🏏 Hidden GemsAll competitionsData updated 2026-07-23 16:13

Baroda Premier League 2026 — Scout Score

35 batters · 45 bowlers · batting Scout Score live (all 5 components) · hover a score for the breakdown · click a name for the full profile · data updated 2026-07-23 16:13

#PlayerBatAgeInnsRunsBallsSRAvg4s6sScoreProdShot QImpactVers
1 · pos 3RHB219223175127.427.922663.4
Scout Score 63.4 = Σ(component × weight)
Componentscoreweight
Production66.840%
Impact5027%
Versatility4915%
Shot quality78.66%
Trajectory92.912%
  form Δ (last 3 vs season)1.3×[50, 27, 1]
66.8
Production 66.8 = Σ(percentile × share)
KPIvaluepctshare
True SR1.02× parp64.335%
True Avg1.01× parp64.330%
Balls / boundary3.95p64.317.5%
Balls / dismissal21.75p78.617.5%
78.6
Shot Quality 78.6 = control-% percentile
Control · Consolidation88.4%
Control · Build79.4%
Phase-weighted control85.8%
50
Impact 50 = WPA percentile · total +0
WPA · Powerplay+0
WPA · Consolidation+0
49
Versatility 49 = Σ(pct × share) · * owner cell pending
vs Pace SRp35.726.7%
vs Spin SRp5026.7%
Accel into Consp64.320%
Pressure entryp5026.7%
2 · pos 3LHB20612063190.52410960
Scout Score 60 = Σ(component × weight)
Componentscoreweight
Production73.640%
Impact5027%
Versatility65.215%
Shot quality506%
Trajectory35.712%
  form Δ (last 3 vs season)0.83×[11, 16, 0]
73.6
Production 73.6 = Σ(percentile × share)
KPIvaluepctshare
True SR1.57× parp78.635%
True Avg1.42× parp78.630%
Balls / boundary2.86p78.617.5%
Balls / dismissal20p5017.5%
50
Shot Quality 50 = control-% percentile
Control · Consolidation81.8%
Control · Build75%
Phase-weighted control79.4%
50
Impact 50 = WPA percentile · total +0
WPA · Powerplay+0
WPA · Consolidation+0
65.2
Versatility 65.2 = Σ(pct × share) · * owner cell pending
vs Pace SRp64.326.7%
vs Spin SRp92.926.7%
Accel into Consp5020%
Pressure entryp5026.7%
3 · pos 3RHB241026917715229.9251658.7
Scout Score 58.7 = Σ(component × weight)
Componentscoreweight
Production87.940%
Impact5027%
Versatility41.415%
Shot quality21.46%
Trajectory21.412%
  form Δ (last 3 vs season)0.76×[20, 17, 0]
87.9
Production 87.9 = Σ(percentile × share)
KPIvaluepctshare
True SR1.38× parp92.935%
True Avg1.32× parp92.930%
Balls / boundary3.21p92.917.5%
Balls / dismissal21.2p64.317.5%
21.4
Shot Quality 21.4 = control-% percentile
Control · Consolidation73.2%
Control · Build80%
Phase-weighted control74.5%
50
Impact 50 = WPA percentile · total +0
WPA · Powerplay+0
WPA · Consolidation+0
41.4
Versatility 41.4 = Σ(pct × share) · * owner cell pending
vs Pace SRp92.926.7%
vs Spin SRp7.126.7%
Accel into Consp7.120%
Pressure entryp5026.7%
4 · pos 3RHB2410215149144.321.5171248.6
Scout Score 48.6 = Σ(component × weight)
Componentscoreweight
Production29.640%
Impact5027%
Versatility66.215%
Shot quality64.36%
Trajectory78.612%
  form Δ (last 3 vs season)1.19×[24, 42, 1]
29.6
Production 29.6 = Σ(percentile × share)
KPIvaluepctshare
True SR0.95× parp5035%
True Avg0.49× parp7.130%
Balls / boundary4.93p5017.5%
Balls / dismissal11.5p7.117.5%
64.3
Shot Quality 64.3 = control-% percentile
Control · Consolidation89.8%
Control · Build64.5%
Phase-weighted control83.7%
50
Impact 50 = WPA percentile · total +0
WPA · Powerplay+0
WPA · Consolidation+0
66.2
Versatility 66.2 = Σ(pct × share) · * owner cell pending
vs Pace SRp5026.7%
vs Spin SRp78.626.7%
Accel into Consp92.920%
Pressure entryp5026.7%
5 · pos 3RHB298266174152.938131741.6
Scout Score 41.6 = Σ(component × weight)
Componentscoreweight
Production28.940%
Impact5027%
Versatility67.115%
Shot quality92.96%
Trajectory7.112%
  form Δ (last 3 vs season)0.43×[0, 2, 13]
28.9
Production 28.9 = Σ(percentile × share)
KPIvaluepctshare
True SR0.91× parp35.735%
True Avg0.62× parp21.430%
Balls / boundary5.62p35.717.5%
Balls / dismissal15p21.417.5%
92.9
Shot Quality 92.9 = control-% percentile
Control · Consolidation90.7%
Control · Build79.7%
Phase-weighted control86.2%
50
Impact 50 = WPA percentile · total +0
WPA · Powerplay+0
WPA · Consolidation+0
67.1
Versatility 67.1 = Σ(pct × share) · * owner cell pending
vs Pace SRp78.626.7%
vs Spin SRp64.326.7%
Accel into Consp78.620%
Pressure entryp5026.7%
6 · pos 3RHB362353989.717.52140.1
Scout Score 40.1 = Σ(component × weight)
Componentscoreweight
Production4040%
Impact5027%
Versatility28.115%
Shot quality7.16%
Trajectory5012%
  form Δ (last 3 vs season)[13, 22]
40
Production 40 = Σ(percentile × share)
KPIvaluepctshare
True SR0.71× parp21.435%
True Avg0.92× parp5030%
Balls / boundary9.67p7.117.5%
Balls / dismissal29p92.917.5%
7.1
Shot Quality 7.1 = control-% percentile
Control · Consolidation71.4%
Control · Build33.3%
Phase-weighted control64.7%
50
Impact 50 = WPA percentile · total +0
WPA · Powerplay+0
WPA · Consolidation+0
28.1
Versatility 28.1 = Σ(pct × share) · * owner cell pending
vs Pace SRp7.126.7%
vs Spin SRp21.426.7%
Accel into Consp35.720%
Pressure entryp5026.7%
7 · pos 3RHB3111202165122.418.421437.6
Scout Score 37.6 = Σ(component × weight)
Componentscoreweight
Production23.240%
Impact5027%
Versatility32.915%
Shot quality35.76%
Trajectory64.312%
  form Δ (last 3 vs season)1.01×[22, 9, 43]
23.2
Production 23.2 = Σ(percentile × share)
KPIvaluepctshare
True SR0.83× parp7.135%
True Avg0.68× parp35.730%
Balls / boundary6p21.417.5%
Balls / dismissal18p35.717.5%
35.7
Shot Quality 35.7 = control-% percentile
Control · Consolidation75%
Control · Build82.9%
Phase-weighted control76.9%
50
Impact 50 = WPA percentile · total +0
WPA · Powerplay+0
WPA · Consolidation+0
32.9
Versatility 32.9 = Σ(pct × share) · * owner cell pending
vs Pace SRp21.426.7%
vs Spin SRp35.726.7%
Accel into Consp21.420%
Pressure entryp5026.7%
#PlayerBatAgeInnsRunsBallsSRAvg4s6sScoreProdShot QImpactVers
1 · pos 5RHB33924416614748.8181370.8
Scout Score 70.8 = Σ(component × weight)
Componentscoreweight
Production91.628%
Impact5027%
Versatility77.427%
Shot quality67.98%
Trajectory53.610%
  form Δ (last 3 vs season)1.05×[1, 19, 37]
91.6
Production 91.6 = Σ(percentile × share)
KPIvaluepctshare
True SR1.2× parp89.342.9%
True Avg2.75× parp96.432.1%
Balls / boundary5.21p89.325%
67.9
Shot Quality 67.9 = control-% percentile
Control · Consolidation89.3%
Control · Build77.5%
Phase-weighted control80.8%
50
Impact 50 = WPA percentile · total +0
WPA · Consolidation+0
WPA · Build+0
77.4
Versatility 77.4 = Σ(pct × share) · * owner cell pending
Matchup defiancep74.844.4%
  vs LA-orthodox21bp85
  vs Leg-spin0b0b <min
  vs Short ball13bp58.3
Spin hittingp82.629.6%
  Off-spin25bp93.8
  LA-orthodox37bp75
  Leg-spin1b1b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p82.114.8%
Reach deathp67.911.1%
2 · pos 5LHB228159118134.726.561064.3
Scout Score 64.3 = Σ(component × weight)
Componentscoreweight
Production67.128%
Impact5027%
Versatility63.327%
Shot quality758%
Trajectory89.310%
  form Δ (last 3 vs season)1.14×[14, 52, 28]
67.1
Production 67.1 = Σ(percentile × share)
KPIvaluepctshare
True SR0.98× parp67.942.9%
True Avg2.18× parp82.132.1%
Balls / boundary9.6p46.425%
75
Shot Quality 75 = control-% percentile
Control · Consolidation86.4%
Control · Build79.7%
Phase-weighted control81.2%
50
Impact 50 = WPA percentile · total +0
WPA · Consolidation+0
WPA · Build+0
63.3
Versatility 63.3 = Σ(pct × share) · * owner cell pending
Matchup defiancep62.544.4%
  vs Off-spin29bp62.5
  vs Chinaman0b0b <min
  vs Short ball6b6b <min
Spin hittingp62.429.6%
  Off-spin31bp31.2
  LA-orthodox36bp89.3
  Leg-spin4b4b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p53.614.8%
Reach deathp82.111.1%
3 · pos 4RHB289218157138.924.217962.2
Scout Score 62.2 = Σ(component × weight)
Componentscoreweight
Production58.928%
Impact5027%
Versatility59.327%
Shot quality82.18%
Trajectory96.410%
  form Δ (last 3 vs season)1.26×[46, 8, 28]
58.9
Production 58.9 = Σ(percentile × share)
KPIvaluepctshare
True SR1.06× parp7542.9%
True Avg0.82× parp2532.1%
Balls / boundary6.7p7525%
82.1
Shot Quality 82.1 = control-% percentile
Control · Consolidation83.9%
Control · Build79.5%
Phase-weighted control81.3%
50
Impact 50 = WPA percentile · total +0
WPA · Consolidation+0
WPA · Build+0
59.3
Versatility 59.3 = Σ(pct × share) · * owner cell pending
Matchup defiancep7144.4%
  vs LA-orthodox60bp75
  vs Leg-spin12bp25
  vs Short ball15bp91.7
Spin hittingp53.229.6%
  Off-spin17bp81.2
  LA-orthodox65bp46.4
  Leg-spin12bp50
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p67.914.8%
Reach deathp17.911.1%
4 · pos 4LHB219200131152.725121560.3
Scout Score 60.3 = Σ(component × weight)
Componentscoreweight
Production89.528%
Impact5027%
Versatility66.327%
Shot quality258%
Trajectory17.910%
  form Δ (last 3 vs season)0.97×[29, 26, 4]
89.5
Production 89.5 = Σ(percentile × share)
KPIvaluepctshare
True SR1.26× parp96.442.9%
True Avg1.35× parp7532.1%
Balls / boundary4.65p96.425%
25
Shot Quality 25 = control-% percentile
Control · Consolidation63.3%
Control · Build76.2%
Phase-weighted control72%
50
Impact 50 = WPA percentile · total +0
WPA · Consolidation+0
WPA · Build+0
66.3
Versatility 66.3 = Σ(pct × share) · * owner cell pending
Matchup defiancep56.944.4%
  vs Off-spin27bp87.5
  vs Chinaman0b0b <min
  vs Short ball17bp8.3
Spin hittingp76.329.6%
  Off-spin28bp56.2
  LA-orthodox28bp96.4
  Leg-spin3b3b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p89.314.8%
Reach deathp46.411.1%
5 · pos 4RHB2192522001263626756.4
Scout Score 56.4 = Σ(component × weight)
Componentscoreweight
Production61.728%
Impact5027%
Versatility46.527%
Shot quality60.78%
Trajectory82.110%
  form Δ (last 3 vs season)1.08×[5, 36, 56]
61.7
Production 61.7 = Σ(percentile × share)
KPIvaluepctshare
True SR0.9× parp53.642.9%
True Avg1.21× parp67.932.1%
Balls / boundary7.68p67.925%
60.7
Shot Quality 60.7 = control-% percentile
Control · Consolidation77.4%
Control · Build81%
Phase-weighted control79.5%
50
Impact 50 = WPA percentile · total +0
WPA · Consolidation+0
WPA · Build+0
46.5
Versatility 46.5 = Σ(pct × share) · * owner cell pending
Matchup defiancep37.344.4%
  vs LA-orthodox49bp25
  vs Leg-spin1b1b <min
  vs Short ball16bp75
Spin hittingp24.529.6%
  Off-spin40bp43.8
  LA-orthodox56bp10.7
  Leg-spin1b1b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p96.414.8%
Reach deathp7511.1%
6 · pos 4LHB2710296260113.849.319755.7
Scout Score 55.7 = Σ(component × weight)
Componentscoreweight
Production68.128%
Impact5027%
Versatility3427%
Shot quality89.38%
Trajectory67.910%
  form Δ (last 3 vs season)1.07×[0, 1, 44]
68.1
Production 68.1 = Σ(percentile × share)
KPIvaluepctshare
True SR0.91× parp60.742.9%
True Avg2.05× parp89.332.1%
Balls / boundary9.8p53.625%
89.3
Shot Quality 89.3 = control-% percentile
Control · Consolidation83.8%
Control · Build84.4%
Phase-weighted control84.2%
50
Impact 50 = WPA percentile · total +0
WPA · Consolidation+0
WPA · Build+0
34
Versatility 34 = Σ(pct × share) · * owner cell pending
Matchup defiancep19.944.4%
  vs Off-spin68bp12.5
  vs Chinaman0b0b <min
  vs Short ball23bp41.7
Spin hittingp34.329.6%
  Off-spin68bp6.2
  LA-orthodox44bp82.1
  Leg-spin11bp16.7
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p60.714.8%
Reach deathp53.611.1%
7 · pos 5RHB245596590.814.85150.9
Scout Score 50.9 = Σ(component × weight)
Componentscoreweight
Production37.828%
Impact5027%
Versatility59.827%
Shot quality39.38%
Trajectory7510%
  form Δ (last 3 vs season)1.08×[0, 28, 14]
37.8
Production 37.8 = Σ(percentile × share)
KPIvaluepctshare
True SR0.8× parp2542.9%
True Avg1.02× parp53.632.1%
Balls / boundary9.17p39.325%
39.3
Shot Quality 39.3 = control-% percentile
