shots induced
False-shot %21%
51.2
Impact 51.2 = WPA percentile in phase
WPA (this phase)+3.3
60.8
Versatility 60.8 = Σ(pct × share)
Econ vs RHBp58.830%
Econ vs LHBp91.230%
Wkt vs RHBp66.220%
Wkt vs LHBp12.520%
7 · 50% of his oversRA pace2419.061387.2670.3
Phase Production 70.3 vs all bowlers · n=40
KPIvaluepctshare
True economy0.896× parp78.836.8%
Wicket rate0.32/ovp57.542.1%
Boundary %18%p81.221.1%
83.8
Quality 83.8 = false-shots induced
False-shot %33%
88.8
Impact 88.8 = WPA percentile in phase
WPA (this phase)+28.8
67.2
Versatility 67.2 = Σ(pct × share)
Econ vs RHBp63.830%
Econ vs LHBp73.830%
Wkt vs RHBp46.220%
Wkt vs LHBp83.820%
8 · 40.9% of his oversRA pace2212.04836.9269.5
Phase Production 69.5 vs all bowlers · n=40
KPIvaluepctshare
True economy0.853× parp83.836.8%
Wicket rate0.34/ovp61.242.1%
Boundary %19%p61.221.1%
73.8
Quality 73.8 = false-shots induced
False-shot %33%
91.2
Impact 91.2 = WPA percentile in phase
WPA (this phase)+30.1
49
Versatility 49 = Σ(pct × share)
Econ vs RHBp96.230%
Econ vs LHBp13.830%
Wkt vs RHBp78.820%
Wkt vs LHBp1.220%
9 · 51.1% of his oversLA pace2920.051417.0566.5
Phase Production 66.5 vs all bowlers · n=40
KPIvaluepctshare
True economy0.869× parp91.236.8%
Wicket rate0.25/ovp33.842.1%
Boundary %16%p88.821.1%
43.8
Quality 43.8 = false-shots induced
False-shot %28%
98.8
Impact 98.8 = WPA percentile in phase
WPA (this phase)+44.8
52.8
Versatility 52.8 = Σ(pct × share)
Econ vs RHBp86.230%
Econ vs LHBp53.830%
Wkt vs RHBp31.220%
Wkt vs LHBp22.520%
10 · 72.2% of his oversRA pace2913.03876.6964.7
Phase Production 64.7 vs all bowlers · n=40
KPIvaluepctshare
True economy0.825× parp96.236.8%
Wicket rate0.23/ovp31.242.1%
Boundary %18%p76.221.1%
78.8
Quality 78.8 = false-shots induced
False-shot %33%
61.2
Impact 61.2 = WPA percentile in phase
WPA (this phase)+8.6
59.2
Versatility 59.2 = Σ(pct × share)
Econ vs RHBp81.230%
Econ vs LHBp78.830%
Wkt vs RHBp33.820%
Wkt vs LHBp22.520%
11 · 10.5% of his oversOff-spin222.01115.563.4
Phase Production 63.4 vs all bowlers · n=40
KPIvaluepctshare
True economy0.678× parp61.236.8%
Wicket rate0.50/ovp68.842.1%
Boundary %17%p56.221.1%
53.8
Quality 53.8 = false-shots induced
False-shot %33%
43.8
Impact 43.8 = WPA percentile in phase
WPA (this phase)+0.2
64.8
Versatility 64.8 = Σ(pct × share)
Econ vs RHBp41.230%
Econ vs LHBp81.230%
Wkt vs RHBp51.220%
Wkt vs LHBp88.820%
12 · 70% of his oversLA pace347.02476.7163.3
Phase Production 63.3 vs all bowlers · n=40
KPIvaluepctshare
True economy0.828× parp72.536.8%
Wicket rate0.29/ovp51.242.1%
Boundary %17%p71.221.1%
88.8
Quality 88.8 = false-shots induced
False-shot %40%
66.2
Impact 66.2 = WPA percentile in phase
WPA (this phase)+11.7
56.8
Versatility 56.8 = Σ(pct × share)
Econ vs RHBp71.230%
Econ vs LHBp56.230%
Wkt vs RHBp53.820%
Wkt vs LHBp38.820%
13 · 54.1% of his oversRA pace3420.041427.158.8
Phase Production 58.8 vs all bowlers · n=40
KPIvaluepctshare
True economy0.876× parp88.836.8%
Wicket rate0.20/ovp13.842.1%
Boundary %13%p96.221.1%
76.2
Quality 76.2 = false-shots induced
False-shot %32%
58.8
Impact 58.8 = WPA percentile in phase
WPA (this phase)+5.7
55.8
Versatility 55.8 = Σ(pct × share)
Econ vs RHBp91.230%
Econ vs LHBp36.230%
Wkt vs RHBp6.220%
Wkt vs LHBp81.220%
14 · 90.9% of his oversLA pace10.06838.358.1
Phase Production 58.1 vs all bowlers · n=40
KPIvaluepctshare
True economy1.024× parp41.236.8%
Wicket rate0.60/ovp96.242.1%
Boundary %25%p11.221.1%
98.8
Quality 98.8 = false-shots induced
False-shot %48%
83.8
Impact 83.8 = WPA percentile in phase
WPA (this phase)+24.2
58.1
Versatility 58.1 = Σ(pct × share)
Econ vs RHBp18.830%
Econ vs LHBp8530%
Wkt vs RHBp98.820%
Wkt vs LHBp36.220%
15 · 16% of his oversRA pace312.008457.6
Phase Production 57.6 vs all bowlers · n=40
KPIvaluepctshare
True economy0.493× parp81.236.8%
Wicket rate0.00/ovp26.242.1%
Boundary %8%p78.821.1%
86.2
Quality 86.2 = false-shots induced
False-shot %50%
63.8
Impact 63.8 = WPA percentile in phase
WPA (this phase)+10.2
56.4
Versatility 56.4 = Σ(pct × share)
Econ vs RHBp83.830%
Econ vs LHBp42.530%
Wkt vs RHBp22.520%
Wkt vs LHBp7020%
16 · 44.4% of his oversRA pace324.02348.557.2
Phase Production 57.2 vs all bowlers · n=40
KPIvaluepctshare
True economy1.048× parp33.836.8%
Wicket rate0.50/ovp83.842.1%
Boundary %21%p4521.1%
23.8
Quality 23.8 = false-shots induced
False-shot %21%
26.2
Impact 26.2 = WPA percentile in phase
WPA (this phase)-7.8
50
Versatility 50 = Σ(pct × share)
Econ vs RHBp66.230%
Econ vs LHBp11.230%
Wkt vs RHBp81.220%
Wkt vs LHBp52.520%
17 · 51.4% of his oversRA pace18.051337.3956.9
Phase Production 56.9 vs all bowlers · n=40
KPIvaluepctshare
True economy0.911× parp68.836.8%
Wicket rate0.28/ovp48.842.1%
Boundary %20%p52.521.1%
96.2
Quality 96.2 = false-shots induced
False-shot %41%
93.8
Impact 93.8 = WPA percentile in phase
WPA (this phase)+40
44.5
Versatility 44.5 = Σ(pct × share)
Econ vs RHBp88.830%
Econ vs LHBp18.830%
Wkt vs RHBp48.820%
Wkt vs LHBp12.520%
18 · 60.9% of his oversRA pace3414.051208.5755.2
Phase Production 55.2 vs all bowlers · n=40
KPIvaluepctshare
True economy1.057× parp26.236.8%
Wicket rate0.36/ovp76.242.1%
Boundary %19%p63.821.1%
93.8
Quality 93.8 = false-shots induced
False-shot %40%
36.2
Impact 36.2 = WPA percentile in phase
WPA (this phase)-4.4
46.8
Versatility 46.8 = Σ(pct × share)
Econ vs RHBp31.230%
Econ vs LHBp26.230%
Wkt vs RHBp68.820%
Wkt vs LHBp78.820%
19 · 47.4% of his oversRA pace2118.061488.2254.9
Phase Production 54.9 vs all bowlers · n=40
KPIvaluepctshare
True economy1.014× parp46.236.8%
Wicket rate0.34/ovp63.842.1%
Boundary %20%p52.521.1%
91.2
Quality 91.2 = false-shots induced
False-shot %37%
71.2
Impact 71.2 = WPA percentile in phase
WPA (this phase)+16.2
59.5
Versatility 59.5 = Σ(pct × share)
Econ vs RHBp6.230%
Econ vs LHBp98.830%
Wkt vs RHBp63.820%
Wkt vs LHBp76.220%
20 · 8% of his oversOff-spin242.0116854.3
Phase Production 54.3 vs all bowlers · n=40
KPIvaluepctshare
True economy0.987× parp48.836.8%
Wicket rate0.50/ovp68.842.1%
Boundary %25%p3521.1%
53.8
Quality 53.8 = false-shots induced
False-shot %33%
41.2
Impact 41.2 = WPA percentile in phase
WPA (this phase)-0.3
56
Versatility 56 = Σ(pct × share)
Econ vs RHBp26.230%
Econ vs LHBp76.230%
Wkt vs RHBp28.820%