Control · Consolidation73.1%
Control · Build75.9%
Phase-weighted control74.5%
50
Impact 50 = WPA percentile · total +0
WPA · Consolidation+0
WPA · Build+0
59.8
Versatility 59.8 = Σ(pct × share) · * owner cell pending
Matchup defiancep9544.4%
  vs LA-orthodox31bp95
  vs Leg-spin0b0b <min
  vs Short ball2b2b <min
Spin hittingp53.629.6%
  Off-spin9b9b <min
  LA-orthodox35bp53.6
  Leg-spin0b0b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p3.614.8%
Reach deathp10.711.1%
8 · pos 4RHB289211162130.223.418749.2
Scout Score 49.2 = Σ(component × weight)
Componentscoreweight
Production70.728%
Impact5027%
Versatility45.527%
Shot quality32.18%
Trajectory10.710%
  form Δ (last 3 vs season)0.93×[45, 0, 37]
70.7
Production 70.7 = Σ(percentile × share)
KPIvaluepctshare
True SR1.06× parp82.142.9%
True Avg1.05× parp46.432.1%
Balls / boundary6.45p82.125%
32.1
Shot Quality 32.1 = control-% percentile
Control · Consolidation82.7%
Control · Build68.8%
Phase-weighted control74.4%
50
Impact 50 = WPA percentile · total +0
WPA · Consolidation+0
WPA · Build+0
45.5
Versatility 45.5 = Σ(pct × share) · * owner cell pending
Matchup defiancep43.944.4%
  vs LA-orthodox30bp45
  vs Leg-spin13bp75
  vs Short ball23bp25
Spin hittingp48.929.6%
  Off-spin23bp68.8
  LA-orthodox38bp17.9
  Leg-spin21bp83.3
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p7514.8%
Reach deathp3.611.1%
9 · pos 5RHB44341104.910.84140.9
Scout Score 40.9 = Σ(component × weight)
Componentscoreweight
Production37.528%
Impact5027%
Versatility4727%
Shot quality3.68%
Trajectory39.310%
  form Δ (last 3 vs season)1.03×[1, 25, 16]
37.5
Production 37.5 = Σ(percentile × share)
KPIvaluepctshare
True SR0.81× parp39.342.9%
True Avg0.64× parp39.332.1%
Balls / boundary8.5p32.125%
3.6
Shot Quality 3.6 = control-% percentile
Control · Consolidation75%
Control · Build53.8%
Phase-weighted control58.8%
50
Impact 50 = WPA percentile · total +0
WPA · Consolidation+0
WPA · Build+0
47
Versatility 47 = Σ(pct × share) · * owner cell pending
Matchup defiancep6544.4%
  vs LA-orthodox15bp65
  vs Leg-spin2b2b <min
  vs Short ball7b7b <min
Spin hittingp32.129.6%
  Off-spin0b0b <min
  LA-orthodox17bp32.1
  Leg-spin2b2b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p39.314.8%
Reach deathp2511.1%
10 · pos 4LHB2210130107121.521.713240.9
Scout Score 40.9 = Σ(component × weight)
Componentscoreweight
Production40.828%
Impact5027%
Versatility44.527%
Shot quality17.98%
Trajectory2510%
  form Δ (last 3 vs season)0.97×[24, 9, 0]
40.8
Production 40.8 = Σ(percentile × share)
KPIvaluepctshare
True SR0.89× parp46.442.9%
True Avg0.65× parp17.932.1%
Balls / boundary8p60.725%
17.9
Shot Quality 17.9 = control-% percentile
Control · Consolidation65.6%
Control · Build75%
Phase-weighted control71.2%
50
Impact 50 = WPA percentile · total +0
WPA · Consolidation+0
WPA · Build+0
44.5
Versatility 44.5 = Σ(pct × share) · * owner cell pending
Matchup defiancep37.544.4%
  vs Off-spin22bp37.5
  vs Chinaman0b0b <min
  vs Short ball5b5b <min
Spin hittingp47.929.6%
  Off-spin22bp18.8
  LA-orthodox32bp67.9
  Leg-spin0b0b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p46.414.8%
Reach deathp60.711.1%
11 · pos 5RHB3024745104.4473139.3
Scout Score 39.3 = Σ(component × weight)
Componentscoreweight
Production39.528%
Impact5027%
Versatility28.927%
Shot quality46.48%
Trajectory32.110%
  form Δ (last 3 vs season)[24, 23]
39.5
Production 39.5 = Σ(percentile × share)
KPIvaluepctshare
True SR0.79× parp32.142.9%
True Avgn/ap60.732.1%
Balls / boundary13.33p2525%
46.4
Shot Quality 46.4 = control-% percentile
Control · Consolidation62.5%
Control · Build81.2%
Phase-weighted control77.5%
50
Impact 50 = WPA percentile · total +0
WPA · Consolidation+0
WPA · Build+0
28.9
Versatility 28.9 = Σ(pct × share) · * owner cell pending
Matchup defiancep3544.4%
  vs LA-orthodox16bp35
  vs Leg-spin0b0b <min
  vs Short ball9b9b <min
Spin hittingp2529.6%
  Off-spin0b0b <min
  LA-orthodox20bp25
  Leg-spin0b0b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p10.714.8%
Reach deathp39.311.1%
12 · pos 4RHB2758567126.921.26435.7
Scout Score 35.7 = Σ(component × weight)
Componentscoreweight
Production17.628%
Impact5027%
Versatility38.327%
Shot quality10.78%
Trajectory60.710%
  form Δ (last 3 vs season)1.06×[11, 27, 24]
17.6
Production 17.6 = Σ(percentile × share)
KPIvaluepctshare
True SR0.7× parp10.742.9%
True Avg0.44× parp32.132.1%
Balls / boundary27p10.725%
10.7
Shot Quality 10.7 = control-% percentile
Control · Consolidation65%
Control · Build42.9%
Phase-weighted control59.3%
50
Impact 50 = WPA percentile · total +0
WPA · Consolidation+0
WPA · Build+0
38.3
Versatility 38.3 = Σ(pct × share) · * owner cell pending
Matchup defiancep1544.4%
  vs LA-orthodox10bp15
  vs Leg-spin0b0b <min
  vs Short ball4b4b <min
Spin hittingp60.729.6%
  Off-spin2b2b <min
  LA-orthodox20bp60.7
  Leg-spin5b5b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p2514.8%
Reach deathp89.311.1%
13 · pos 5RHB29814789165.224.561235.2
Scout Score 35.2 = Σ(component × weight)
Componentscoreweight
Production13.328%
Impact5027%
Versatility49.427%
Shot quality53.68%
Trajectory3.610%
  form Δ (last 3 vs season)0.26×[2, 4, 1]
13.3
Production 13.3 = Σ(percentile × share)
KPIvaluepctshare
True SR0.77× parp17.942.9%
True Avg0.41× parp3.632.1%
Balls / boundary15.33p17.925%
53.6
Shot Quality 53.6 = control-% percentile
Control · Consolidationn/a
Control · Build78.3%
Phase-weighted control78.3%
50
Impact 50 = WPA percentile · total +0
WPA · Consolidation+0
WPA · Build+0
49.4
Versatility 49.4 = Σ(pct × share) · * owner cell pending
Matchup defiancep5544.4%
  vs LA-orthodox24bp55
  vs Leg-spin0b0b <min
  vs Short ball1b1b <min
Spin hittingp39.329.6%
  Off-spin9b9b <min
  LA-orthodox24bp39.3
  Leg-spin0b0b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p17.914.8%
Reach deathp96.411.1%
14 · pos 4RHB29436458091030.6
Scout Score 30.6 = Σ(component × weight)
Componentscoreweight
Production5.928%
Impact5027%
Versatility11.627%
Shot quality96.48%
Trajectory46.410%
  form Δ (last 3 vs season)1.05×[4, 8, 24]
5.9
Production 5.9 = Σ(percentile × share)
KPIvaluepctshare
True SR0.66× parp3.642.9%
True Avg0.3× parp10.732.1%
Balls / boundary30p3.625%
96.4
Shot Quality 96.4 = control-% percentile
Control · Consolidation88.9%
Control · Build91.7%
Phase-weighted control90%
50
Impact 50 = WPA percentile · total +0
WPA · Consolidation+0
WPA · Build+0
11.6
Versatility 11.6 = Σ(pct × share) · * owner cell pending
Matchup defiancep544.4%
  vs LA-orthodox15bp5
  vs Leg-spin0b0b <min
  vs Short ball3b3b <min
Spin hittingp3.629.6%
  Off-spin8b8b <min
  LA-orthodox19bp3.6
  Leg-spin1b1b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p32.114.8%
Reach deathp32.111.1%
#PlayerBatAgeInnsRunsBallsSRAvg4s6sScoreProdShot QImpactVers
1 · pos 6RHB2391406720917.5131065.1
Scout Score 65.1 = Σ(component × weight)
Componentscoreweight
Production87.140%
Impact5025%
Versatility5218%
Shot quality96.44%
Trajectory34.613%
  form Δ (last 3 vs season)0.92×[30, 7, 7]
87.1
Production 87.1 = Σ(percentile × share)
KPIvaluepctshare
True SR1.36× parp96.432.5%
Balls / boundary2.68p96.420%
Balls / six6.56p89.332.5%
Early boundaryn/ap5015%
96.4
Shot Quality 96.4 = control-% percentile
Control · Consolidationn/a
Control · Build87.5%
Phase-weighted control87.5%
50
Impact 50 = WPA percentile · total +0
WPA · Death+0
52
Versatility 52 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker3b3b <min
  vs Slower ball12bp50
vs Spin (death)p57.116.7%
Reach buildp53.622.2%
2 · pos 6LHB271026416416137.7161964.7
Scout Score 64.7 = Σ(component × weight)
Componentscoreweight
Production85.740%
Impact5025%
Versatility71.418%
Shot quality89.34%
Trajectory11.513%
  form Δ (last 3 vs season)0.56×[10, 19, 18]
85.7
Production 85.7 = Σ(percentile × share)
KPIvaluepctshare
True SR1.3× parp89.332.5%
Balls / boundary2.94p89.320%
Balls / six5p96.432.5%
Early boundaryn/ap5015%
89.3
Shot Quality 89.3 = control-% percentile
Control · Consolidationn/a
Control · Build86.8%
Phase-weighted control86.8%
50
Impact 50 = WPA percentile · total +0
WPA · Death+0
71.4
Versatility 71.4 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p83.361.1%
  vs Yorker5b5b <min
  vs Slower ball15bp83.3
vs Spin (death)p32.116.7%
Reach buildp67.922.2%
3 · pos 8RHB2964931158.124.55259
Scout Score 59 = Σ(component × weight)
Componentscoreweight
Production59.640%
Impact5025%
Versatility53.818%
Shot quality10.74%
Trajectory96.213%
  form Δ (last 3 vs season)1.33×[17, 0, 4]
59.6
Production 59.6 = Σ(percentile × share)
KPIvaluepctshare
True SR1.17× parp67.932.5%
Balls / boundary3p7520%
Balls / six10.5p46.432.5%
Early boundaryn/ap5015%
10.7
Shot Quality 10.7 = control-% percentile
Control · Consolidationn/a
Control · Build60%
Phase-weighted control60%
50
Impact 50 = WPA percentile · total +0
WPA · Death+0
53.8
Versatility 53.8 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker2b2b <min
  vs Slower ball5b5b <min
vs Spin (death)p96.416.7%
Reach buildp32.122.2%
4 · pos 6RHB297148126117.524.712558.2
Scout Score 58.2 = Σ(component × weight)
Componentscoreweight
Production6740%
Impact5025%
Versatility40.918%
Shot quality754%
Trajectory65.413%
  form Δ (last 3 vs season)1.1×[1, 30, 53]
67
Production 67 = Σ(percentile × share)
KPIvaluepctshare
True SR1.35× parp82.132.5%
Balls / boundary2.75p53.620%
Balls / six5.5p67.932.5%
Early boundaryn/ap5015%
75
Shot Quality 75 = control-% percentile
Control · Consolidation93%
Control · Build80.9%
Phase-weighted control85.6%
50
Impact 50 = WPA percentile · total +0
WPA · Death+0
40.9
Versatility 40.9 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker1b1b <min
  vs Slower ball5b5b <min
vs Spin (death)p57.116.7%
Reach buildp3.622.2%
5 · pos 7LHB18710764167.215.34956.3
Scout Score 56.3 = Σ(component × weight)
Componentscoreweight
Production65.240%
Impact5025%
Versatility52.818%
Shot quality17.94%
Trajectory57.713%
  form Δ (last 3 vs season)1.04×[8, 13, 19]
65.2
Production 65.2 = Σ(percentile × share)
KPIvaluepctshare
True SR1.02× parp53.632.5%
Balls / boundary4.78p67.920%
Balls / six6.14p82.132.5%
Early boundaryn/ap5015%
17.9
Shot Quality 17.9 = control-% percentile
Control · Consolidationn/a
Control · Build66.7%
Phase-weighted control66.7%
50
Impact 50 = WPA percentile · total +0
WPA · Death+0
52.8
Versatility 52.8 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker3b3b <min
  vs Slower ball5b5b <min
vs Spin (death)p14.316.7%
Reach buildp89.322.2%
6 · pos 8RHB5634613731.52551.9
Scout Score 51.9 = Σ(component × weight)
Componentscoreweight
Production60.940%
Impact5025%
Versatility46.618%
Shot quality3.64%
Trajectory5013%
  form Δ (last 3 vs season)1.03×[20, 4, 27]
60.9
Production 60.9 = Σ(percentile × share)
KPIvaluepctshare
True SR1.07× parp60.732.5%
Balls / boundary5.2p46.420%
Balls / six6.5p7532.5%
Early boundaryn/ap5015%
3.6
Shot Quality 3.6 = control-% percentile
Control · Consolidationn/a
Control · Build55%
Phase-weighted control55%
50
Impact 50 = WPA percentile · total +0
WPA · Death+0
46.6
Versatility 46.6 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker1b1b <min
  vs Slower ball7b7b <min
vs Spin (death)p82.116.7%
Reach buildp10.722.2%
7 · pos 7RHB23710281125.9177650.9
Scout Score 50.9 = Σ(component × weight)
Componentscoreweight
Production38.640%
Impact5025%
Versatility56.718%
Shot quality32.14%
Trajectory88.513%
  form Δ (last 3 vs season)1.21×[41, 30, 11]
38.6
Production 38.6 = Σ(percentile × share)
KPIvaluepctshare
True SR1.06× parp46.432.5%