Wkt vs LHBp97.520%
21 · 18.2% of his oversLeg-spin2.01178.552.4
Phase Production 52.4 vs all bowlers · n=40
KPIvaluepctshare
True economy1.048× parp43.836.8%
Wicket rate0.50/ovp68.842.1%
Boundary %25%p3521.1%
53.8
Quality 53.8 = false-shots induced
False-shot %33%
48.8
Impact 48.8 = WPA percentile in phase
WPA (this phase)+3.2
46.8
Versatility 46.8 = Σ(pct × share)
Econ vs RHBp38.830%
Econ vs LHBp31.230%
Wkt vs RHBp76.220%
Wkt vs LHBp52.520%
22 · 66.7% of his oversRA pace1810.05919.150.5
Phase Production 50.5 vs all bowlers · n=40
KPIvaluepctshare
True economy1.122× parp16.236.8%
Wicket rate0.50/ovp91.242.1%
Boundary %23%p28.821.1%
48.8
Quality 48.8 = false-shots induced
False-shot %30%
8.8
Impact 8.8 = WPA percentile in phase
WPA (this phase)-20.8
52.8
Versatility 52.8 = Σ(pct × share)
Econ vs RHBp16.230%
Econ vs LHBp58.830%
Wkt vs RHBp88.820%
Wkt vs LHBp62.520%
23 · 66.7% of his oversRA pace314.01317.7548.2
Phase Production 48.2 vs all bowlers · n=40
KPIvaluepctshare
True economy0.956× parp53.836.8%
Wicket rate0.25/ovp4542.1%
Boundary %21%p4521.1%
23.8
Quality 23.8 = false-shots induced
False-shot %21%
56.2
Impact 56.2 = WPA percentile in phase
WPA (this phase)+5.2
50.1
Versatility 50.1 = Σ(pct × share)
Econ vs RHBp48.830%
Econ vs LHBp42.530%
Wkt vs RHBp43.820%
Wkt vs LHBp7020%
24 · 71.2% of his oversLA pace2619.061588.3246.2
Phase Production 46.2 vs all bowlers · n=40
KPIvaluepctshare
True economy1.025× parp36.236.8%
Wicket rate0.32/ovp57.542.1%
Boundary %21%p41.221.1%
16.2
Quality 16.2 = false-shots induced
False-shot %23%
68.8
Impact 68.8 = WPA percentile in phase
WPA (this phase)+13.5
48
Versatility 48 = Σ(pct × share)
Econ vs RHBp13.830%
Econ vs LHBp96.230%
Wkt vs RHBp71.220%
Wkt vs LHBp3.820%
25 · 45.5% of his oversLA pace315.035711.446.2
Phase Production 46.2 vs all bowlers · n=40
KPIvaluepctshare
True economy1.406× parp6.236.8%
Wicket rate0.60/ovp88.842.1%
Boundary %23%p31.221.1%
38.8
Quality 38.8 = false-shots induced
False-shot %27%
23.8
Impact 23.8 = WPA percentile in phase
WPA (this phase)-9.9
35
Versatility 35 = Σ(pct × share)
Econ vs RHBp28.830%
Econ vs LHBp8.830%
Wkt vs RHBp96.220%
Wkt vs LHBp22.520%
26 · 20.5% of his oversSLA orthodox278.0264845.5
Phase Production 45.5 vs all bowlers · n=40
KPIvaluepctshare
True economy0.987× parp51.236.8%
Wicket rate0.25/ovp38.842.1%
Boundary %21%p48.821.1%
61.2
Quality 61.2 = false-shots induced
False-shot %31%
38.8
Impact 38.8 = WPA percentile in phase
WPA (this phase)-2.6
40.8
Versatility 40.8 = Σ(pct × share)
Econ vs RHBp43.830%
Econ vs LHBp31.230%
Wkt vs RHBp38.820%
Wkt vs LHBp52.520%
27 · 48.7% of his oversRA pace3019.071668.7444.9
Phase Production 44.9 vs all bowlers · n=40
KPIvaluepctshare
True economy1.077× parp21.236.8%
Wicket rate0.37/ovp78.842.1%
Boundary %24%p18.821.1%
41.2
Quality 41.2 = false-shots induced
False-shot %28%
6.2
Impact 6.2 = WPA percentile in phase
WPA (this phase)-28.1
61.5
Versatility 61.5 = Σ(pct × share)
Econ vs RHBp11.230%
Econ vs LHBp93.830%
Wkt vs RHBp58.820%
Wkt vs LHBp91.220%
28 · 40% of his oversSLA orthodox187.01517.2944.5
Phase Production 44.5 vs all bowlers · n=40
KPIvaluepctshare
True economy0.898× parp58.836.8%
Wicket rate0.14/ovp18.842.1%
Boundary %17%p71.221.1%
28.8
Quality 28.8 = false-shots induced
False-shot %24%
53.8
Impact 53.8 = WPA percentile in phase
WPA (this phase)+5
46.8
Versatility 46.8 = Σ(pct × share)
Econ vs RHBp56.230%
Econ vs LHBp48.830%
Wkt vs RHBp13.820%
Wkt vs LHBp62.520%
29 · 58.4% of his oversRA pace2111.01807.2743.6
Phase Production 43.6 vs all bowlers · n=40
KPIvaluepctshare
True economy0.897× parp66.236.8%
Wicket rate0.09/ovp2.542.1%
Boundary %15%p86.221.1%
66.2
Quality 66.2 = false-shots induced
False-shot %32%
76.2
Impact 76.2 = WPA percentile in phase
WPA (this phase)+20.2
60.6
Versatility 60.6 = Σ(pct × share)
Econ vs RHBp53.830%
Econ vs LHBp8530%
Wkt vs RHBp1.220%
Wkt vs LHBp93.820%
30 · 11.6% of his oversChinaman255.02479.441.4
Phase Production 41.4 vs all bowlers · n=40
KPIvaluepctshare
True economy1.159× parp18.836.8%
Wicket rate0.40/ovp73.842.1%
Boundary %27%p16.221.1%
31.2
Quality 31.2 = false-shots induced
False-shot %23%
33.8
Impact 33.8 = WPA percentile in phase
WPA (this phase)-4.6
41.8
Versatility 41.8 = Σ(pct × share)
Econ vs RHBp23.830%
Econ vs LHBp31.230%
Wkt vs RHBp73.820%
Wkt vs LHBp52.520%
31 · 66.7% of his oversSLA orthodox268.02678.3835.1
Phase Production 35.1 vs all bowlers · n=40
KPIvaluepctshare
True economy1.033× parp38.836.8%
Wicket rate0.25/ovp38.842.1%
Boundary %25%p21.221.1%
11.2
Quality 11.2 = false-shots induced
False-shot %19%
81.2
Impact 81.2 = WPA percentile in phase
WPA (this phase)+22.6
47.5
Versatility 47.5 = Σ(pct × share)
Econ vs RHBp33.830%
Econ vs LHBp61.230%
Wkt vs RHBp36.220%
Wkt vs LHBp58.820%
32 · 36.5% of his oversLeg-spin2711.01867.8234.1
Phase Production 34.1 vs all bowlers · n=40
KPIvaluepctshare
True economy0.964× parp56.236.8%
Wicket rate0.09/ovp2.542.1%
Boundary %20%p58.821.1%
3.8
Quality 3.8 = false-shots induced
False-shot %17%
28.8
Impact 28.8 = WPA percentile in phase
WPA (this phase)-6.4
38.8
Versatility 38.8 = Σ(pct × share)
Econ vs RHBp46.230%
Econ vs LHBp51.230%
Wkt vs RHBp3.820%
Wkt vs LHBp43.820%
33 · 12.9% of his oversRA pace263.00299.6723.8
Phase Production 23.8 vs all bowlers · n=40
KPIvaluepctshare
True economy1.192× parp23.836.8%
Wicket rate0.00/ovp16.242.1%
Boundary %22%p38.821.1%
33.8
Quality 33.8 = false-shots induced
False-shot %22%
31.2
Impact 31.2 = WPA percentile in phase
WPA (this phase)-5.2
32.5
Versatility 32.5 = Σ(pct × share)
Econ vs RHBp51.230%
Econ vs LHBp16.230%
Wkt vs RHBp17.520%
Wkt vs LHBp43.820%
34 · 62.7% of his oversSLA orthodox3514.021178.3619.7
Phase Production 19.7 vs all bowlers · n=40
KPIvaluepctshare
True economy1.031× parp31.236.8%
Wicket rate0.14/ovp6.242.1%
Boundary %24%p26.221.1%
1.2
Quality 1.2 = false-shots induced
False-shot %17%
13.8
Impact 13.8 = WPA percentile in phase
WPA (this phase)-13.1
31.5
Versatility 31.5 = Σ(pct × share)
Econ vs RHBp76.230%
Econ vs LHBp1.230%
Wkt vs RHBp8.820%
Wkt vs LHBp32.520%
35 · 28.6% of his oversOff-spin202.002311.519
Phase Production 19 vs all bowlers · n=40
KPIvaluepctshare
True economy1.418× parp13.836.8%