Balls / boundary4.67p39.320%
Balls / six14p2532.5%
Early boundaryn/ap5015%
32.1
Shot Quality 32.1 = control-% percentile
Control · Consolidationn/a
Control · Build70%
Phase-weighted control70%
50
Impact 50 = WPA percentile · total +0
WPA · Death+0
56.7
Versatility 56.7 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker0b0b <min
  vs Slower ball9b9b <min
vs Spin (death)p57.116.7%
Reach buildp7522.2%
8 · pos 6RHB711087126.4229447
Scout Score 47 = Σ(component × weight)
Componentscoreweight
Production59.940%
Impact5025%
Versatility45.618%
Shot quality46.44%
Trajectory3.813%
  form Δ (last 3 vs season)0.56×[9, 3, 7]
59.9
Production 59.9 = Σ(percentile × share)
KPIvaluepctshare
True SR1.16× parp7532.5%
Balls / boundary3.25p82.120%
Balls / six13p35.732.5%
Early boundaryn/ap5015%
46.4
Shot Quality 46.4 = control-% percentile
Control · Consolidation83.3%
Control · Build72.2%
Phase-weighted control78.6%
50
Impact 50 = WPA percentile · total +0
WPA · Death+0
45.6
Versatility 45.6 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker1b1b <min
  vs Slower ball7b7b <min
vs Spin (death)p57.116.7%
Reach buildp2522.2%
9 · pos 7RHB4736747142.622.31646.2
Scout Score 46.2 = Σ(component × weight)
Componentscoreweight
Production41.840%
Impact5025%
Versatility58.318%
Shot quality254%
Trajectory42.313%
  form Δ (last 3 vs season)[9, 54, 4]
41.8
Production 41.8 = Σ(percentile × share)
KPIvaluepctshare
True SR0.93× parp32.132.5%
Balls / boundary6p32.120%
Balls / six6p53.632.5%
Early boundaryn/ap5015%
25
Shot Quality 25 = control-% percentile
Control · Consolidation63.6%
Control · Build75%
Phase-weighted control68.4%
50
Impact 50 = WPA percentile · total +0
WPA · Death+0
58.3
Versatility 58.3 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker0b0b <min
  vs Slower ball3b3b <min
vs Spin (death)p57.116.7%
Reach buildp82.122.2%
10 · pos 7RHB2773432106.211.31245
Scout Score 45 = Σ(component × weight)
Componentscoreweight
Production26.240%
Impact5025%
Versatility54.218%
Shot quality67.94%
Trajectory73.113%
  form Δ (last 3 vs season)1.13×[1, 5, 6]
26.2
Production 26.2 = Σ(percentile × share)
KPIvaluepctshare
True SR0.71× parp10.732.5%
Balls / boundary8.67p17.920%
Balls / six13p35.732.5%
Early boundaryn/ap5015%
67.9
Shot Quality 67.9 = control-% percentile
Control · Consolidationn/a
Control · Build83.3%
Phase-weighted control83.3%
50
Impact 50 = WPA percentile · total +0
WPA · Death+0
54.2
Versatility 54.2 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker1b1b <min
  vs Slower ball2b2b <min
vs Spin (death)p89.316.7%
Reach buildp39.322.2%
11 · pos 7RHB2176865104.613.65344.3
Scout Score 44.3 = Σ(component × weight)
Componentscoreweight
Production52.140%
Impact5025%
Versatility35.118%
Shot quality53.64%
Trajectory19.213%
  form Δ (last 3 vs season)0.62×[3, 10, 0]
52.1
Production 52.1 = Σ(percentile × share)
KPIvaluepctshare
True SR0.97× parp39.332.5%
Balls / boundary3.8p60.720%
Balls / six9.5p60.732.5%
Early boundaryn/ap5015%
53.6
Shot Quality 53.6 = control-% percentile
Control · Consolidation75%
Control · Build86.4%
Phase-weighted control80.4%
50
Impact 50 = WPA percentile · total +0
WPA · Death+0
35.1
Versatility 35.1 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker3b3b <min
  vs Slower ball4b4b <min
vs Spin (death)p3.616.7%
Reach buildp17.922.2%
12 · pos 6RHB2167658131197241
Scout Score 41 = Σ(component × weight)
Componentscoreweight
Production21.840%
Impact5025%
Versatility33.218%
Shot quality82.14%
Trajectory80.813%
  form Δ (last 3 vs season)1.16×[21, 1, 36]
21.8
Production 21.8 = Σ(percentile × share)
KPIvaluepctshare
True SR0.79× parp2532.5%
Balls / boundary7.25p2520%
Balls / six29p3.632.5%
Early boundaryn/ap5015%
82.1
Shot Quality 82.1 = control-% percentile
Control · Consolidation100%
Control · Build85.7%
Phase-weighted control86.2%
50
Impact 50 = WPA percentile · total +0
WPA · Death+0
33.2
Versatility 33.2 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p16.761.1%
  vs Yorker2b2b <min
  vs Slower ball11bp16.7
vs Spin (death)p57.116.7%
Reach buildp60.722.2%
13 · pos 6RHB2214924204.2492539.1
Scout Score 39.1 = Σ(component × weight)
Componentscoreweight
Production18.940%
Impact5025%
Versatility56.218%
Shot quality60.74%
Trajectory5013%
  form Δ (last 3 vs season)n/a[49]
18.9
Production 18.9 = Σ(percentile × share)
KPIvaluepctshare
True SR0.57× parp17.932.5%
Balls / boundary13p10.720%
Balls / six26p10.732.5%
Early boundaryn/ap5015%
60.7
Shot Quality 60.7 = control-% percentile
Control · Consolidationn/a
Control · Build81.8%
Phase-weighted control81.8%
50
Impact 50 = WPA percentile · total +0
WPA · Death+0
56.2
Versatility 56.2 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker1b1b <min
  vs Slower ball3b3b <min
vs Spin (death)p2516.7%
Reach buildp96.422.2%
14 · pos 6RHB19645509094231.4
Scout Score 31.4 = Σ(component × weight)
Componentscoreweight
Production15.240%
Impact5025%
Versatility43.318%
Shot quality39.34%
Trajectory26.913%
  form Δ (last 3 vs season)0.7×[5, 2, 5]
15.2
Production 15.2 = Σ(percentile × share)
KPIvaluepctshare
True SR0.31× parp3.632.5%
Balls / boundary20p3.620%
Balls / six20p17.932.5%
Early boundaryn/ap5015%
39.3
Shot Quality 39.3 = control-% percentile
Control · Consolidation63.6%
Control · Build83.3%
Phase-weighted control70.6%
50
Impact 50 = WPA percentile · total +0
WPA · Death+0
43.3
Versatility 43.3 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker0b0b <min
  vs Slower ball2b2b <min
vs Spin (death)p14.316.7%
Reach buildp46.422.2%
#BowlerTypeAgeOversWktsRunsEconScoreProdQualImpactVers
1 · PP 36.6% MID 9.8% DEATH 53.7%LA pace2741.0243237.8866.8
Scout Score 66.8 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay65.936.6%
Middle599.8%
Death68.853.7%
Trajectory (econ Δ, all phases)p361.06×
87.4
Bowling Production 87.4 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay7w · 7.53 econp81.736.6%
Middle2w · 6.75 econp73.79.8%
Death15w · 8.32 econp93.853.7%
64.1
Quality 64.1 = false-shots induced (PP+Mid)
False-shot · Powerplay29%p67.2
False-shot · Middle21%p52.5
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5036.6%
MiddleWPA +0p509.8%
DeathWPA +0p5053.7%
58.9
Versatility 58.9 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp77.236.6%
Middlep58.89.8%
Deathp46.553.7%
2 · PP 23.1% MID 57.7% DEATH 19.2%RA pace2834.4122557.3665.2
Scout Score 65.2 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay73.623.1%
Middle63.857.7%
Death59.519.2%
Trajectory (econ Δ, all phases)p77.90.98×
65.2
Bowling Production 65.2 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay3w · 6.62 econp84.623.1%
Middle5w · 7.1 econp57.157.7%
Death4w · 9 econp6619.2%
88
Quality 88 = false-shots induced (PP+Mid)
False-shot · Powerplay35%p85.9
False-shot · Middle28%p88.8
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5023.1%
MiddleWPA +0p5057.7%
DeathWPA +0p5019.2%
65.2
Versatility 65.2 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp72.823.1%
Middlep70.657.7%
Deathp39.619.2%
3 · PP 55.8% MID 13.3% DEATH 31%RA pace2537.4143258.6364.3
Scout Score 64.3 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay63.155.8%
Middle56.513.3%
Death69.831%
Trajectory (econ Δ, all phases)p82.60.97×
60.9
Bowling Production 60.9 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay5w · 8.14 econp54.955.8%
Middle3w · 10.2 econp45.413.3%
Death6w · 8.83 econp78.431%
98
Quality 98 = false-shots induced (PP+Mid)
False-shot · Powerplay41%p98.4
False-shot · Middle43%p96.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5055.8%
MiddleWPA +0p5013.3%
DeathWPA +0p5031%
56.8
Versatility 56.8 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp57.855.8%
Middlep33.813.3%
Deathp64.831%
4 · PP 21.2% MID 66.7% DEATH 12.1%Off-spin2433.072407.2763.2
Scout Score 63.2 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay47.621.2%
Middle73.466.7%
Death34.712.1%
Trajectory (econ Δ, all phases)p80.20.98×
65.7
Bowling Production 65.7 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 7.14 econp51.721.2%
Middle6w · 6 econp78.666.7%
Death0w · 14.5 econp19.212.1%
65.8
Quality 65.8 = false-shots induced (PP+Mid)
False-shot · Powerplay7%p1.6
False-shot · Middle28%p86.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5021.2%
MiddleWPA +0p5066.7%
DeathWPA +0p5012.1%
72
Versatility 72 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp61.721.2%
Middlep83.866.7%
Deathp2512.1%
5 · PP 37.7% MID 20.6% DEATH 41.7%RA pace2229.171766.0362.9
Scout Score 62.9 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay6937.7%
Middle53.220.6%
Death62.141.7%
Trajectory (econ Δ, all phases)p22.11.12×
77
Bowling Production 77 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay3w · 5.09 econp82.637.7%
Middle1w · 6.33 econp5520.6%
Death3w · 6.74 econp82.741.7%
83.3
Quality 83.3 = false-shots induced (PP+Mid)
False-shot · Powerplay39%p95.3
False-shot · Middle22%p61.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5037.7%
MiddleWPA +0p5020.6%
DeathWPA +0p5041.7%
63.1
Versatility 63.1 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp75.637.7%
Middlep7020.6%
Deathp48.341.7%
6 · MID 100%SLA orthodox224.0220560.5
Scout Score 60.5 = Σ(phase score × deployment)
Phasescoredeploy
Middle60.5100%
Trajectory (econ Δ, all phases)p50n/a
84.6
Bowling Production 84.6 = Σ(phase × deployment)
Phaselineproddeploy
Middle2w · 5 econp84.6100%
21.2
Quality 21.2 = false-shots induced (PP+Mid)
False-shot · Middle12%p21.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +0p50100%
63.8
Versatility 63.8 = Σ(phase × deployment)
Phaseversdeploy
Middlep63.8100%
7 · MID 100%Off-spin286.53537.7660.5
Scout Score 60.5 = Σ(phase score × deployment)
Phasescoredeploy
Middle60.5100%
Trajectory (econ Δ, all phases)p29.11.07×
67
Bowling Production 67 = Σ(phase × deployment)
Phaselineproddeploy
Middle3w · 7.76 econp67100%
91.2
Quality 91.2 = false-shots induced (PP+Mid)
False-shot · Middle34%p91.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +0p50100%
49.4
Versatility 49.4 = Σ(phase × deployment)
Phaseversdeploy
Middlep49.4100%
8 · PP 52.4% DEATH 42.9%RA pace2521.0122089.960.1
Scout Score 60.1 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay70.752.4%
Death47.142.9%
Trajectory (econ Δ, all phases)p75.60.99×
58.2
Bowling Production 58.2 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay4w · 7.55 econp75.652.4%
Death8w · 12.22 econp3742.9%
92.2
Quality 92.2 = false-shots induced (PP+Mid)
False-shot · Powerplay35%p92.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5052.4%
DeathWPA +0p5042.9%
62.3
Versatility 62.3 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp70.952.4%
Deathp51.742.9%
9 · PP 16.7% MID 83.3%Off-spin2930.072006.6757.9
Scout Score 57.9 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay41.516.7%
Middle61.283.3%
Trajectory (econ Δ, all phases)p84.90.96×
66.1
Bowling Production 66.1 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 10.6 econp35.416.7%
Middle6w · 5.88 econp72.383.3%
18
Quality 18 = false-shots induced (PP+Mid)
False-shot · Powerplay13%p14.1
False-shot · Middle19%p18.8
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5016.7%
MiddleWPA +0p5083.3%
75.3
Versatility 75.3 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp39.416.7%
Middlep82.583.3%
10 · MID 60.6% DEATH 36.5%RA pace2734.4132888.3157.3
Scout Score 57.3 = Σ(phase score × deployment)
Phasescoredeploy
Middle58.660.6%
Death55.336.5%
Trajectory (econ Δ, all phases)p70.90.99×
55.2
Bowling Production 55.2 = Σ(phase × deployment)