Wicket rate0.00/ovp26.242.1%
Boundary %33%p13.821.1%
18.8
Quality 18.8 = false-shots induced
False-shot %8%
18.8
Impact 18.8 = WPA percentile in phase
WPA (this phase)-10.8
37.2
Versatility 37.2 = Σ(pct × share)
Econ vs RHBp68.830%
Econ vs LHBp6.230%
Wkt vs RHBp41.220%
Wkt vs LHBp32.520%
36 · 31.8% of his oversLA pace278.028510.6218.5
Phase Production 18.5 vs all bowlers · n=40
KPIvaluepctshare
True economy1.31× parp3.836.8%
Wicket rate0.25/ovp38.842.1%
Boundary %29%p3.821.1%
68.8
Quality 68.8 = false-shots induced
False-shot %33%
16.2
Impact 16.2 = WPA percentile in phase
WPA (this phase)-11.5
25
Versatility 25 = Σ(pct × share)
Econ vs RHBp36.230%
Econ vs LHBp3.830%
Wkt vs RHBp56.220%
Wkt vs LHBp8.820%
37 · 82.5% of his oversRA pace2211.021101017.2
Phase Production 17.2 vs all bowlers · n=40
KPIvaluepctshare
True economy1.233× parp8.836.8%
Wicket rate0.18/ovp21.242.1%
Boundary %24%p23.821.1%
46.2
Quality 46.2 = false-shots induced
False-shot %29%
1.2
Impact 1.2 = WPA percentile in phase
WPA (this phase)-28.9
37.5
Versatility 37.5 = Σ(pct × share)
Econ vs RHBp3.830%
Econ vs LHBp88.830%
Wkt vs RHBp26.220%
Wkt vs LHBp22.520%
38 · 80% of his oversRA pace334.0036916.6
Phase Production 16.6 vs all bowlers · n=40
KPIvaluepctshare
True economy1.11× parp28.836.8%
Wicket rate0.00/ovp1042.1%
Boundary %29%p8.821.1%
63.8
Quality 63.8 = false-shots induced
False-shot %33%
46.2
Impact 46.2 = WPA percentile in phase
WPA (this phase)+1.5
33.5
Versatility 33.5 = Σ(pct × share)
Econ vs RHBp21.230%
Econ vs LHBp63.830%
Wkt vs RHBp17.520%
Wkt vs LHBp22.520%
39 · 40% of his oversRA pace2.00281416.5
Phase Production 16.5 vs all bowlers · n=40
KPIvaluepctshare
True economy1.726× parp11.236.8%
Wicket rate0.00/ovp26.242.1%
Boundary %42%p6.221.1%
8.8
Quality 8.8 = false-shots induced
False-shot %0%
11.2
Impact 11.2 = WPA percentile in phase
WPA (this phase)-13.1
33.9
Versatility 33.9 = Σ(pct × share)
Econ vs RHBp8.830%
Econ vs LHBp42.530%
Wkt vs RHBp22.520%
Wkt vs LHBp7020%
40 · 44.4% of his oversLA pace204.006315.754.9
Phase Production 4.9 vs all bowlers · n=40
KPIvaluepctshare
True economy1.942× parp1.236.8%
Wicket rate0.00/ovp1042.1%
Boundary %50%p1.221.1%
71.2
Quality 71.2 = false-shots induced
False-shot %38%
3.8
Impact 3.8 = WPA percentile in phase
WPA (this phase)-28.6
29.4
Versatility 29.4 = Σ(pct × share)
Econ vs RHBp1.230%
Econ vs LHBp42.530%
Wkt vs RHBp11.220%
Wkt vs LHBp7020%
#BowlerTypeAgeOversWktsRunsEconProdQualImpactVers
1 · 72% of his oversOff-spin2418.08975.3989.5
Phase Production 89.5 vs all bowlers · n=53
KPIvaluepctshare
True economy0.69× parp97.244.1%
Wicket rate0.44/ovp80.244.1%
Boundary %8%p95.311.8%
85.8
Quality 85.8 = false-shots induced
False-shot %32%
95.3
Impact 95.3 = WPA percentile in phase
WPA (this phase)+55.1
93.4
Versatility 93.4 = Σ(pct × share)
Econ vs RHBp87.750%
Econ vs LHBp99.150%
2 · 56.8% of his oversLeg-spin299.05535.8989.4
Phase Production 89.4 vs all bowlers · n=53
KPIvaluepctshare
True economy0.754× parp91.544.1%
Wicket rate0.56/ovp87.744.1%
Boundary %11%p87.711.8%
70.8
Quality 70.8 = false-shots induced
False-shot %32%
87.7
Impact 87.7 = WPA percentile in phase
WPA (this phase)+42.5
79.2
Versatility 79.2 = Σ(pct × share)
Econ vs RHBp89.650%
Econ vs LHBp68.950%
3 · 67.4% of his oversLeg-spin29.0121735.9788
Phase Production 88 vs all bowlers · n=53
KPIvaluepctshare
True economy0.764× parp95.344.1%
Wicket rate0.41/ovp78.344.1%
Boundary %8%p97.211.8%
95.3
Quality 95.3 = false-shots induced
False-shot %38%
99.1
Impact 99.1 = WPA percentile in phase
WPA (this phase)+76.7
92.5
Versatility 92.5 = Σ(pct × share)
Econ vs RHBp97.250%
Econ vs LHBp87.750%
4 · 60% of his oversRA pace3.02134.3384.6
Phase Production 84.6 vs all bowlers · n=53
KPIvaluepctshare
True economy0.555× parp85.844.1%
Wicket rate0.67/ovp8444.1%
Boundary %6%p82.111.8%
36.8
Quality 36.8 = false-shots induced
False-shot %17%
74.5
Impact 74.5 = WPA percentile in phase
WPA (this phase)+18.9
69.8
Versatility 69.8 = Σ(pct × share)
Econ vs RHBp55.750%
Econ vs LHBp8450%
5 · 60.2% of his oversLeg-spin2718.171287.0579
Phase Production 79 vs all bowlers · n=53
KPIvaluepctshare
True economy0.902× parp8444.1%
Wicket rate0.38/ovp72.644.1%
Boundary %13%p8411.8%
42.5
Quality 42.5 = false-shots induced
False-shot %24%
97.2
Impact 97.2 = WPA percentile in phase
WPA (this phase)+71.8
69.8
Versatility 69.8 = Σ(pct × share)
Econ vs RHBp8450%
Econ vs LHBp55.750%
6 · 100% of his oversLeg-spin217.06527.4378
Phase Production 78 vs all bowlers · n=53
KPIvaluepctshare
True economy0.951× parp68.944.1%
Wicket rate0.86/ovp99.144.1%
Boundary %19%p3311.8%
89.6
Quality 89.6 = false-shots induced
False-shot %38%
53.8
Impact 53.8 = WPA percentile in phase
WPA (this phase)+5.1
52.8
Versatility 52.8 = Σ(pct × share)
Econ vs RHBp80.250%
Econ vs LHBp25.550%
7 · 81.8% of his oversLeg-spin9.04616.7877.6
Phase Production 77.6 vs all bowlers · n=53
KPIvaluepctshare
True economy0.868× parp80.244.1%
Wicket rate0.44/ovp76.444.1%
Boundary %13%p72.611.8%
57.5
Quality 57.5 = false-shots induced
False-shot %28%
76.4
Impact 76.4 = WPA percentile in phase
WPA (this phase)+19.3
74.5
Versatility 74.5 = Σ(pct × share)
Econ vs RHBp68.950%
Econ vs LHBp80.250%
8 · 81.4% of his oversChinaman2535.0122517.1776.3
Phase Production 76.3 vs all bowlers · n=53
KPIvaluepctshare
True economy0.918× parp89.644.1%
Wicket rate0.34/ovp59.444.1%
Boundary %13%p89.611.8%
72.6
Quality 72.6 = false-shots induced
False-shot %30%
91.5
Impact 91.5 = WPA percentile in phase
WPA (this phase)+49.5
73.6
Versatility 73.6 = Σ(pct × share)
Econ vs RHBp93.450%
Econ vs LHBp53.850%
9 · 64.9% of his oversSLA orthodox2124.091817.5474.2
Phase Production 74.2 vs all bowlers · n=53
KPIvaluepctshare
True economy0.966× parp76.444.1%
Wicket rate0.37/ovp68.944.1%
Boundary %13%p85.811.8%
0.9
Quality 0.9 = false-shots induced
False-shot %18%
72.6
Impact 72.6 = WPA percentile in phase
WPA (this phase)+17.6
51.9
Versatility 51.9 = Σ(pct × share)
Econ vs RHBp95.350%
Econ vs LHBp8.550%
10 · 35% of his oversSLA orthodox197.03517.2971.3
Phase Production 71.3 vs all bowlers · n=53
KPIvaluepctshare
True economy0.933× parp70.844.1%
Wicket rate0.43/ovp74.544.1%
Boundary %14%p61.311.8%
46.2
Quality 46.2 = false-shots induced
False-shot %24%
57.5
Impact 57.5 = WPA percentile in phase
WPA (this phase)+6
59.4
Versatility 59.4 = Σ(pct × share)
Econ vs RHBp59.450%
Econ vs LHBp59.450%
11 · 59% of his oversSLA orthodox2723.071165.0470.8
Phase Production 70.8 vs all bowlers · n=53
KPIvaluepctshare
True economy0.646× parp99.144.1%
Wicket rate0.31/ovp34.944.1%
Boundary %7%p99.111.8%
74.5
Quality 74.5 = false-shots induced
False-shot %30%
93.4
Impact 93.4 = WPA percentile in phase
WPA (this phase)+54.6
97.2
Versatility 97.2 = Σ(pct × share)
Econ vs RHBp99.150%
Econ vs LHBp95.350%
12 · 17.1% of his oversRA pace6.02355.8369.8
Phase Production 69.8 vs all bowlers · n=53
KPIvaluepctshare
True economy0.747× parp87.744.1%
Wicket rate0.34/ovp5044.1%
Boundary %11%p76.411.8%
99.1
Quality 99.1 = false-shots induced
False-shot %61%
63.2
Impact 63.2 = WPA percentile in phase
WPA (this phase)+10
67.9
Versatility 67.9 = Σ(pct × share)
Econ vs RHBp85.850%
Econ vs LHBp5050%
13 · 35% of his oversRA pace236.05498.1769.3
Phase Production 69.3 vs all bowlers · n=53
KPIvaluepctshare
True economy1.046× parp51.944.1%
Wicket rate0.83/ovp97.244.1%
Boundary %19%p30.211.8%
63.2
Quality 63.2 = false-shots induced
False-shot %31%
89.6
Impact 89.6 = WPA percentile in phase
WPA (this phase)+44.7
54.2
Versatility 54.2 = Σ(pct × share)
Econ vs RHBp46.250%
Econ vs LHBp62.350%
14 · 71.4% of his oversLeg-spin5.02346.867.2
Phase Production 67.2 vs all bowlers · n=53
KPIvaluepctshare
True economy0.871× parp72.644.1%
Wicket rate0.40/ovp62.344.1%
Boundary %13%p65.111.8%
97.2
Quality 97.2 = false-shots induced
False-shot %57%
68.9
Impact 68.9 = WPA percentile in phase
WPA (this phase)+12
62.3
Versatility 62.3 = Σ(pct × share)
Econ vs RHBp3350%
Econ vs LHBp91.550%
15 · 33.3% of his oversSLA orthodox264.03358.7564.9
Phase Production 64.9 vs all bowlers · n=53
KPIvaluepctshare
True economy1.12× parp38.744.1%
Wicket rate0.75/ovp90.644.1%
Boundary %12%p6711.8%
66
Quality 66 = false-shots induced
False-shot %33%
16
Impact 16 = WPA percentile in phase
WPA (this phase)-18.3
49.5
Versatility 49.5 = Σ(pct × share)
Econ vs RHBp27.450%
Econ vs LHBp71.750%
16 · 62.9% of his oversOff-spin2818.461387.3964
Phase Production 64 vs all bowlers · n=53
KPIvaluepctshare
True economy0.947× parp78.344.1%
Wicket rate0.32/ovp42.544.1%
Boundary %12%p91.511.8%
23.6
Quality 23.6 = false-shots induced
False-shot %20%
84
Impact 84 = WPA percentile in phase
WPA (this phase)+32.1
61.3
Versatility 61.3 = Σ(pct × share)
Econ vs RHBp74.550%
Econ vs LHBp48.150%
17 · 20.5% of his oversRA pace308.04668.2564
Phase Production 64 vs all bowlers · n=53
KPIvaluepctshare
True economy1.056× parp5044.1%
Wicket rate0.50/ovp82.144.1%
Boundary %17%p49.111.8%
53.8
Quality 53.8 = false-shots induced
False-shot %27%
78.3
Impact 78.3 = WPA percentile in phase
WPA (this phase)+19.7
44.3
Versatility 44.3 = Σ(pct × share)
Econ vs RHBp78.350%
Econ vs LHBp10.450%
18 · 87.2% of his oversChinaman1734.0112507.3562.4
Phase Production 62.4 vs all bowlers · n=53
KPIvaluepctshare
True economy0.942× parp82.144.1%
Wicket rate0.32/ovp40.644.1%
Boundary %15%p70.811.8%
76.4
Quality 76.4 = false-shots induced
False-shot %30%
0.9
Impact 0.9 = WPA percentile in phase
WPA (this phase)-52.4
80.2
Versatility 80.2 = Σ(pct × share)
Econ vs RHBp70.850%
Econ vs LHBp89.650%
19 · 10.2% of his oversLA pace294.0336959.7
Phase Production 59.7 vs all bowlers · n=53
KPIvaluepctshare
True economy1.152× parp3344.1%
Wicket rate0.75/ovp90.644.1%
Boundary %17%p44.311.8%
59.4
Quality 59.4 = false-shots induced
False-shot %29%
38.7
Impact 38.7 = WPA percentile in phase
WPA (this phase)-0.4
41.5
Versatility 41.5 = Σ(pct × share)
Econ vs RHBp63.250%
Econ vs LHBp19.850%
20 · 5.4% of his oversRA pace342.0114759.5
Phase Production 59.5 vs all bowlers · n=53
KPIvaluepctshare
True economy0.896× parp59.444.1%
Wicket rate0.50/ovp65.144.1%
Boundary %17%p38.711.8%
68.9
Quality 68.9 = false-shots induced
False-shot %42%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+1.3
55.7
Versatility 55.7 = Σ(pct × share)
Econ vs RHBp39.650%
Econ vs LHBp71.750%
21 · 13.6% of his oversRA pace224.01266.559
Phase Production 59 vs all bowlers · n=53
KPIvaluepctshare
True economy0.832× parp74.544.1%
Wicket rate0.25/ovp37.744.1%
Boundary %8%p80.211.8%
66
Quality 66 = false-shots induced
False-shot %33%
65.1
Impact 65.1 = WPA percentile in phase
WPA (this phase)+10.8
64.2
Versatility 64.2 = Σ(pct × share)
Econ vs RHBp61.350%
Econ vs LHBp6750%
22 · 26.3% of his oversRA pace2110.04818.159
Phase Production 59 vs all bowlers · n=53
KPIvaluepctshare
True economy1.037× parp53.844.1%
Wicket rate0.40/ovp70.844.1%
Boundary %18%p34.911.8%
87.7
Quality 87.7 = false-shots induced
False-shot %35%
55.7
Impact 55.7 = WPA percentile in phase
WPA (this phase)+5.5
45.3
Versatility 45.3 = Σ(pct × share)
Econ vs RHBp76.450%
Econ vs LHBp14.250%
23 · 7.9% of his oversRA pace243.0121758.2
Phase Production 58.2 vs all bowlers · n=53
KPIvaluepctshare
True economy0.896× parp65.144.1%
Wicket rate0.34/ovp55.744.1%
Boundary %17%p41.511.8%
81.1
Quality 81.1 = false-shots induced
False-shot %44%
67
Impact 67 = WPA percentile in phase
WPA (this phase)+11.2
53.8
Versatility 53.8 = Σ(pct × share)
Econ vs RHBp21.750%
Econ vs LHBp85.850%
24 · 92.3% of his oversLeg-spin2936.062486.8955.1
Phase Production 55.1 vs all bowlers · n=53
KPIvaluepctshare
True economy0.882× parp93.444.1%
Wicket rate0.17/ovp6.644.1%
Boundary %12%p93.411.8%
6.6
Quality 6.6 = false-shots induced
False-shot %21%
80.2
Impact 80.2 = WPA percentile in phase
WPA (this phase)+21
75.5
Versatility 75.5 = Σ(pct × share)
Econ vs RHBp53.850%
Econ vs LHBp97.250%
25 · 32.1% of his oversSLA orthodox357.14669.2154.2
Phase Production 54.2 vs all bowlers · n=53
KPIvaluepctshare
True economy1.179× parp21.744.1%
Wicket rate0.56/ovp85.844.1%
Boundary %16%p57.511.8%
55.7
Quality 55.7 = false-shots induced
False-shot %28%
82.1
Impact 82.1 = WPA percentile in phase
WPA (this phase)+23
35.8
Versatility 35.8 = Σ(pct × share)
Econ vs RHBp14.250%
Econ vs LHBp57.550%
26 · 78.9% of his oversOff-spin2215.051187.8753.2
Phase Production 53.2 vs all bowlers · n=53
KPIvaluepctshare
True economy1.007× parp61.344.1%
Wicket rate0.34/ovp44.344.1%
Boundary %17%p55.711.8%