Phaselineproddeploy
Middle4w · 6.71 econp53.960.6%
Death9w · 10.5 econp57.436.5%
56.2
Quality 56.2 = false-shots induced (PP+Mid)
False-shot · Middle22%p56.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +0p5060.6%
DeathWPA +0p5036.5%
69.1
Versatility 69.1 = Σ(phase × deployment)
Phaseversdeploy
Middlep83.860.6%
Deathp44.836.5%
11 · PP 30% MID 40% DEATH 30%RA pace3120.081648.256.8
Scout Score 56.8 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay6130%
Middle43.740%
Death70.130%
Trajectory (econ Δ, all phases)p54.7
56.6
Bowling Production 56.6 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay3w · 8.83 econp63.230%
Middle2w · 9.25 econp30.240%
Death3w · 6.17 econp85.230%
80.5
Quality 80.5 = false-shots induced (PP+Mid)
False-shot · Powerplay36%p82.8
False-shot · Middle29%p78.8
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5030%
MiddleWPA +0p5040%
DeathWPA +0p5030%
44.8
Versatility 44.8 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp55.330%
Middlep2040%
Deathp67.430%
12 · PP 32.3% MID 61.3% DEATH 6.5%SLA orthodox2231.082066.6555.9
Scout Score 55.9 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay3732.3%
Middle67.161.3%
Death45.26.5%
Trajectory (econ Δ, all phases)p12.81.16×
69.9
Bowling Production 69.9 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay2w · 8.3 econp43.332.3%
Middle6w · 5.58 econp8661.3%
Death0w · 8.5 econp49.46.5%
46.1
Quality 46.1 = false-shots induced (PP+Mid)
False-shot · Powerplay15%p7.8
False-shot · Middle23%p66.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5032.3%
MiddleWPA +0p5061.3%
DeathWPA +0p506.5%
72.3
Versatility 72.3 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp45.632.3%
Middlep88.861.3%
Deathp506.5%
13 · PP 62.5% MID 37.5%Off-spin2432.071976.1654.7
Scout Score 54.7 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay57.962.5%
Middle49.437.5%
Trajectory (econ Δ, all phases)p10.51.17×
67.1
Bowling Production 67.1 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay4w · 6.2 econp65.262.5%
Middle3w · 6.08 econp70.337.5%
50.2
Quality 50.2 = false-shots induced (PP+Mid)
False-shot · Powerplay30%p76.6
False-shot · Middle14%p6.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5062.5%
MiddleWPA +0p5037.5%
70.1
Versatility 70.1 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp70.962.5%
Middlep68.837.5%
14 · MID 50%RA pace214.015012.552.6
Scout Score 52.6 = Σ(phase score × deployment)
Phasescoredeploy
Middle52.650%
Trajectory (econ Δ, all phases)p54.7
50.5
Bowling Production 50.5 = Σ(phase × deployment)
Phaselineproddeploy
Middle1w · 9.5 econp50.550%
73.8
Quality 73.8 = false-shots induced (PP+Mid)
False-shot · Middle33%p73.8
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +0p5050%
36.2
Versatility 36.2 = Σ(phase × deployment)
Phaseversdeploy
Middlep36.250%
15 · PP 51.3% MID 42.7% DEATH 6%SLA orthodox3633.182246.7552.2
Scout Score 52.2 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay59.151.3%
Middle41.542.7%
Death706%
Trajectory (econ Δ, all phases)p91.90.88×
54
Bowling Production 54 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay4w · 6 econp73.651.3%
Middle2w · 7.84 econp2842.7%
Death2w · 5.5 econp71.86%
21.3
Quality 21.3 = false-shots induced (PP+Mid)
False-shot · Powerplay22%p17.2
False-shot · Middle19%p26.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5051.3%
MiddleWPA +0p5042.7%
DeathWPA +0p506%
53.9
Versatility 53.9 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp58.451.3%
Middlep43.842.7%
Deathp87.56%
16 · PP 50% DEATH 50%RA pace214.01266.551.5
Scout Score 51.5 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay52.150%
Death50.850%
Trajectory (econ Δ, all phases)p50n/a
52
Bowling Production 52 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 3.5 econp55.850%
Death1w · 9.5 econp48.150%
42.2
Quality 42.2 = false-shots induced (PP+Mid)
False-shot · Powerplay25%p42.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5050%
DeathWPA +0p5050%
61
Versatility 61 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp60.850%
Deathp61.350%
17 · PP 42.3% MID 53.8%Leg-spin3126.082359.0450.4
Scout Score 50.4 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay65.442.3%
Middle38.753.8%
Trajectory (econ Δ, all phases)p89.50.92×
42.5
Bowling Production 42.5 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay4w · 8.73 econp6642.3%
Middle3w · 8.93 econp2453.8%
55.3
Quality 55.3 = false-shots induced (PP+Mid)
False-shot · Powerplay32%p79.7
False-shot · Middle20%p36.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5042.3%
MiddleWPA +0p5053.8%
38.5
Versatility 38.5 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp58.842.3%
Middlep22.553.8%
18 · PP 60% MID 20% DEATH 20%RA pace3010.03828.250.3
Scout Score 50.3 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay49.660%
Middle49.820%
Death52.920%
Trajectory (econ Δ, all phases)p54.7
52.5
Bowling Production 52.5 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 7.67 econp52.460%
Middle1w · 8.5 econp54.220%
Death1w · 9.5 econp51.220%
38.5
Quality 38.5 = false-shots induced (PP+Mid)
False-shot · Powerplay25%p35.9
False-shot · Middle17%p46.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5060%
MiddleWPA +0p5020%
DeathWPA +0p5020%
51.6
Versatility 51.6 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp53.460%
Middlep36.220%
Deathp61.320%
19 · PP 45.9% MID 17.2% DEATH 36.8%RA pace2234.5183439.8549.7
Scout Score 49.7 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay42.745.9%
Middle77.717.2%
Death45.336.8%
Trajectory (econ Δ, all phases)p68.6
45.4
Bowling Production 45.4 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay5w · 11.12 econp33.845.9%
Middle4w · 5 econp93.217.2%
Death9w · 10.52 econp37.736.8%
60.8
Quality 60.8 = false-shots induced (PP+Mid)
False-shot · Powerplay26%p48.4
False-shot · Middle39%p93.8
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5045.9%
MiddleWPA +0p5017.2%
DeathWPA +0p5036.8%
38.9
Versatility 38.9 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp22.545.9%
Middlep73.817.2%
Deathp4336.8%
20 · PP 40.9% MID 31.8% DEATH 27.3%RA pace2022.0101868.4549.5
Scout Score 49.5 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay30.640.9%
Middle65.531.8%
Death59.327.3%
Trajectory (econ Δ, all phases)p17.41.15×
55.9
Bowling Production 55.9 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay2w · 10.89 econp24.840.9%
Middle2w · 5.43 econp75.131.8%
Death6w · 8.33 econp80.227.3%
54.6
Quality 54.6 = false-shots induced (PP+Mid)
False-shot · Powerplay22%p20.3
False-shot · Middle40%p98.8
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5040.9%
MiddleWPA +0p5031.8%
DeathWPA +0p5027.3%
43.9
Versatility 43.9 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp28.840.9%
Middlep65.631.8%
Deathp41.327.3%
21 · PP 46.2% MID 53.8%SLA orthodox2426.051957.549.1
Scout Score 49.1 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay54.546.2%
Middle44.553.8%
Trajectory (econ Δ, all phases)p15.11.16×
50.5
Bowling Production 50.5 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay3w · 7.42 econp66.746.2%
Middle2w · 7.57 econp36.653.8%
62.2
Quality 62.2 = false-shots induced (PP+Mid)
False-shot · Powerplay26%p51.6
False-shot · Middle25%p71.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5046.2%
MiddleWPA +0p5053.8%
55.8
Versatility 55.8 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp64.146.2%
Middlep48.853.8%
22 · PP 8.8% MID 35.3% DEATH 55.9%RA pace22.4122149.4448.9
Scout Score 48.9 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay26.38.8%
Middle66.335.3%
Death41.455.9%
Trajectory (econ Δ, all phases)p3.51.27×
58
Bowling Production 58 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 16 econp16.48.8%
Middle5w · 6.38 econp83.935.3%
Death7w · 10.34 econp48.155.9%
72
Quality 72 = false-shots induced (PP+Mid)
False-shot · Powerplay17%p25
False-shot · Middle31%p83.8
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p508.8%
MiddleWPA +0p5035.3%
DeathWPA +0p5055.9%
48.8
Versatility 48.8 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp258.8%
Middlep7535.3%
Deathp36.155.9%
23 · MID 88.9%SLA orthodox279.0172848.8
Scout Score 48.8 = Σ(phase score × deployment)
Phasescoredeploy
Middle48.888.9%
Trajectory (econ Δ, all phases)p94.20.85×
44.6
Bowling Production 44.6 = Σ(phase × deployment)
Phaselineproddeploy
Middle1w · 6.62 econp44.688.9%
23.8
Quality 23.8 = false-shots induced (PP+Mid)
False-shot · Middle17%p23.8
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +0p5088.9%
52.5
Versatility 52.5 = Σ(phase × deployment)
Phaseversdeploy
Middlep52.588.9%
24 · PP 38.5% MID 51.3% DEATH 10.3%SLA orthodox2739.0103308.4648.1
Scout Score 48.1 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay59.638.5%
Middle40.151.3%
Death45.310.3%
Trajectory (econ Δ, all phases)p73.30.99×
46.3
Bowling Production 46.3 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay3w · 6.93 econp62.738.5%
Middle6w · 9.1 econp35.651.3%
Death1w · 11 econp38.210.3%
45.4
Quality 45.4 = false-shots induced (PP+Mid)
False-shot · Powerplay28%p60.9
False-shot · Middle20%p33.8
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5038.5%
MiddleWPA +0p5051.3%
DeathWPA +0p5010.3%
33.3
Versatility 33.3 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp58.138.5%
Middlep13.851.3%
Deathp37.510.3%
25 · PP 34.3% MID 57.1%SLA orthodox2317.351468.3447.8
Scout Score 47.8 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay35.334.3%
Middle55.257.1%
Trajectory (econ Δ, all phases)p19.81.14×
59.8
Bowling Production 59.8 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay2w · 11.17 econp39.734.3%
Middle3w · 6.4 econp71.857.1%
28.3
Quality 28.3 = false-shots induced (PP+Mid)
False-shot · Powerplay11%p10.9
False-shot · Middle20%p38.8
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5034.3%
MiddleWPA +0p5057.1%
51.3
Versatility 51.3 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp30.634.3%
Middlep63.857.1%
26 · PP 50% MID 33.3%RA pace266.036510.8347.6
Scout Score 47.6 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay41.650%
Middle56.733.3%
Trajectory (econ Δ, all phases)p54.7
49.2
Bowling Production 49.2 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 12.67 econp37.650%
Middle1w · 7 econp66.633.3%
38.2
Quality 38.2 = false-shots induced (PP+Mid)
False-shot · Powerplay22%p32.8
False-shot · Middle17%p46.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5050%
MiddleWPA +0p5033.3%
41.9
Versatility 41.9 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp34.150%
Middlep53.833.3%
27 · PP 52.7% DEATH 40.7%RA pace2415.161399.1647
Scout Score 47 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay42.852.7%
Death52.540.7%
Trajectory (econ Δ, all phases)p5.81.23×
50.8
Bowling Production 50.8 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay2w · 9.88 econp40.952.7%
Death3w · 9.41 econp63.640.7%
57.8
Quality 57.8 = false-shots induced (PP+Mid)
False-shot · Powerplay27%p57.8
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5052.7%
DeathWPA +0p5040.7%
51
Versatility 51 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp4552.7%
Deathp58.740.7%
28 · PP 19.5% MID 77.9%SLA orthodox2425.432078.0646.6
Scout Score 46.6 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay2719.5%
Middle51.577.9%
Trajectory (econ Δ, all phases)p96.50.81×
38.6
Bowling Production 38.6 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 13.2 econp4.719.5%
Middle3w · 6.7 econp47.177.9%
13.9
Quality 13.9 = false-shots induced (PP+Mid)
False-shot · Powerplay7%p4.7
False-shot · Middle18%p16.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5019.5%
MiddleWPA +0p5077.9%
62.8
Versatility 62.8 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp14.119.5%
Middlep7577.9%
29 · PP 23.5% MID 35.3% DEATH 41.2%RA pace2617.0717110.0646.4
Scout Score 46.4 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay62.523.5%
Middle47.435.3%
Death36.341.2%
Trajectory (econ Δ, all phases)p40.7
38.8
Bowling Production 38.8 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay3w · 8.5 econp66.523.5%
Middle1w · 7.67 econp40.335.3%
Death3w · 13 econp21.641.2%
72.4
Quality 72.4 = false-shots induced (PP+Mid)
False-shot · Powerplay42%p89.1
False-shot · Middle22%p61.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5023.5%
MiddleWPA +0p5035.3%
DeathWPA +0p5041.2%
56.7
Versatility 56.7 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp62.523.5%
Middlep52.535.3%
Deathp5741.2%
30 · PP 46.2% DEATH 42.3%LA pace368.40849.6945.5
Scout Score 45.5 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay36.346.2%
Death55.542.3%
Trajectory (econ Δ, all phases)p54.7
36.9
Bowling Production 36.9 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 10 econp2146.2%
Death0w · 8.73 econp54.342.3%
39.1
Quality 39.1 = false-shots induced (PP+Mid)
False-shot · Powerplay25%p39.1
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5046.2%
DeathWPA +0p5042.3%
51.2
Versatility 51.2 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp34.746.2%
Deathp69.142.3%
31 · MID 81.1% DEATH 18.9%RA pace1912.2612810.3845.2
Scout Score 45.2 = Σ(phase score × deployment)
Phasescoredeploy
Middle48.181.1%
Death32.718.9%
Trajectory (econ Δ, all phases)p31.41.07×
45.4
Bowling Production 45.4 = Σ(phase × deployment)
Phaselineproddeploy
Middle5w · 8.9 econp50.481.1%
Death1w · 16.71 econp24.118.9%
68.8
Quality 68.8 = false-shots induced (PP+Mid)
False-shot · Middle25%p68.8
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +0p5081.1%
DeathWPA +0p5018.9%
26.4
Versatility 26.4 = Σ(phase × deployment)
Phaseversdeploy
Middlep2581.1%
Deathp32.618.9%
32 · MID 80%RA pace235.02469.245.2
Scout Score 45.2 = Σ(phase score × deployment)
Phasescoredeploy
Middle45.280%
Trajectory (econ Δ, all phases)p54.7
37.5
Bowling Production 37.5 = Σ(phase × deployment)
Phaselineproddeploy
Middle1w · 9.25 econp37.580%
52.5
Quality 52.5 = false-shots induced (PP+Mid)
False-shot · Middle21%p52.5
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +0p5080%
42.5
Versatility 42.5 = Σ(phase × deployment)
Phaseversdeploy
Middlep42.580%
33 · PP 33.3% MID 61.9%Off-spin3021.0721610.2944.6
Scout Score 44.6 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay4733.3%
Middle43.261.9%
Trajectory (econ Δ, all phases)p87.20.93×
37.3
Bowling Production 37.3 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay2w · 10.71 econp36.833.3%
Middle5w · 9.85 econp37.661.9%
42.6
Quality 42.6 = false-shots induced (PP+Mid)
False-shot · Powerplay26%p45.3
False-shot · Middle20%p41.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5033.3%
MiddleWPA +0p5061.9%
22.3
Versatility 22.3 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp40.633.3%
Middlep12.561.9%
34 · MID 87.5%SLA orthodox8.02749.2544.4
Scout Score 44.4 = Σ(phase score × deployment)
Phasescoredeploy
Middle44.487.5%
Trajectory (econ Δ, all phases)p54.7
51.3
Bowling Production 51.3 = Σ(phase × deployment)
Phaselineproddeploy
Middle2w · 7.86 econp51.387.5%
11.2
Quality 11.2 = false-shots induced (PP+Mid)
False-shot · Middle14%p11.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +0p5087.5%
43.8
Versatility 43.8 = Σ(phase × deployment)
Phaseversdeploy
Middlep43.887.5%
35 · PP 15% MID 51% DEATH 34%LA pace2433.282828.4644.4
Scout Score 44.4 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay44.815%
Middle37.651%
Death54.434%
Trajectory (econ Δ, all phases)p8.11.18×
42.2
Bowling Production 42.2 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 9.2 econp4015%
Middle2w · 8.06 econp2251%
Death5w · 8.74 econp73.534%
75.2
Quality 75.2 = false-shots induced (PP+Mid)
False-shot · Powerplay33%p71.9
False-shot · Middle26%p76.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5015%
MiddleWPA +0p5051%
DeathWPA +0p5034%
38.7
Versatility 38.7 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp44.715%
Middlep37.551%
Deathp37.834%
36 · PP 42.3% MID 16.9% DEATH 40.8%RA pace2823.4925210.6544
Scout Score 44 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay50.742.3%
Middle45.616.9%
Death36.440.8%
Trajectory (econ Δ, all phases)p33.71.06×
38.1
Bowling Production 38.1 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay3w · 9.1 econp53.742.3%
Middle1w · 10.25 econp33.116.9%
Death5w · 12.41 econp24.140.8%
62.3
Quality 62.3 = false-shots induced (PP+Mid)
False-shot · Powerplay27%p54.7
False-shot · Middle33%p81.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5042.3%
MiddleWPA +0p5016.9%
DeathWPA +0p5040.8%
51.7
Versatility 51.7 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp52.542.3%
Middlep41.216.9%
Deathp55.240.8%
37 · PP 52.6% DEATH 36.8%RA pace309.319710.2143.5
Scout Score 43.5 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay46.452.6%
Death39.436.8%
Trajectory (econ Δ, all phases)p54.7
33.3
Bowling Production 33.3 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 8.8 econp34.152.6%
Death1w · 12.86 econp32.136.8%
71.9
Quality 71.9 = false-shots induced (PP+Mid)
False-shot · Powerplay33%p71.9
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5052.6%
DeathWPA +0p5036.8%
34.9
Versatility 34.9 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp36.652.6%
Deathp32.636.8%
38 · PP 20% MID 60% DEATH 20%RA pace10.011001041.9
Scout Score 41.9 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay39.420%
Middle47.960%
Death26.420%
Trajectory (econ Δ, all phases)p26.71.07×
38
Bowling Production 38 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 8.5 econp38.620%
Middle1w · 7.33 econp46.560%
Death0w · 19.5 econp1220%
52.2
Quality 52.2 = false-shots induced (PP+Mid)
False-shot · Powerplay17%p25
False-shot · Middle22%p61.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5020%
MiddleWPA +0p5060%
DeathWPA +0p5020%
45.9
Versatility 45.9 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp48.620%
Middlep49.460%
Deathp32.620%
39 · PP 61.1% MID 11.1% DEATH 27.8%RA pace2518.031558.6140.9
Scout Score 40.9 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay31.661.1%
Middle37.611.1%
Death62.727.8%
Trajectory (econ Δ, all phases)p1.21.42×
37.5
Bowling Production 37.5 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 9.91 econp16.961.1%
Middle0w · 8.5 econp35.211.1%
Death3w · 5.8 econp8427.8%
61.3
Quality 61.3 = false-shots induced (PP+Mid)
False-shot · Powerplay29%p64.1
False-shot · Middle17%p46.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5061.1%
MiddleWPA +0p5011.1%
DeathWPA +0p5027.8%
34.5
Versatility 34.5 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp2061.1%
Middlep38.811.1%
Deathp64.827.8%
40 · MID 100%SLA orthodox215.01438.640.9
Scout Score 40.9 = Σ(phase score × deployment)
Phasescoredeploy
Middle40.9100%
Trajectory (econ Δ, all phases)p54.7
35.7
Bowling Production 35.7 = Σ(phase × deployment)
Phaselineproddeploy
Middle1w · 8.6 econp35.7100%
31.2
Quality 31.2 = false-shots induced (PP+Mid)
False-shot · Middle17%p31.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +0p50100%
38.8
Versatility 38.8 = Σ(phase × deployment)
Phaseversdeploy
Middlep38.8100%
41 · PP 14.8% MID 81.5%SLA orthodox2827.082258.3339.7
Scout Score 39.7 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay65.814.8%
Middle3581.5%
Trajectory (econ Δ, all phases)p98.80.77×
31.8
Bowling Production 31.8 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay4w · 6.5 econp7914.8%
Middle4w · 8.41 econp23.281.5%
5.6
Quality 5.6 = false-shots induced (PP+Mid)
False-shot · Powerplay21%p29.7
False-shot · Middle9%p1.2
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0p5014.8%
MiddleWPA +0p5081.5%
37.5
Versatility 37.5 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp78.914.8%
Middlep3081.5%
42 · MID 70% DEATH 30%LA pace2610.021001038.2
Scout Score 38.2 = Σ(phase score × deployment)
Phasescoredeploy
Middle40.470%
Death3330%
Trajectory (econ Δ, all phases)p54.7
30.9
Bowling Production 30.9 = Σ(phase × deployment)
Phaselineproddeploy
Middle1w · 7.57 econp38.670%
Death1w · 15.67 econp1330%
8.8
Quality 8.8 = false-shots induced (PP+Mid)
False-shot · Middle12%p8.8
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +0p5070%
DeathWPA +0p5030%
53.1
Versatility 53.1 = Σ(phase × deployment)
Phaseversdeploy
Middlep53.870%
Deathp51.730%
43 · MID 92.3%Off-spin2113.02987.5434.5
Scout Score 34.5 = Σ(phase score × deployment)
Phasescoredeploy
Middle34.592.3%
Trajectory (econ Δ, all phases)p38.41.05×
30.8
Bowling Production 30.8 = Σ(phase × deployment)
Phaselineproddeploy
Middle1w · 7.75 econp30.892.3%
3.8
Quality 3.8 = false-shots induced (PP+Mid)
False-shot · Middle12%p3.8
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +0p5092.3%
48.8
Versatility 48.8 = Σ(phase × deployment)
Phaseversdeploy
Middlep48.892.3%
44 · MID 100%SLA orthodox226.016711.1730
Scout Score 30 = Σ(phase score × deployment)
Phasescoredeploy
Middle30100%
Trajectory (econ Δ, all phases)p54.7
15.9
Bowling Production 15.9 = Σ(phase × deployment)
Phaselineproddeploy
Middle1w · 11.17 econp15.9100%
28.8
Quality 28.8 = false-shots induced (PP+Mid)
False-shot · Middle17%p28.8
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +0p50100%
13.8
Versatility 13.8 = Σ(phase × deployment)
Phaseversdeploy
Middlep13.8100%
45 · MID 45.5% DEATH 54.5%RA pace2111.011321226.7
Scout Score 26.7 = Σ(phase score × deployment)
Phasescoredeploy
Middle27.845.5%
Death25.954.5%
Trajectory (econ Δ, all phases)p24.41.08×
10.6
Bowling Production 10.6 = Σ(phase × deployment)
Phaselineproddeploy
Middle0w · 9.2 econp16.545.5%
Death1w · 14.33 econp5.654.5%
13.8
Quality 13.8 = false-shots induced (PP+Mid)
False-shot · Middle13%p13.8
50
Impact 50 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +0p5045.5%
DeathWPA +0p5054.5%
45.3
Versatility 45.3 = Σ(phase × deployment)
Phaseversdeploy
Middlep37.545.5%
Deathp51.754.5%
#BowlerTypeAgeOversWktsRunsEconProdQualImpactVers
1 · 23.1% of his oversRA pace288.03536.6284.6
Phase Production 84.6 vs all bowlers · n=32
KPIvaluepctshare
True economy0.781× parp85.936.8%
Wicket rate0.37/ovp79.742.1%
Boundary %12%p92.221.1%
85.9
Quality 85.9 = false-shots induced
False-shot %35%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
72.8
Versatility 72.8 = Σ(pct × share)
Econ vs RHBp60.930%
Econ vs LHBp92.230%
Wkt vs RHBp70.320%
Wkt vs LHBp64.120%
2 · 37.7% of his oversRA pace2211.03565.0982.6
Phase Production 82.6 vs all bowlers · n=32
KPIvaluepctshare
True economy0.6× parp98.436.8%
Wicket rate0.27/ovp60.942.1%
Boundary %8%p98.421.1%
95.3
Quality 95.3 = false-shots induced
False-shot %39%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
75.6
Versatility 75.6 = Σ(pct × share)
Econ vs RHBp95.330%
Econ vs LHBp82.830%
Wkt vs RHBp46.920%
Wkt vs LHBp64.120%
3 · 36.6% of his oversLA pace2715.071137.5381.7
Phase Production 81.7 vs all bowlers · n=32
KPIvaluepctshare
True economy0.888× parp79.736.8%
Wicket rate0.47/ovp92.242.1%
Boundary %19%p64.121.1%
67.2
Quality 67.2 = false-shots induced
False-shot %29%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
77.2
Versatility 77.2 = Σ(pct × share)