51.9
Quality 51.9 = false-shots induced
False-shot %27%
85.8
Impact 85.8 = WPA percentile in phase
WPA (this phase)+35.1
48.1
Versatility 48.1 = Σ(pct × share)
Econ vs RHBp72.650%
Econ vs LHBp23.650%
27 · 52.6% of his oversRA pace2910.06919.151.2
Phase Production 51.2 vs all bowlers · n=53
KPIvaluepctshare
True economy1.165× parp19.844.1%
Wicket rate0.60/ovp93.444.1%
Boundary %22%p10.411.8%
93.4
Quality 93.4 = false-shots induced
False-shot %37%
6.6
Impact 6.6 = WPA percentile in phase
WPA (this phase)-32.6
42.5
Versatility 42.5 = Σ(pct × share)
Econ vs RHBp2.850%
Econ vs LHBp82.150%
28 · 88.9% of his oversOff-spin288.02607.550.4
Phase Production 50.4 vs all bowlers · n=53
KPIvaluepctshare
True economy0.96× parp6744.1%
Wicket rate0.25/ovp27.444.1%
Boundary %12%p74.511.8%
27.4
Quality 27.4 = false-shots induced
False-shot %19%
59.4
Impact 59.4 = WPA percentile in phase
WPA (this phase)+7
50.9
Versatility 50.9 = Σ(pct × share)
Econ vs RHBp5050%
Econ vs LHBp51.950%
29 · 67.8% of his oversLeg-spin3413.051138.6948.7
Phase Production 48.7 vs all bowlers · n=53
KPIvaluepctshare
True economy1.113× parp29.244.1%
Wicket rate0.38/ovp6744.1%
Boundary %17%p52.811.8%
40.6
Quality 40.6 = false-shots induced
False-shot %23%
61.3
Impact 61.3 = WPA percentile in phase
WPA (this phase)+8.1
35.8
Versatility 35.8 = Σ(pct × share)
Econ vs RHBp44.350%
Econ vs LHBp27.450%
30 · 83.3% of his oversRA pace5.02438.648.5
Phase Production 48.5 vs all bowlers · n=53
KPIvaluepctshare
True economy1.101× parp40.644.1%
Wicket rate0.40/ovp62.344.1%
Boundary %20%p26.411.8%
17
Quality 17 = false-shots induced
False-shot %13%
42.5
Impact 42.5 = WPA percentile in phase
WPA (this phase)-0.1
42.5
Versatility 42.5 = Σ(pct × share)
Econ vs RHBp42.550%
Econ vs LHBp42.550%
31 · 41.9% of his oversSLA orthodox187.258111.0545.1
Phase Production 45.1 vs all bowlers · n=53
KPIvaluepctshare
True economy1.414× parp4.744.1%
Wicket rate0.68/ovp95.344.1%
Boundary %23%p8.511.8%
61.3
Quality 61.3 = false-shots induced
False-shot %30%
70.8
Impact 70.8 = WPA percentile in phase
WPA (this phase)+13.8
38.7
Versatility 38.7 = Σ(pct × share)
Econ vs RHBp0.950%
Econ vs LHBp76.450%
32 · 22.2% of his oversLA pace202.00136.545.1
Phase Production 45.1 vs all bowlers · n=53
KPIvaluepctshare
True economy0.832× parp63.244.1%
Wicket rate0.00/ovp20.844.1%
Boundary %8%p68.911.8%
48.1
Quality 48.1 = false-shots induced
False-shot %25%
51.9
Impact 51.9 = WPA percentile in phase
WPA (this phase)+3
56.6
Versatility 56.6 = Σ(pct × share)
Econ vs RHBp6750%
Econ vs LHBp46.250%
33 · 15.9% of his oversRA pace213.0127942.6
Phase Production 42.6 vs all bowlers · n=53
KPIvaluepctshare
True economy1.152× parp34.944.1%
Wicket rate0.34/ovp55.744.1%
Boundary %22%p22.611.8%
81.1
Quality 81.1 = false-shots induced
False-shot %44%
44.3
Impact 44.3 = WPA percentile in phase
WPA (this phase)+0
42.5
Versatility 42.5 = Σ(pct × share)
Econ vs RHBp48.150%
Econ vs LHBp36.850%
34 · 87.5% of his oversRA pace3114.041178.3642
Phase Production 42 vs all bowlers · n=53
KPIvaluepctshare
True economy1.07× parp46.244.1%
Wicket rate0.29/ovp3344.1%
Boundary %16%p59.411.8%
34.9
Quality 34.9 = false-shots induced
False-shot %23%
23.6
Impact 23.6 = WPA percentile in phase
WPA (this phase)-9.9
44.3
Versatility 44.3 = Σ(pct × share)
Econ vs RHBp57.550%
Econ vs LHBp31.150%
35 · 73.3% of his oversOff-spin3011.03918.2739.3
Phase Production 39.3 vs all bowlers · n=53
KPIvaluepctshare
True economy1.059× parp48.144.1%
Wicket rate0.27/ovp31.144.1%
Boundary %18%p36.811.8%
12.3
Quality 12.3 = false-shots induced
False-shot %18%
46.2
Impact 46.2 = WPA percentile in phase
WPA (this phase)+0.5
45.3
Versatility 45.3 = Σ(pct × share)
Econ vs RHBp25.550%
Econ vs LHBp65.150%
36 · 42.9% of his oversOff-spin203.01301037.6
Phase Production 37.6 vs all bowlers · n=53
KPIvaluepctshare
True economy1.28× parp23.644.1%
Wicket rate0.34/ovp55.744.1%
Boundary %22%p22.611.8%
29.2
Quality 29.2 = false-shots induced
False-shot %11%
40.6
Impact 40.6 = WPA percentile in phase
WPA (this phase)-0.2
45.3
Versatility 45.3 = Σ(pct × share)
Econ vs RHBp12.350%
Econ vs LHBp78.350%
37 · 85.7% of his oversSLA orthodox326.02559.1736.8
Phase Production 36.8 vs all bowlers · n=53
KPIvaluepctshare
True economy1.174× parp25.544.1%
Wicket rate0.34/ovp5044.1%
Boundary %19%p30.211.8%
44.3
Quality 44.3 = false-shots induced
False-shot %22%
14.2
Impact 14.2 = WPA percentile in phase
WPA (this phase)-19.4
42.5
Versatility 42.5 = Σ(pct × share)
Econ vs RHBp82.150%
Econ vs LHBp2.850%
38 · 86.2% of his oversChinaman1925.032028.0835
Phase Production 35 vs all bowlers · n=53
KPIvaluepctshare
True economy1.035× parp57.544.1%
Wicket rate0.12/ovp0.944.1%
Boundary %14%p78.311.8%
4.7
Quality 4.7 = false-shots induced
False-shot %20%
10.4
Impact 10.4 = WPA percentile in phase
WPA (this phase)-31.9
49.1
Versatility 49.1 = Σ(pct × share)
Econ vs RHBp23.650%
Econ vs LHBp74.550%
39 · 41.9% of his oversSLA orthodox2113.021058.0834.5
Phase Production 34.5 vs all bowlers · n=53
KPIvaluepctshare
True economy1.034× parp55.744.1%
Wicket rate0.16/ovp8.544.1%
Boundary %17%p52.811.8%
25.5
Quality 25.5 = false-shots induced
False-shot %20%
36.8
Impact 36.8 = WPA percentile in phase
WPA (this phase)-2
49.1
Versatility 49.1 = Σ(pct × share)
Econ vs RHBp91.550%
Econ vs LHBp6.650%
40 · 66.7% of his oversOff-spin226.01518.531.7
Phase Production 31.7 vs all bowlers · n=53
KPIvaluepctshare
True economy1.088× parp44.344.1%
Wicket rate0.17/ovp15.144.1%
Boundary %17%p46.211.8%
33
Quality 33 = false-shots induced
False-shot %19%
19.8
Impact 19.8 = WPA percentile in phase
WPA (this phase)-13.2
35.8
Versatility 35.8 = Σ(pct × share)
Econ vs RHBp31.150%
Econ vs LHBp40.650%
41 · 94.7% of his oversSLA orthodox236.01528.6730.3
Phase Production 30.3 vs all bowlers · n=53
KPIvaluepctshare
True economy1.11× parp36.844.1%
Wicket rate0.17/ovp15.144.1%
Boundary %14%p63.211.8%
8.5
Quality 8.5 = false-shots induced
False-shot %14%
29.2
Impact 29.2 = WPA percentile in phase
WPA (this phase)-8.9
40.6
Versatility 40.6 = Σ(pct × share)
Econ vs RHBp51.950%
Econ vs LHBp29.250%
42 · 25.9% of his oversRA pace266.026210.3327.5
Phase Production 27.5 vs all bowlers · n=53
KPIvaluepctshare
True economy1.323× parp8.544.1%
Wicket rate0.34/ovp5044.1%
Boundary %22%p14.211.8%
78.3
Quality 78.3 = false-shots induced
False-shot %36%
12.3
Impact 12.3 = WPA percentile in phase
WPA (this phase)-19.9
22.6
Versatility 22.6 = Σ(pct × share)
Econ vs RHBp29.250%
Econ vs LHBp1650%
43 · 100% of his oversOff-spin208.00688.526.2
Phase Production 26.2 vs all bowlers · n=53
KPIvaluepctshare
True economy1.088× parp42.544.1%
Wicket rate0.00/ovp3.844.1%
Boundary %17%p49.111.8%
14.2
Quality 14.2 = false-shots induced
False-shot %17%
48.1
Impact 48.1 = WPA percentile in phase
WPA (this phase)+1.2
49.1
Versatility 49.1 = Σ(pct × share)
Econ vs RHBp4.750%
Econ vs LHBp93.450%
44 · 27.3% of his oversLA pace313.00289.3324
Phase Production 24 vs all bowlers · n=53
KPIvaluepctshare
True economy1.195× parp31.144.1%
Wicket rate0.00/ovp12.344.1%
Boundary %17%p41.511.8%
10.4
Quality 10.4 = false-shots induced
False-shot %6%
34.9
Impact 34.9 = WPA percentile in phase
WPA (this phase)-5.5
37.3
Versatility 37.3 = Σ(pct × share)
Econ vs RHBp39.650%
Econ vs LHBp34.950%
45 · 22.2% of his oversRA pace322.00201022
Phase Production 22 vs all bowlers · n=53
KPIvaluepctshare
True economy1.28× parp27.444.1%
Wicket rate0.00/ovp20.844.1%
Boundary %33%p6.611.8%
91.5
Quality 91.5 = false-shots induced
False-shot %58%
27.4
Impact 27.4 = WPA percentile in phase
WPA (this phase)-8.9
39.2
Versatility 39.2 = Σ(pct × share)
Econ vs RHBp1650%
Econ vs LHBp62.350%
46 · 100% of his oversOff-spin235.01489.621.4
Phase Production 21.4 vs all bowlers · n=53
KPIvaluepctshare
True economy1.229× parp1644.1%
Wicket rate0.20/ovp25.544.1%
Boundary %20%p26.411.8%
17
Quality 17 = false-shots induced
False-shot %13%
21.7
Impact 21.7 = WPA percentile in phase
WPA (this phase)-12.9
25.5
Versatility 25.5 = Σ(pct × share)
Econ vs RHBp17.950%
Econ vs LHBp3350%
47 · 72% of his oversRA pace319.0310711.8921.1
Phase Production 21.1 vs all bowlers · n=53
KPIvaluepctshare
True economy1.522× parp0.944.1%
Wicket rate0.34/ovp46.244.1%
Boundary %26%p2.811.8%
38.7
Quality 38.7 = false-shots induced
False-shot %22%
2.8
Impact 2.8 = WPA percentile in phase
WPA (this phase)-40.8
5.7
Versatility 5.7 = Σ(pct × share)
Econ vs RHBp6.650%
Econ vs LHBp4.750%
48 · 100% of his oversLeg-spin214.01481220.1
Phase Production 20.1 vs all bowlers · n=53
KPIvaluepctshare
True economy1.537× parp6.644.1%
Wicket rate0.25/ovp37.744.1%
Boundary %29%p4.711.8%
31.1
Quality 31.1 = false-shots induced
False-shot %17%
25.5
Impact 25.5 = WPA percentile in phase
WPA (this phase)-9.5
26.4
Versatility 26.4 = Σ(pct × share)
Econ vs RHBp8.550%
Econ vs LHBp44.350%
49 · 33.3% of his oversRA pace312.00221119.3
Phase Production 19.3 vs all bowlers · n=53
KPIvaluepctshare
True economy1.409× parp17.944.1%
Wicket rate0.00/ovp20.844.1%
Boundary %25%p18.911.8%
20.8
Quality 20.8 = false-shots induced
False-shot %0%
33
Impact 33 = WPA percentile in phase
WPA (this phase)-8
38.7
Versatility 38.7 = Σ(pct × share)
Econ vs RHBp65.150%
Econ vs LHBp12.350%
50 · 7.5% of his oversLA pace262.00241216.8
Phase Production 16.8 vs all bowlers · n=53
KPIvaluepctshare
True economy1.537× parp12.344.1%
Wicket rate0.00/ovp20.844.1%
Boundary %25%p18.911.8%
20.8
Quality 20.8 = false-shots induced
False-shot %0%
31.1
Impact 31.1 = WPA percentile in phase
WPA (this phase)-8.1
29.2
Versatility 29.2 = Σ(pct × share)
Econ vs RHBp19.850%
Econ vs LHBp38.750%
51 · 82.9% of his oversRA pace1921.0622010.4814.3
Phase Production 14.3 vs all bowlers · n=53
KPIvaluepctshare
True economy1.341× parp2.844.1%
Wicket rate0.29/ovp29.244.1%
Boundary %24%p0.911.8%
50
Quality 50 = false-shots induced
False-shot %26%
8.5
Impact 8.5 = WPA percentile in phase
WPA (this phase)-32.4
5.7
Versatility 5.7 = Σ(pct × share)
Econ vs RHBp10.450%
Econ vs LHBp0.950%
52 · 100% of his oversRA pace254.004110.2512.3
Phase Production 12.3 vs all bowlers · n=53
KPIvaluepctshare
True economy1.312× parp14.244.1%
Wicket rate0.00/ovp10.444.1%
Boundary %25%p12.311.8%
2.8
Quality 2.8 = false-shots induced
False-shot %4%
17.9
Impact 17.9 = WPA percentile in phase
WPA (this phase)-17.1
29.2
Versatility 29.2 = Σ(pct × share)
Econ vs RHBp36.850%
Econ vs LHBp21.750%
53 · 31.8% of his oversLA pace278.00789.758.1
Phase Production 8.1 vs all bowlers · n=53
KPIvaluepctshare
True economy1.248× parp10.444.1%
Wicket rate0.00/ovp3.844.1%
Boundary %21%p1611.8%
84
Quality 84 = false-shots induced
False-shot %35%
4.7
Impact 4.7 = WPA percentile in phase
WPA (this phase)-35.4
26.4
Versatility 26.4 = Σ(pct × share)
Econ vs RHBp34.950%
Econ vs LHBp17.950%
#BowlerTypeAgeOversWktsRunsEconProdQualImpactVers
1 · 20.5% of his oversSLA orthodox278.0656791.8
Phase Production 91.8 vs all bowlers · n=41
KPIvaluepctshare
True economy0.702× parp91.543.6%
Boundary %12%p91.541.8%
Wicket rate0.75/ovp93.914.5%
79.3
Impact 79.3 = WPA percentile in phase
WPA (this phase)+19.4
78.1
Versatility 78.1 = Σ(pct × share)
Matchup advantagep78.1100%
2 · 32.2% of his oversLeg-spin346.14436.9790.3
Phase Production 90.3 vs all bowlers · n=41
KPIvaluepctshare
True economy0.7× parp86.643.6%
Boundary %8%p98.841.8%
Wicket rate0.65/ovp76.814.5%
45.1
Impact 45.1 = WPA percentile in phase
WPA (this phase)-0.1
78.1
Versatility 78.1 = Σ(pct × share)
Matchup advantagep78.1100%
3 · 12.8% of his oversChinaman175.02265.288.9
Phase Production 88.9 vs all bowlers · n=41
KPIvaluepctshare
True economy0.522× parp98.843.6%
Boundary %7%p95.141.8%
Wicket rate0.40/ovp41.514.5%
89
Impact 89 = WPA percentile in phase
WPA (this phase)+39
75
Versatility 75 = Σ(pct × share)
Matchup advantagep75100%
4 · 20% of his oversOff-spin303.02134.3388.3
Phase Production 88.3 vs all bowlers · n=41
KPIvaluepctshare
True economy0.435× parp93.943.6%
Boundary %6%p8941.8%
Wicket rate0.67/ovp69.514.5%
81.7
Impact 81.7 = WPA percentile in phase
WPA (this phase)+26.7
81.2
Versatility 81.2 = Σ(pct × share)
Matchup advantagep81.2100%
5 · 11.6% of his oversLeg-spin5.0230687.8
Phase Production 87.8 vs all bowlers · n=41
KPIvaluepctshare
True economy0.602× parp96.343.6%
Boundary %7%p95.141.8%
Wicket rate0.40/ovp41.514.5%
64.6
Impact 64.6 = WPA percentile in phase
WPA (this phase)+5.2
65.6
Versatility 65.6 = Σ(pct × share)
Matchup advantagep65.6100%