Econ vs RHBp89.130%
Econ vs LHBp45.330%
Wkt vs RHBp89.120%
Wkt vs LHBp95.320%
4 · 14.8% of his oversSLA orthodox284.04266.579
Phase Production 79 vs all bowlers · n=32
KPIvaluepctshare
True economy0.767× parp67.236.8%
Wicket rate1.00/ovp98.442.1%
Boundary %17%p60.921.1%
29.7
Quality 29.7 = false-shots induced
False-shot %21%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
78.9
Versatility 78.9 = Σ(pct × share)
Econ vs RHBp7530%
Econ vs LHBp60.930%
Wkt vs RHBp98.420%
Wkt vs LHBp92.220%
5 · 52.4% of his oversRA pace2511.04837.5575.6
Phase Production 75.6 vs all bowlers · n=32
KPIvaluepctshare
True economy0.89× parp70.336.8%
Wicket rate0.37/ovp84.442.1%
Boundary %17%p67.221.1%
92.2
Quality 92.2 = false-shots induced
False-shot %35%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
70.9
Versatility 70.9 = Σ(pct × share)
Econ vs RHBp57.830%
Econ vs LHBp89.130%
Wkt vs RHBp82.820%
Wkt vs LHBp51.620%
6 · 51.3% of his oversSLA orthodox3617.04102673.6
Phase Production 73.6 vs all bowlers · n=32
KPIvaluepctshare
True economy0.708× parp95.336.8%
Wicket rate0.23/ovp48.442.1%
Boundary %16%p85.921.1%
17.2
Quality 17.2 = false-shots induced
False-shot %22%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
58.4
Versatility 58.4 = Σ(pct × share)
Econ vs RHBp98.430%
Econ vs LHBp35.930%
Wkt vs RHBp20.320%
Wkt vs LHBp70.320%
7 · 46.2% of his oversSLA orthodox2412.03897.4266.7
Phase Production 66.7 vs all bowlers · n=32
KPIvaluepctshare
True economy0.875× parp76.636.8%
Wicket rate0.25/ovp54.742.1%
Boundary %17%p73.421.1%
51.6
Quality 51.6 = false-shots induced
False-shot %26%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
64.1
Versatility 64.1 = Σ(pct × share)
Econ vs RHBp82.830%
Econ vs LHBp64.130%
Wkt vs RHBp1.620%
Wkt vs LHBp98.420%
8 · 23.5% of his oversRA pace264.03348.566.5
Phase Production 66.5 vs all bowlers · n=32
KPIvaluepctshare
True economy1.002× parp54.736.8%
Wicket rate0.75/ovp95.342.1%
Boundary %25%p29.721.1%
89.1
Quality 89.1 = false-shots induced
False-shot %42%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
62.5
Versatility 62.5 = Σ(pct × share)
Econ vs RHBp67.230%
Econ vs LHBp20.330%
Wkt vs RHBp92.220%
Wkt vs LHBp89.120%
9 · 42.3% of his oversLeg-spin3111.04968.7366
Phase Production 66 vs all bowlers · n=32
KPIvaluepctshare
True economy1.029× parp51.636.8%
Wicket rate0.37/ovp84.442.1%
Boundary %21%p54.721.1%
79.7
Quality 79.7 = false-shots induced
False-shot %32%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
58.8
Versatility 58.8 = Σ(pct × share)
Econ vs RHBp48.430%
Econ vs LHBp54.730%
Wkt vs RHBp64.120%
Wkt vs LHBp7520%
10 · 62.5% of his oversOff-spin2420.041246.265.2
Phase Production 65.2 vs all bowlers · n=32
KPIvaluepctshare
True economy0.731× parp92.236.8%
Wicket rate0.20/ovp26.642.1%
Boundary %12%p95.321.1%
76.6
Quality 76.6 = false-shots induced
False-shot %30%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
70.9
Versatility 70.9 = Σ(pct × share)
Econ vs RHBp85.930%
Econ vs LHBp98.430%
Wkt vs RHBp76.620%
Wkt vs LHBp1.620%
11 · 30% of his oversRA pace316.03538.8363.2
Phase Production 63.2 vs all bowlers · n=32
KPIvaluepctshare
True economy1.042× parp42.236.8%
Wicket rate0.50/ovp89.142.1%
Boundary %22%p48.421.1%
82.8
Quality 82.8 = false-shots induced
False-shot %36%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
55.3
Versatility 55.3 = Σ(pct × share)
Econ vs RHBp35.930%
Econ vs LHBp73.430%
Wkt vs RHBp95.320%
Wkt vs LHBp17.220%
12 · 38.5% of his oversSLA orthodox2715.031046.9362.7
Phase Production 62.7 vs all bowlers · n=32
KPIvaluepctshare
True economy0.818× parp89.136.8%
Wicket rate0.20/ovp29.742.1%
Boundary %16%p82.821.1%
60.9
Quality 60.9 = false-shots induced
False-shot %28%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
58.1
Versatility 58.1 = Σ(pct × share)
Econ vs RHBp92.230%
Econ vs LHBp57.830%
Wkt vs RHBp60.920%
Wkt vs LHBp4.720%
13 · 50% of his oversRA pace212.0073.555.8
Phase Production 55.8 vs all bowlers · n=32
KPIvaluepctshare
True economy0.413× parp82.836.8%
Wicket rate0.00/ovp20.342.1%
Boundary %0%p79.721.1%
42.2
Quality 42.2 = false-shots induced
False-shot %25%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
60.8
Versatility 60.8 = Σ(pct × share)
Econ vs RHBp79.730%
Econ vs LHBp68.830%
Wkt vs RHBp37.520%
Wkt vs LHBp43.820%
14 · 55.8% of his oversRA pace2521.051718.1454.9
Phase Production 54.9 vs all bowlers · n=32
KPIvaluepctshare
True economy0.96× parp64.136.8%
Wicket rate0.24/ovp51.642.1%
Boundary %22%p45.321.1%
98.4
Quality 98.4 = false-shots induced
False-shot %41%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
57.8
Versatility 57.8 = Σ(pct × share)
Econ vs RHBp45.330%
Econ vs LHBp95.330%
Wkt vs RHBp57.820%
Wkt vs LHBp20.320%
15 · 42.3% of his oversRA pace2810.03919.153.7
Phase Production 53.7 vs all bowlers · n=32
KPIvaluepctshare
True economy1.073× parp35.936.8%
Wicket rate0.30/ovp70.342.1%
Boundary %22%p51.621.1%
54.7
Quality 54.7 = false-shots induced
False-shot %27%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
52.5
Versatility 52.5 = Σ(pct × share)
Econ vs RHBp14.130%
Econ vs LHBp79.730%
Wkt vs RHBp46.920%
Wkt vs LHBp7520%
16 · 60% of his oversRA pace306.01467.6752.4
Phase Production 52.4 vs all bowlers · n=32
KPIvaluepctshare
True economy0.904× parp60.936.8%
Wicket rate0.17/ovp32.842.1%
Boundary %14%p76.621.1%
35.9
Quality 35.9 = false-shots induced
False-shot %25%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
53.4
Versatility 53.4 = Σ(pct × share)
Econ vs RHBp42.230%
Econ vs LHBp85.930%
Wkt vs RHBp51.620%
Wkt vs LHBp23.420%
17 · 21.2% of his oversOff-spin247.01507.1451.7
Phase Production 51.7 vs all bowlers · n=32
KPIvaluepctshare
True economy0.842× parp73.436.8%
Wicket rate0.14/ovp14.142.1%
Boundary %12%p89.121.1%
1.6
Quality 1.6 = false-shots induced
False-shot %7%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
61.7
Versatility 61.7 = Σ(pct × share)
Econ vs RHBp7530%
Econ vs LHBp76.630%
Wkt vs RHBp23.420%
Wkt vs LHBp57.820%
18 · 32.3% of his oversSLA orthodox2210.02838.343.3
Phase Production 43.3 vs all bowlers · n=32
KPIvaluepctshare
True economy0.979× parp57.836.8%
Wicket rate0.20/ovp35.942.1%
Boundary %23%p32.821.1%
7.8
Quality 7.8 = false-shots induced
False-shot %15%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
45.6
Versatility 45.6 = Σ(pct × share)
Econ vs RHBp70.330%
Econ vs LHBp17.230%
Wkt vs RHBp10.920%
Wkt vs LHBp85.920%
19 · 52.7% of his oversRA pace248.02799.8840.9
Phase Production 40.9 vs all bowlers · n=32
KPIvaluepctshare
True economy1.165× parp29.736.8%
Wicket rate0.25/ovp57.842.1%
Boundary %25%p26.621.1%
57.8
Quality 57.8 = false-shots induced
False-shot %27%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
45
Versatility 45 = Σ(pct × share)
Econ vs RHBp26.630%
Econ vs LHBp48.430%
Wkt vs RHBp29.720%
Wkt vs LHBp82.820%
20 · 15% of his oversLA pace245.01469.240
Phase Production 40 vs all bowlers · n=32
KPIvaluepctshare
True economy1.085× parp39.136.8%
Wicket rate0.20/ovp40.642.1%
Boundary %23%p40.621.1%
71.9
Quality 71.9 = false-shots induced
False-shot %33%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
44.7
Versatility 44.7 = Σ(pct × share)
Econ vs RHBp54.730%
Econ vs LHBp23.430%
Wkt vs RHBp26.620%
Wkt vs LHBp79.720%
21 · 34.3% of his oversSLA orthodox236.026711.1739.7
Phase Production 39.7 vs all bowlers · n=32
KPIvaluepctshare
True economy1.317× parp14.136.8%
Wicket rate0.34/ovp73.442.1%
Boundary %31%p17.221.1%
10.9
Quality 10.9 = false-shots induced
False-shot %11%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
30.6
Versatility 30.6 = Σ(pct × share)
Econ vs RHBp7.830%
Econ vs LHBp29.730%
Wkt vs RHBp67.220%
Wkt vs LHBp29.720%
22 · 20% of his oversRA pace2.00178.538.6
Phase Production 38.6 vs all bowlers · n=32
KPIvaluepctshare
True economy1.002× parp48.436.8%
Wicket rate0.00/ovp20.342.1%
Boundary %17%p57.821.1%
25
Quality 25 = false-shots induced
False-shot %17%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
48.6
Versatility 48.6 = Σ(pct × share)
Econ vs RHBp39.130%
Econ vs LHBp68.830%
Wkt vs RHBp37.520%
Wkt vs LHBp43.820%
23 · 50% of his oversRA pace263.013812.6737.6
Phase Production 37.6 vs all bowlers · n=32
KPIvaluepctshare
True economy1.494× parp17.236.8%
Wicket rate0.34/ovp67.242.1%
Boundary %39%p14.121.1%
32.8
Quality 32.8 = false-shots induced
False-shot %22%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
34.1
Versatility 34.1 = Σ(pct × share)
Econ vs RHBp20.330%
Econ vs LHBp26.630%
Wkt vs RHBp73.420%
Wkt vs LHBp26.620%
24 · 33.3% of his oversOff-spin307.027510.7136.8
Phase Production 36.8 vs all bowlers · n=32
KPIvaluepctshare
True economy1.264× parp20.336.8%
Wicket rate0.29/ovp64.142.1%
Boundary %31%p10.921.1%
45.3
Quality 45.3 = false-shots induced
False-shot %26%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
40.6
Versatility 40.6 = Σ(pct × share)
Econ vs RHBp4.730%
Econ vs LHBp51.630%
Wkt vs RHBp54.720%
Wkt vs LHBp64.120%
25 · 16.7% of his oversOff-spin295.015310.635.4
Phase Production 35.4 vs all bowlers · n=32
KPIvaluepctshare
True economy1.25× parp26.636.8%
Wicket rate0.20/ovp40.642.1%
Boundary %23%p40.621.1%
14.1
Quality 14.1 = false-shots induced
False-shot %13%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
39.4
Versatility 39.4 = Σ(pct × share)
Econ vs RHBp64.130%
Econ vs LHBp4.730%
Wkt vs RHBp79.720%
Wkt vs LHBp14.120%
26 · 52.6% of his oversRA pace305.00448.834.1
Phase Production 34.1 vs all bowlers · n=32
KPIvaluepctshare
True economy1.038× parp45.336.8%
Wicket rate0.00/ovp6.242.1%
Boundary %13%p70.321.1%
71.9
Quality 71.9 = false-shots induced
False-shot %33%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
36.6
Versatility 36.6 = Σ(pct × share)
Econ vs RHBp51.630%
Econ vs LHBp39.130%
Wkt vs RHBp14.120%
Wkt vs LHBp32.820%
27 · 45.9% of his oversRA pace2216.0517811.1233.8
Phase Production 33.8 vs all bowlers · n=32
KPIvaluepctshare
True economy1.312× parp1.636.8%
Wicket rate0.31/ovp76.642.1%
Boundary %28%p4.721.1%
48.4
Quality 48.4 = false-shots induced
False-shot %26%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
22.5
Versatility 22.5 = Σ(pct × share)
Econ vs RHBp10.930%
Econ vs LHBp1.630%
Wkt vs RHBp85.920%
Wkt vs LHBp7.820%
28 · 40.9% of his oversRA pace209.029810.8924.8
Phase Production 24.8 vs all bowlers · n=32
KPIvaluepctshare
True economy1.284× parp10.936.8%
Wicket rate0.22/ovp45.342.1%
Boundary %30%p7.821.1%
20.3
Quality 20.3 = false-shots induced
False-shot %22%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
28.8
Versatility 28.8 = Σ(pct × share)
Econ vs RHBp29.730%
Econ vs LHBp7.830%
Wkt vs RHBp32.820%
Wkt vs LHBp54.720%
29 · 46.2% of his oversLA pace364.00401021
Phase Production 21 vs all bowlers · n=32
KPIvaluepctshare
True economy1.179× parp32.836.8%
Wicket rate0.00/ovp10.942.1%
Boundary %33%p20.321.1%
39.1
Quality 39.1 = false-shots induced
False-shot %25%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
34.7
Versatility 34.7 = Σ(pct × share)
Econ vs RHBp32.830%
Econ vs LHBp42.230%
Wkt vs RHBp17.220%
Wkt vs LHBp43.820%
30 · 61.1% of his oversRA pace2511.001099.9116.9
Phase Production 16.9 vs all bowlers · n=32
KPIvaluepctshare
True economy1.169× parp23.436.8%
Wicket rate0.00/ovp1.642.1%
Boundary %23%p35.921.1%
64.1
Quality 64.1 = false-shots induced
False-shot %29%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
20
Versatility 20 = Σ(pct × share)
Econ vs RHBp23.430%
Econ vs LHBp32.830%
Wkt vs RHBp4.720%
Wkt vs LHBp10.920%
31 · 8.8% of his oversRA pace2.00321616.4