6 · 5.1% of his oversLeg-spin292.01115.579.5
Phase Production 79.5 vs all bowlers · n=41
KPIvaluepctshare
True economy0.552× parp79.343.6%
Boundary %0%p86.641.8%
Wicket rate0.50/ovp59.814.5%
76.8
Impact 76.8 = WPA percentile in phase
WPA (this phase)+9.9
50
Versatility 50 = Σ(pct × share)
Matchup advantage *p50100%
7 · 38.7% of his oversLA pace2915.1101197.8578
Phase Production 78 vs all bowlers · n=41
KPIvaluepctshare
True economy0.787× parp8950%
Wicket rate0.66/ovp96.316.7%
Boundary %20%p52.433.3%
86.6
Impact 86.6 = WPA percentile in phase
WPA (this phase)+31
55.1
Versatility 55.1 = Σ(pct × share)
Yorker ratep71.740%
Slower ballp47.833.3%
Slow bouncerp39.126.7%
8 · 18.1% of his oversSLA orthodox183.13268.2173
Phase Production 73 vs all bowlers · n=41
KPIvaluepctshare
True economy0.824× parp69.543.6%
Boundary %16%p7241.8%
Wicket rate0.95/ovp86.614.5%
98.8
Impact 98.8 = WPA percentile in phase
WPA (this phase)+86
53.1
Versatility 53.1 = Σ(pct × share)
Matchup advantagep53.1100%
9 · 39.1% of his oversRA pace349.02697.6771.5
Phase Production 71.5 vs all bowlers · n=41
KPIvaluepctshare
True economy0.769× parp84.150%
Wicket rate0.22/ovp8.516.7%
Boundary %15%p84.133.3%
62.2
Impact 62.2 = WPA percentile in phase
WPA (this phase)+3.8
70.1
Versatility 70.1 = Σ(pct × share)
Yorker ratep76.140%
Slower ballp47.833.3%
Slow bouncerp89.126.7%
10 · 15% of his oversSLA orthodox193.00206.6771.1
Phase Production 71.1 vs all bowlers · n=41
KPIvaluepctshare
True economy0.669× parp81.743.6%
Boundary %11%p79.341.8%
Wicket rate0.00/ovp15.914.5%
69.5
Impact 69.5 = WPA percentile in phase
WPA (this phase)+6.7
57.8
Versatility 57.8 = Σ(pct × share)
Matchup advantagep57.8100%
11 · 23.6% of his oversOff-spin287.03608.5770.8
Phase Production 70.8 vs all bowlers · n=41
KPIvaluepctshare
True economy0.86× parp74.443.6%
Boundary %17%p74.441.8%
Wicket rate0.43/ovp5014.5%
72
Impact 72 = WPA percentile in phase
WPA (this phase)+7.2
29.7
Versatility 29.7 = Σ(pct × share)
Matchup advantagep29.7100%
12 · 22.2% of his oversOff-spin222.00136.569.7
Phase Production 69.7 vs all bowlers · n=41
KPIvaluepctshare
True economy0.652× parp76.843.6%
Boundary %8%p76.841.8%
Wicket rate0.00/ovp2814.5%
74.4
Impact 74.4 = WPA percentile in phase
WPA (this phase)+8.4
42.2
Versatility 42.2 = Σ(pct × share)
Matchup advantagep42.2100%
13 · 20% of his oversLA pace342.0216867.7
Phase Production 67.7 vs all bowlers · n=41
KPIvaluepctshare
True economy0.803× parp67.150%
Wicket rate1.00/ovp80.516.7%
Boundary %17%p62.233.3%
67.1
Impact 67.1 = WPA percentile in phase
WPA (this phase)+6.2
48.1
Versatility 48.1 = Σ(pct × share)
Yorker ratep54.340%
Slower ballp47.833.3%
Slow bouncerp39.126.7%
14 · 10.5% of his oversOff-spin222.01157.566.1
Phase Production 66.1 vs all bowlers · n=41
KPIvaluepctshare
True economy0.753× parp7243.6%
Boundary %17%p62.241.8%
Wicket rate0.50/ovp59.814.5%
18.3
Impact 18.3 = WPA percentile in phase
WPA (this phase)-18.5
65.6
Versatility 65.6 = Σ(pct × share)
Matchup advantagep65.6100%
15 · 17.1% of his oversRA pace194.2139963.4
Phase Production 63.4 vs all bowlers · n=41
KPIvaluepctshare
True economy0.903× parp62.250%
Wicket rate0.23/ovp30.516.7%
Boundary %12%p81.733.3%
96.3
Impact 96.3 = WPA percentile in phase
WPA (this phase)+78.2
58.6
Versatility 58.6 = Σ(pct × share)
Yorker ratep80.440%
Slower ballp47.833.3%
Slow bouncerp39.126.7%
16 · 12.5% of his oversRA pace312.02199.562.8
Phase Production 62.8 vs all bowlers · n=41
KPIvaluepctshare
True economy0.953× parp57.350%
Wicket rate1.00/ovp80.516.7%
Boundary %17%p62.233.3%
54.9
Impact 54.9 = WPA percentile in phase
WPA (this phase)+2.7
29
Versatility 29 = Σ(pct × share)
Yorker ratep6.540%
Slower ballp47.833.3%
Slow bouncerp39.126.7%
17 · 33.3% of his oversLA pace203.03268.6761.4
Phase Production 61.4 vs all bowlers · n=41
KPIvaluepctshare
True economy0.87× parp64.650%
Wicket rate1.00/ovp8916.7%
Boundary %22%p42.733.3%
57.3
Impact 57.3 = WPA percentile in phase
WPA (this phase)+2.9
39.4
Versatility 39.4 = Σ(pct × share)
Yorker ratep32.640%
Slower ballp47.833.3%
Slow bouncerp39.126.7%
18 · 47.4% of his oversRA pace299.05901056.1
Phase Production 56.1 vs all bowlers · n=41
KPIvaluepctshare
True economy1.003× parp42.750%
Wicket rate0.56/ovp74.416.7%
Boundary %18%p67.133.3%
37.8
Impact 37.8 = WPA percentile in phase
WPA (this phase)-4.4
29
Versatility 29 = Σ(pct × share)
Yorker ratep6.540%
Slower ballp47.833.3%
Slow bouncerp39.126.7%
19 · 24.3% of his oversRA pace234.12419.8452.4
Phase Production 52.4 vs all bowlers · n=41
KPIvaluepctshare
True economy0.987× parp5050%
Wicket rate0.48/ovp64.616.7%
Boundary %20%p5033.3%
84.1
Impact 84.1 = WPA percentile in phase
WPA (this phase)+29.1
46.4
Versatility 46.4 = Σ(pct × share)
Yorker ratep5040%
Slower ballp47.833.3%
Slow bouncerp39.126.7%
20 · 10.3% of his oversChinaman193.003110.3351.1
Phase Production 51.1 vs all bowlers · n=41
KPIvaluepctshare
True economy1.037× parp45.143.6%
Boundary %17%p69.541.8%
Wicket rate0.00/ovp15.914.5%
15.9
Impact 15.9 = WPA percentile in phase
WPA (this phase)-19.3
14.1
Versatility 14.1 = Σ(pct × share)
Matchup advantagep14.1100%
21 · 8.1% of his oversSLA orthodox213.01289.3349.1
Phase Production 49.1 vs all bowlers · n=41
KPIvaluepctshare
True economy0.936× parp59.843.6%
Boundary %22%p42.741.8%
Wicket rate0.34/ovp35.414.5%
40.2
Impact 40.2 = WPA percentile in phase
WPA (this phase)-3.6
46.9
Versatility 46.9 = Σ(pct × share)
Matchup advantagep46.9100%
22 · 22.6% of his oversSLA orthodox217.01679.5748.8
Phase Production 48.8 vs all bowlers · n=41
KPIvaluepctshare
True economy0.96× parp54.943.6%
Boundary %19%p57.341.8%
Wicket rate0.14/ovp6.114.5%
30.5
Impact 30.5 = WPA percentile in phase
WPA (this phase)-6.7
34.4
Versatility 34.4 = Σ(pct × share)
Matchup advantagep34.4100%
23 · 27.8% of his oversRA pace295.03501043.5
Phase Production 43.5 vs all bowlers · n=41
KPIvaluepctshare
True economy1.003× parp47.650%
Wicket rate0.60/ovp7216.7%
Boundary %27%p23.233.3%
23.2
Impact 23.2 = WPA percentile in phase
WPA (this phase)-16.1
48.1
Versatility 48.1 = Σ(pct × share)
Yorker ratep23.940%
Slower ballp47.833.3%
Slow bouncerp84.826.7%
24 · 43.2% of his oversLeg-spin296.527010.2443.2
Phase Production 43.2 vs all bowlers · n=41