Phase Production 16.4 vs all bowlers · n=32
KPIvaluepctshare
True economy1.887× parp7.836.8%
Wicket rate0.00/ovp20.342.1%
Boundary %42%p23.421.1%
25
Quality 25 = false-shots induced
False-shot %17%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
25
Versatility 25 = Σ(pct × share)
Econ vs RHBp17.230%
Econ vs LHBp14.130%
Wkt vs RHBp42.220%
Wkt vs LHBp35.920%
32 · 19.5% of his oversSLA orthodox245.006613.24.7
Phase Production 4.7 vs all bowlers · n=32
KPIvaluepctshare
True economy1.557× parp4.736.8%
Wicket rate0.00/ovp6.242.1%
Boundary %37%p1.621.1%
4.7
Quality 4.7 = false-shots induced
False-shot %7%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
14.1
Versatility 14.1 = Σ(pct × share)
Econ vs RHBp1.630%
Econ vs LHBp10.930%
Wkt vs RHBp7.820%
Wkt vs LHBp43.820%
#BowlerTypeAgeOversWktsRunsEconProdQualImpactVers
1 · 17.2% of his oversRA pace226.0430593.2
Phase Production 93.2 vs all bowlers · n=40
KPIvaluepctshare
True economy0.668× parp91.244.1%
Wicket rate0.67/ovp96.244.1%
Boundary %6%p88.811.8%
93.8
Quality 93.8 = false-shots induced
False-shot %39%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
73.8
Versatility 73.8 = Σ(pct × share)
Econ vs RHBp96.250%
Econ vs LHBp51.250%
2 · 61.3% of his oversSLA orthodox2219.061065.5886
Phase Production 86 vs all bowlers · n=40
KPIvaluepctshare
True economy0.745× parp98.844.1%
Wicket rate0.32/ovp71.244.1%
Boundary %8%p93.811.8%
66.2
Quality 66.2 = false-shots induced
False-shot %23%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
88.8
Versatility 88.8 = Σ(pct × share)
Econ vs RHBp98.850%
Econ vs LHBp78.850%
3 · 100% of his oversSLA orthodox224.0220584.6
Phase Production 84.6 vs all bowlers · n=40
KPIvaluepctshare
True economy0.668× parp83.844.1%
Wicket rate0.50/ovp8544.1%
Boundary %4%p86.211.8%
21.2
Quality 21.2 = false-shots induced
False-shot %12%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
63.8
Versatility 63.8 = Σ(pct × share)
Econ vs RHBp81.250%
Econ vs LHBp46.250%
4 · 35.3% of his oversRA pace8.05516.3883.9
Phase Production 83.9 vs all bowlers · n=40
KPIvaluepctshare
True economy0.851× parp73.844.1%
Wicket rate0.62/ovp98.844.1%
Boundary %10%p66.211.8%
83.8
Quality 83.8 = false-shots induced
False-shot %31%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
75
Versatility 75 = Σ(pct × share)
Econ vs RHBp63.850%
Econ vs LHBp86.250%
5 · 66.7% of his oversOff-spin2422.06132678.6
Phase Production 78.6 vs all bowlers · n=40
KPIvaluepctshare
True economy0.801× parp93.844.1%
Wicket rate0.27/ovp58.844.1%
Boundary %7%p96.211.8%
86.2
Quality 86.2 = false-shots induced
False-shot %28%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
83.8
Versatility 83.8 = Σ(pct × share)
Econ vs RHBp71.250%
Econ vs LHBp96.250%
6 · 31.8% of his oversRA pace207.02385.4375.1
Phase Production 75.1 vs all bowlers · n=40
KPIvaluepctshare
True economy0.725× parp88.844.1%
Wicket rate0.29/ovp62.544.1%
Boundary %10%p71.211.8%
98.8
Quality 98.8 = false-shots induced
False-shot %40%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
65.6
Versatility 65.6 = Σ(pct × share)
Econ vs RHBp93.850%
Econ vs LHBp37.550%
7 · 9.8% of his oversLA pace274.02276.7573.7
Phase Production 73.7 vs all bowlers · n=40
KPIvaluepctshare
True economy0.901× parp63.844.1%
Wicket rate0.50/ovp8544.1%
Boundary %8%p68.811.8%
52.5
Quality 52.5 = false-shots induced
False-shot %21%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
58.8
Versatility 58.8 = Σ(pct × share)
Econ vs RHBp33.850%
Econ vs LHBp83.850%
8 · 83.3% of his oversOff-spin2925.061475.8872.3
Phase Production 72.3 vs all bowlers · n=40
KPIvaluepctshare
True economy0.785× parp96.244.1%
Wicket rate0.24/ovp41.244.1%
Boundary %6%p98.811.8%
18.8
Quality 18.8 = false-shots induced
False-shot %19%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
82.5
Versatility 82.5 = Σ(pct × share)
Econ vs RHBp66.250%
Econ vs LHBp98.850%
9 · 57.1% of his oversSLA orthodox2310.03646.471.8
Phase Production 71.8 vs all bowlers · n=40
KPIvaluepctshare
True economy0.854× parp76.244.1%
Wicket rate0.30/ovp66.244.1%
Boundary %10%p76.211.8%
38.8
Quality 38.8 = false-shots induced
False-shot %20%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
63.8
Versatility 63.8 = Σ(pct × share)
Econ vs RHBp86.250%
Econ vs LHBp41.250%
10 · 37.5% of his oversOff-spin2412.03736.0870.3
Phase Production 70.3 vs all bowlers · n=40
KPIvaluepctshare
True economy0.812× parp86.244.1%
Wicket rate0.25/ovp48.844.1%
Boundary %7%p91.211.8%
6.2
Quality 6.2 = false-shots induced
False-shot %14%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
68.8
Versatility 68.8 = Σ(pct × share)
Econ vs RHBp43.850%
Econ vs LHBp93.850%
11 · 100% of his oversOff-spin286.53537.7667
Phase Production 67 vs all bowlers · n=40
KPIvaluepctshare
True economy1.035× parp48.844.1%
Wicket rate0.44/ovp88.844.1%
Boundary %12%p53.811.8%
91.2
Quality 91.2 = false-shots induced
False-shot %34%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
49.4
Versatility 49.4 = Σ(pct × share)
Econ vs RHBp31.250%
Econ vs LHBp67.550%
12 · 33.3% of his oversRA pace262.0114766.6
Phase Production 66.6 vs all bowlers · n=40
KPIvaluepctshare
True economy0.935× parp58.844.1%
Wicket rate0.50/ovp76.244.1%
Boundary %8%p6011.8%
46.2
Quality 46.2 = false-shots induced
False-shot %17%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
53.8
Versatility 53.8 = Σ(pct × share)
Econ vs RHBp53.850%
Econ vs LHBp53.850%
13 · 57.7% of his oversRA pace2820.051427.157.1
Phase Production 57.1 vs all bowlers · n=40
KPIvaluepctshare
True economy0.948× parp66.244.1%
Wicket rate0.25/ovp46.244.1%
Boundary %12%p63.811.8%
88.8
Quality 88.8 = false-shots induced
False-shot %28%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
70.6
Versatility 70.6 = Σ(pct × share)
Econ vs RHBp73.850%
Econ vs LHBp67.550%
14 · 20.6% of his oversRA pace226.01386.3355
Phase Production 55 vs all bowlers · n=40
KPIvaluepctshare
True economy0.846× parp71.244.1%
Wicket rate0.17/ovp32.544.1%
Boundary %8%p78.811.8%
61.2
Quality 61.2 = false-shots induced
False-shot %22%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
70
Versatility 70 = Σ(pct × share)
Econ vs RHBp58.850%
Econ vs LHBp81.250%
15 · 20% of his oversRA pace302.01178.554.2
Phase Production 54.2 vs all bowlers · n=40
KPIvaluepctshare
True economy1.135× parp37.544.1%
Wicket rate0.50/ovp76.244.1%
Boundary %17%p33.811.8%
46.2
Quality 46.2 = false-shots induced
False-shot %17%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
36.2
Versatility 36.2 = Σ(pct × share)
Econ vs RHBp38.850%
Econ vs LHBp33.850%
16 · 60.6% of his oversRA pace2721.041416.7153.9
Phase Production 53.9 vs all bowlers · n=40
KPIvaluepctshare
True economy0.896× parp81.244.1%
Wicket rate0.19/ovp21.244.1%
Boundary %11%p73.811.8%
56.2
Quality 56.2 = false-shots induced
False-shot %22%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
83.8
Versatility 83.8 = Σ(pct × share)
Econ vs RHBp78.850%
Econ vs LHBp88.850%
17 · 87.5% of his oversSLA orthodox7.02557.8651.3
Phase Production 51.3 vs all bowlers · n=40
KPIvaluepctshare
True economy1.049× parp43.844.1%
Wicket rate0.29/ovp62.544.1%
Boundary %14%p37.511.8%
11.2
Quality 11.2 = false-shots induced
False-shot %14%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
43.8
Versatility 43.8 = Σ(pct × share)
Econ vs RHBp41.250%
Econ vs LHBp46.250%
18 · 50% of his oversRA pace212.01199.550.5
Phase Production 50.5 vs all bowlers · n=40
KPIvaluepctshare
True economy1.268× parp31.244.1%
Wicket rate0.50/ovp76.244.1%
Boundary %25%p26.211.8%
73.8
Quality 73.8 = false-shots induced
False-shot %33%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
36.2
Versatility 36.2 = Σ(pct × share)
Econ vs RHBp26.250%
Econ vs LHBp46.250%
19 · 81.1% of his oversRA pace1910.05898.950.4
Phase Production 50.4 vs all bowlers · n=40
KPIvaluepctshare
True economy1.188× parp18.844.1%
Wicket rate0.50/ovp93.844.1%
Boundary %20%p6.211.8%
68.8
Quality 68.8 = false-shots induced
False-shot %25%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
25
Versatility 25 = Σ(pct × share)
Econ vs RHBp23.850%
Econ vs LHBp26.250%
20 · 77.9% of his oversSLA orthodox2420.031346.747.1
Phase Production 47.1 vs all bowlers · n=40
KPIvaluepctshare
True economy0.894× parp78.844.1%
Wicket rate0.15/ovp6.244.1%
Boundary %11%p81.211.8%
16.2
Quality 16.2 = false-shots induced
False-shot %18%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
75
Versatility 75 = Σ(pct × share)
Econ vs RHBp88.850%
Econ vs LHBp61.250%
21 · 60% of his oversRA pace6.01447.3346.5
Phase Production 46.5 vs all bowlers · n=40
KPIvaluepctshare
True economy0.979× parp61.244.1%
Wicket rate0.17/ovp32.544.1%
Boundary %14%p43.811.8%
61.2
Quality 61.2 = false-shots induced
False-shot %22%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
49.4
Versatility 49.4 = Σ(pct × share)
Econ vs RHBp61.250%
Econ vs LHBp37.550%
22 · 13.3% of his oversRA pace255.035110.245.4
Phase Production 45.4 vs all bowlers · n=40
KPIvaluepctshare
True economy1.362× parp8.844.1%
Wicket rate0.60/ovp91.244.1%
Boundary %23%p11.211.8%
96.2
Quality 96.2 = false-shots induced
False-shot %43%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
33.8
Versatility 33.8 = Σ(pct × share)
Econ vs RHBp3.850%
Econ vs LHBp63.850%
23 · 88.9% of his oversSLA orthodox278.01536.6244.6
Phase Production 44.6 vs all bowlers · n=40
KPIvaluepctshare
True economy0.884× parp68.844.1%
Wicket rate0.13/ovp18.844.1%
Boundary %12%p51.211.8%
23.8
Quality 23.8 = false-shots induced
False-shot %17%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
52.5
Versatility 52.5 = Σ(pct × share)
Econ vs RHBp91.250%
Econ vs LHBp13.850%
24 · 35.3% of his oversRA pace266.01467.6740.3
Phase Production 40.3 vs all bowlers · n=40
KPIvaluepctshare
True economy1.024× parp51.244.1%
Wicket rate0.17/ovp32.544.1%
Boundary %17%p28.811.8%
61.2
Quality 61.2 = false-shots induced
False-shot %22%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
52.5
Versatility 52.5 = Σ(pct × share)
Econ vs RHBp28.850%
Econ vs LHBp76.250%
25 · 70% of his oversLA pace267.01537.5738.6
Phase Production 38.6 vs all bowlers · n=40
KPIvaluepctshare
True economy1.011× parp53.844.1%
Wicket rate0.14/ovp23.844.1%
Boundary %14%p37.511.8%
8.8
Quality 8.8 = false-shots induced
False-shot %12%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
53.8
Versatility 53.8 = Σ(pct × share)
Econ vs RHBp51.250%
Econ vs LHBp56.250%
26 · 61.9% of his oversOff-spin3013.051289.8537.6
Phase Production 37.6 vs all bowlers · n=40
KPIvaluepctshare
True economy1.314× parp3.844.1%
Wicket rate0.38/ovp81.244.1%
Boundary %23%p1.211.8%
41.2
Quality 41.2 = false-shots induced
False-shot %20%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
12.5
Versatility 12.5 = Σ(pct × share)
Econ vs RHBp1.250%
Econ vs LHBp23.850%
27 · 80% of his oversRA pace234.01379.2537.5
Phase Production 37.5 vs all bowlers · n=40
KPIvaluepctshare
True economy1.235× parp26.244.1%
Wicket rate0.25/ovp5544.1%
Boundary %25%p13.811.8%
52.5
Quality 52.5 = false-shots induced
False-shot %21%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
42.5
Versatility 42.5 = Σ(pct × share)
Econ vs RHBp13.850%
Econ vs LHBp71.250%
28 · 53.8% of his oversSLA orthodox2414.021067.5736.6
Phase Production 36.6 vs all bowlers · n=40
KPIvaluepctshare
True economy1.011× parp56.244.1%
Wicket rate0.14/ovp13.844.1%
Boundary %13%p48.811.8%
71.2
Quality 71.2 = false-shots induced
False-shot %25%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
48.8