KPIvaluepctshare
True economy1.028× parp35.443.6%
Boundary %20%p54.941.8%
Wicket rate0.29/ovp32.914.5%
52.4
Impact 52.4 = WPA percentile in phase
WPA (this phase)+1.9
46.9
Versatility 46.9 = Σ(pct × share)
Matchup advantagep46.9100%
25 · 26.3% of his oversRA pace2110.04979.741.9
Phase Production 41.9 vs all bowlers · n=41
KPIvaluepctshare
True economy0.973× parp52.450%
Wicket rate0.40/ovp37.816.7%
Boundary %23%p2833.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+1.8
60.3
Versatility 60.3 = Σ(pct × share)
Yorker ratep84.840%
Slower ballp47.833.3%
Slow bouncerp39.126.7%
26 · 40.5% of his oversRA pace3415.0915410.2740.7
Phase Production 40.7 vs all bowlers · n=41
KPIvaluepctshare
True economy1.03× parp2850%
Wicket rate0.60/ovp84.116.7%
Boundary %21%p37.833.3%
93.9
Impact 93.9 = WPA percentile in phase
WPA (this phase)+50.6
51.6
Versatility 51.6 = Σ(pct × share)
Yorker ratep6340%
Slower ballp47.833.3%
Slow bouncerp39.126.7%
27 · 28.6% of his oversOff-spin202.01221140
Phase Production 40 vs all bowlers · n=41
KPIvaluepctshare
True economy1.104× parp37.843.6%
Boundary %25%p35.441.8%
Wicket rate0.50/ovp59.814.5%
47.6
Impact 47.6 = WPA percentile in phase
WPA (this phase)+0
20.3
Versatility 20.3 = Σ(pct × share)
Matchup advantagep20.3100%
28 · 17.5% of his oversRA pace222.212510.7139
Phase Production 39 vs all bowlers · n=41
KPIvaluepctshare
True economy1.075× parp40.250%
Wicket rate0.43/ovp52.416.7%
Boundary %29%p30.533.3%
42.7
Impact 42.7 = WPA percentile in phase
WPA (this phase)-2.2
65.5
Versatility 65.5 = Σ(pct × share)
Yorker ratep97.840%
Slower ballp47.833.3%
Slow bouncerp39.126.7%
29 · 45.5% of his oversRA pace2213.21013810.3536.2
Phase Production 36.2 vs all bowlers · n=41
KPIvaluepctshare
True economy1.038× parp25.650%
Wicket rate0.75/ovp98.816.7%
Boundary %25%p20.733.3%
25.6
Impact 25.6 = WPA percentile in phase
WPA (this phase)-14.3
32.5
Versatility 32.5 = Σ(pct × share)
Yorker ratep15.240%
Slower ballp47.833.3%
Slow bouncerp39.126.7%
30 · 42.1% of his oversRA pace2416.0816310.1935
Phase Production 35 vs all bowlers · n=41
KPIvaluepctshare
True economy1.022× parp30.550%
Wicket rate0.50/ovp67.116.7%
Boundary %23%p25.633.3%
3.7
Impact 3.7 = WPA percentile in phase
WPA (this phase)-42.4
64.3
Versatility 64.3 = Σ(pct × share)
Yorker ratep67.440%
Slower ballp47.833.3%
Slow bouncerp80.426.7%
31 · 30.8% of his oversRA pace3012.0512210.1735
Phase Production 35 vs all bowlers · n=41
KPIvaluepctshare
True economy1.02× parp32.950%
Wicket rate0.41/ovp45.116.7%
Boundary %22%p32.933.3%
28
Impact 28 = WPA percentile in phase
WPA (this phase)-8.4
49.9
Versatility 49.9 = Σ(pct × share)
Yorker ratep58.740%
Slower ballp47.833.3%
Slow bouncerp39.126.7%
32 · 25.7% of his oversRA pace214.545711.7928.9
Phase Production 28.9 vs all bowlers · n=41
KPIvaluepctshare
True economy1.183× parp18.350%
Wicket rate0.83/ovp91.516.7%
Boundary %31%p13.433.3%
8.5
Impact 8.5 = WPA percentile in phase
WPA (this phase)-26.1
37.7
Versatility 37.7 = Σ(pct × share)
Yorker ratep28.340%
Slower ballp47.833.3%
Slow bouncerp39.126.7%
33 · 21.2% of his oversLA pace265.406311.1227.6
Phase Production 27.6 vs all bowlers · n=41
KPIvaluepctshare
True economy1.116× parp23.250%
Wicket rate0.00/ovp1.216.7%
Boundary %21%p47.633.3%
20.7
Impact 20.7 = WPA percentile in phase
WPA (this phase)-17.8
63.8
Versatility 63.8 = Σ(pct × share)
Yorker ratep93.540%
Slower ballp47.833.3%
Slow bouncerp39.126.7%
34 · 27.3% of his oversLA pace313.003712.3327.2
Phase Production 27.2 vs all bowlers · n=41
KPIvaluepctshare
True economy1.237× parp20.750%
Wicket rate0.00/ovp15.916.7%
Boundary %22%p42.733.3%
35.4
Impact 35.4 = WPA percentile in phase
WPA (this phase)-4.8
78.7
Versatility 78.7 = Σ(pct × share)
Yorker ratep89.140%
Slower ballp97.833.3%
Slow bouncerp39.126.7%
35 · 20% of his oversOff-spin245.016112.217.1
Phase Production 17.1 vs all bowlers · n=41
KPIvaluepctshare
True economy1.224× parp15.943.6%
Boundary %30%p15.941.8%
Wicket rate0.20/ovp24.414.5%
1.2
Impact 1.2 = WPA percentile in phase
WPA (this phase)-83.8
10.9
Versatility 10.9 = Σ(pct × share)
Matchup advantagep10.9100%
36 · 36.4% of his oversLA pace279.1410611.5617.1
Phase Production 17.1 vs all bowlers · n=41
KPIvaluepctshare
True economy1.16× parp13.450%
Wicket rate0.44/ovp54.916.7%
Boundary %29%p3.733.3%
32.9
Impact 32.9 = WPA percentile in phase
WPA (this phase)-4.8
44.6
Versatility 44.6 = Σ(pct × share)
Yorker ratep45.740%
Slower ballp47.833.3%
Slow bouncerp39.126.7%
37 · 61.2% of his oversRA pace2614.1616011.2915.9
Phase Production 15.9 vs all bowlers · n=41
KPIvaluepctshare
True economy1.133× parp8.550%
Wicket rate0.43/ovp47.616.7%
Boundary %26%p1133.3%
91.5
Impact 91.5 = WPA percentile in phase
WPA (this phase)+42.1
48.7
Versatility 48.7 = Σ(pct × share)
Yorker ratep19.640%
Slower ballp47.833.3%
Slow bouncerp93.526.7%
38 · 7% of his oversChinaman253.004314.3312.6
Phase Production 12.6 vs all bowlers · n=41
KPIvaluepctshare
True economy1.438× parp6.143.6%
Boundary %33%p18.341.8%
Wicket rate0.00/ovp15.914.5%
13.4
Impact 13.4 = WPA percentile in phase
WPA (this phase)-20.9
50
Versatility 50 = Σ(pct × share)
Matchup advantage *p50100%
39 · 31.4% of his oversRA pace11.0212611.458.9
Phase Production 8.9 vs all bowlers · n=41
KPIvaluepctshare
True economy1.149× parp1150%
Wicket rate0.18/ovp3.716.7%
Boundary %27%p8.533.3%
59.8
Impact 59.8 = WPA percentile in phase
WPA (this phase)+3.6
41.2
Versatility 41.2 = Σ(pct × share)
Yorker ratep3740%
Slower ballp47.833.3%
Slow bouncerp39.126.7%
40 · 33.3% of his oversRA pace323.004615.336.5
Phase Production 6.5 vs all bowlers · n=41
KPIvaluepctshare
True economy1.539× parp3.750%
Wicket rate0.00/ovp15.916.7%
Boundary %39%p6.133.3%
11
Impact 11 = WPA percentile in phase
WPA (this phase)-25.5
44.6
Versatility 44.6 = Σ(pct × share)
Yorker ratep6.540%
Slower ballp47.833.3%
Slow bouncerp97.826.7%
41 · 33.3% of his oversRA pace185.018617.25.1
Phase Production 5.1 vs all bowlers · n=41
KPIvaluepctshare
True economy1.726× parp1.250%
Wicket rate0.20/ovp24.416.7%
Boundary %43%p1.233.3%
6.1
Impact 6.1 = WPA percentile in phase
WPA (this phase)-29.1
42.9
Versatility 42.9 = Σ(pct × share)
Yorker ratep41.340%
Slower ballp47.833.3%
Slow bouncerp39.126.7%