Versatility 48.8 = Σ(pct × share)
Econ vs RHBp68.850%
Econ vs LHBp28.850%
29 · 100% of his oversSLA orthodox215.01438.635.7
Phase Production 35.7 vs all bowlers · n=40
KPIvaluepctshare
True economy1.148× parp28.844.1%
Wicket rate0.20/ovp43.844.1%
Boundary %17%p31.211.8%
31.2
Quality 31.2 = false-shots induced
False-shot %17%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
38.8
Versatility 38.8 = Σ(pct × share)
Econ vs RHBp76.250%
Econ vs LHBp1.250%
30 · 51.3% of his oversSLA orthodox2720.061829.135.6
Phase Production 35.6 vs all bowlers · n=40
KPIvaluepctshare
True economy1.215× parp6.244.1%
Wicket rate0.30/ovp68.844.1%
Boundary %17%p21.211.8%
33.8
Quality 33.8 = false-shots induced
False-shot %20%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
13.8
Versatility 13.8 = Σ(pct × share)
Econ vs RHBp21.250%
Econ vs LHBp6.250%
31 · 11.1% of his oversRA pace252.00178.535.2
Phase Production 35.2 vs all bowlers · n=40
KPIvaluepctshare
True economy1.135× parp37.544.1%
Wicket rate0.00/ovp26.244.1%
Boundary %8%p6011.8%
46.2
Quality 46.2 = false-shots induced
False-shot %17%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
38.8
Versatility 38.8 = Σ(pct × share)
Econ vs RHBp46.250%
Econ vs LHBp31.250%
32 · 16.9% of his oversRA pace284.014110.2533.1
Phase Production 33.1 vs all bowlers · n=40
KPIvaluepctshare
True economy1.368× parp13.844.1%
Wicket rate0.25/ovp5544.1%
Boundary %21%p23.811.8%
81.2
Quality 81.2 = false-shots induced
False-shot %33%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
41.2
Versatility 41.2 = Σ(pct × share)
Econ vs RHBp8.850%
Econ vs LHBp73.850%
33 · 92.3% of his oversOff-spin2112.01937.7530.8
Phase Production 30.8 vs all bowlers · n=40
KPIvaluepctshare
True economy1.035× parp46.244.1%
Wicket rate0.08/ovp1.244.1%
Boundary %10%p83.811.8%
3.8
Quality 3.8 = false-shots induced
False-shot %12%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
48.8
Versatility 48.8 = Σ(pct × share)
Econ vs RHBp6.250%
Econ vs LHBp91.250%
34 · 40% of his oversRA pace318.02749.2530.2
Phase Production 30.2 vs all bowlers · n=40
KPIvaluepctshare
True economy1.235× parp16.244.1%
Wicket rate0.25/ovp51.244.1%
Boundary %23%p3.811.8%
78.8
Quality 78.8 = false-shots induced
False-shot %29%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
20
Versatility 20 = Σ(pct × share)
Econ vs RHBp18.850%
Econ vs LHBp21.250%
35 · 42.7% of his oversSLA orthodox3614.121117.8428
Phase Production 28 vs all bowlers · n=40
KPIvaluepctshare
True economy1.046× parp41.244.1%
Wicket rate0.14/ovp11.244.1%
Boundary %14%p41.211.8%
26.2
Quality 26.2 = false-shots induced
False-shot %19%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
43.8
Versatility 43.8 = Σ(pct × share)
Econ vs RHBp83.850%
Econ vs LHBp3.850%
36 · 53.8% of his oversLeg-spin3114.031258.9324
Phase Production 24 vs all bowlers · n=40
KPIvaluepctshare
True economy1.192× parp11.244.1%
Wicket rate0.22/ovp38.844.1%
Boundary %18%p16.211.8%
36.2
Quality 36.2 = false-shots induced
False-shot %20%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
22.5
Versatility 22.5 = Σ(pct × share)
Econ vs RHBp36.250%
Econ vs LHBp8.850%
37 · 81.5% of his oversSLA orthodox2822.041858.4123.2
Phase Production 23.2 vs all bowlers · n=40
KPIvaluepctshare
True economy1.123× parp21.244.1%
Wicket rate0.18/ovp16.244.1%
Boundary %13%p56.211.8%
1.2
Quality 1.2 = false-shots induced
False-shot %9%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
30
Versatility 30 = Σ(pct × share)
Econ vs RHBp48.850%
Econ vs LHBp11.250%
38 · 51% of his oversLA pace2417.021378.0622
Phase Production 22 vs all bowlers · n=40
KPIvaluepctshare
True economy1.076× parp33.844.1%
Wicket rate0.12/ovp3.844.1%
Boundary %14%p46.211.8%
76.2
Quality 76.2 = false-shots induced
False-shot %26%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
37.5
Versatility 37.5 = Σ(pct × share)
Econ vs RHBp56.250%
Econ vs LHBp18.850%
39 · 45.5% of his oversRA pace215.00469.216.5
Phase Production 16.5 vs all bowlers · n=40
KPIvaluepctshare
True economy1.228× parp23.844.1%
Wicket rate0.00/ovp8.844.1%
Boundary %20%p18.811.8%
13.8
Quality 13.8 = false-shots induced
False-shot %13%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
37.5
Versatility 37.5 = Σ(pct × share)
Econ vs RHBp16.250%
Econ vs LHBp58.850%
40 · 100% of his oversSLA orthodox226.016711.1715.9
Phase Production 15.9 vs all bowlers · n=40
KPIvaluepctshare
True economy1.491× parp1.244.1%
Wicket rate0.17/ovp32.544.1%
Boundary %22%p8.811.8%
28.8
Quality 28.8 = false-shots induced
False-shot %17%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
13.8
Versatility 13.8 = Σ(pct × share)
Econ vs RHBp11.250%
Econ vs LHBp16.250%
#BowlerTypeAgeOversWktsRunsEconProdQualImpactVers
1 · 53.7% of his oversLA pace2722.0151838.3293.8
Phase Production 93.8 vs all bowlers · n=27
KPIvaluepctshare
True economy0.81× parp94.450%
Wicket rate0.68/ovp90.716.7%
Boundary %16%p94.433.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
46.5
Versatility 46.5 = Σ(pct × share)
Yorker ratep41.340%
Slower ballp5033.3%
Slow bouncerp5026.7%
2 · 30% of his oversRA pace316.03376.1785.2
Phase Production 85.2 vs all bowlers · n=27
KPIvaluepctshare
True economy0.6× parp90.750%
Wicket rate0.50/ovp57.416.7%
Boundary %11%p90.733.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
67.4
Versatility 67.4 = Σ(pct × share)
Yorker ratep93.540%
Slower ballp5033.3%
Slow bouncerp5026.7%
3 · 27.8% of his oversRA pace255.03295.884
Phase Production 84 vs all bowlers · n=27
KPIvaluepctshare
True economy0.565× parp8750%
Wicket rate0.60/ovp68.516.7%
Boundary %10%p8733.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
64.8
Versatility 64.8 = Σ(pct × share)
Yorker ratep8740%
Slower ballp5033.3%
Slow bouncerp5026.7%
4 · 41.7% of his oversRA pace2212.13826.7482.7
Phase Production 82.7 vs all bowlers · n=27
KPIvaluepctshare
True economy0.656× parp98.150%
Wicket rate0.25/ovp5.616.7%
Boundary %8%p98.133.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
48.3
Versatility 48.3 = Σ(pct × share)
Yorker ratep45.740%
Slower ballp5033.3%
Slow bouncerp5026.7%
5 · 27.3% of his oversRA pace206.06508.3380.2
Phase Production 80.2 vs all bowlers · n=27
KPIvaluepctshare
True economy0.811× parp75.950%
Wicket rate1.00/ovp94.416.7%
Boundary %14%p79.633.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
41.3
Versatility 41.3 = Σ(pct × share)
Yorker ratep28.340%
Slower ballp5033.3%
Slow bouncerp5026.7%
6 · 31% of his oversRA pace2511.461038.8378.4
Phase Production 78.4 vs all bowlers · n=27
KPIvaluepctshare
True economy0.86× parp79.650%
Wicket rate0.52/ovp64.816.7%
Boundary %16%p83.333.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
64.8
Versatility 64.8 = Σ(pct × share)
Yorker ratep8740%
Slower ballp5033.3%
Slow bouncerp5026.7%
7 · 34% of his oversLA pace2411.25998.7473.5
Phase Production 73.5 vs all bowlers · n=27
KPIvaluepctshare
True economy0.85× parp83.350%
Wicket rate0.44/ovp38.916.7%
Boundary %18%p75.933.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
37.8
Versatility 37.8 = Σ(pct × share)
Yorker ratep19.640%
Slower ballp5033.3%
Slow bouncerp5026.7%
8 · 6% of his oversSLA orthodox362.02115.571.8
Phase Production 71.8 vs all bowlers · n=27
KPIvaluepctshare
True economy0.535× parp72.243.6%
Boundary %8%p68.541.8%
Wicket rate1.00/ovp79.614.5%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
87.5
Versatility 87.5 = Σ(pct × share)
Matchup advantagep87.5100%
9 · 19.2% of his oversRA pace286.4460966
Phase Production 66 vs all bowlers · n=27
KPIvaluepctshare
True economy0.876× parp68.550%
Wicket rate0.60/ovp75.916.7%
Boundary %20%p57.433.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
39.6
Versatility 39.6 = Σ(pct × share)
Yorker ratep23.940%
Slower ballp5033.3%
Slow bouncerp5026.7%
10 · 40.7% of his oversRA pace246.13589.4163.6
Phase Production 63.6 vs all bowlers · n=27
KPIvaluepctshare
True economy0.916× parp61.150%
Wicket rate0.49/ovp53.716.7%
Boundary %16%p72.233.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
58.7
Versatility 58.7 = Σ(pct × share)
Yorker ratep71.740%
Slower ballp5033.3%
Slow bouncerp5026.7%
11 · 36.5% of his oversRA pace2712.4913310.557.4
Phase Production 57.4 vs all bowlers · n=27
KPIvaluepctshare
True economy1.022× parp42.650%
Wicket rate0.71/ovp8716.7%
Boundary %20%p64.833.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
44.8
Versatility 44.8 = Σ(pct × share)
Yorker ratep3740%
Slower ballp5033.3%
Slow bouncerp5026.7%
12 · 42.3% of his oversLA pace363.40328.7354.3
Phase Production 54.3 vs all bowlers · n=27
KPIvaluepctshare
True economy0.85× parp64.850%
Wicket rate0.00/ovp9.316.7%
Boundary %18%p61.133.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
69.1
Versatility 69.1 = Σ(pct × share)
Yorker ratep97.840%
Slower ballp5033.3%
Slow bouncerp5026.7%
13 · 20% of his oversRA pace302.01199.551.2
Phase Production 51.2 vs all bowlers · n=27
KPIvaluepctshare
True economy0.925× parp51.950%
Wicket rate0.50/ovp48.116.7%
Boundary %17%p51.933.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
61.3
Versatility 61.3 = Σ(pct × share)
Yorker ratep78.340%
Slower ballp5033.3%
Slow bouncerp5026.7%
14 · 6.5% of his oversSLA orthodox222.00178.549.4
Phase Production 49.4 vs all bowlers · n=27
KPIvaluepctshare
True economy0.828× parp57.443.6%
Boundary %17%p51.941.8%
Wicket rate0.00/ovp18.514.5%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
50
Versatility 50 = Σ(pct × share)
Matchup advantagep50100%
15 · 50% of his oversRA pace212.01199.548.1
Phase Production 48.1 vs all bowlers · n=27
KPIvaluepctshare
True economy0.925× parp51.950%
Wicket rate0.50/ovp48.116.7%
Boundary %25%p42.633.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
61.3
Versatility 61.3 = Σ(pct × share)
Yorker ratep78.340%
Slower ballp5033.3%
Slow bouncerp5026.7%
16 · 55.9% of his oversRA pace12.4713110.3448.1
Phase Production 48.1 vs all bowlers · n=27
KPIvaluepctshare
True economy1.007× parp46.350%
Wicket rate0.55/ovp72.216.7%
Boundary %25%p38.933.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
36.1
Versatility 36.1 = Σ(pct × share)
Yorker ratep15.240%
Slower ballp5033.3%
Slow bouncerp5026.7%
17 · 10.3% of his oversSLA orthodox274.01441138.2
Phase Production 38.2 vs all bowlers · n=27
KPIvaluepctshare
True economy1.071× parp35.243.6%
Boundary %21%p46.341.8%
Wicket rate0.25/ovp24.114.5%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
37.5
Versatility 37.5 = Σ(pct × share)
Matchup advantagep37.5100%
18 · 36.8% of his oversRA pace2212.5913510.5237.7
Phase Production 37.7 vs all bowlers · n=27
KPIvaluepctshare
True economy1.024× parp38.950%
Wicket rate0.70/ovp83.316.7%
Boundary %29%p1333.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
43
Versatility 43 = Σ(pct × share)
Yorker ratep32.640%
Slower ballp5033.3%
Slow bouncerp5026.7%
19 · 42.9% of his oversRA pace259.0811012.2237
Phase Production 37 vs all bowlers · n=27
KPIvaluepctshare
True economy1.19× parp27.850%
Wicket rate0.89/ovp98.116.7%
Boundary %30%p20.433.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
51.7
Versatility 51.7 = Σ(pct × share)
Yorker ratep54.340%
Slower ballp5033.3%
Slow bouncerp5026.7%
20 · 36.8% of his oversRA pace303.314512.8632.1
Phase Production 32.1 vs all bowlers · n=27
KPIvaluepctshare
True economy1.252× parp31.550%
Wicket rate0.29/ovp27.816.7%
Boundary %29%p35.233.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
32.6
Versatility 32.6 = Σ(pct × share)
Yorker ratep6.540%
Slower ballp5033.3%
Slow bouncerp5026.7%
21 · 18.9% of his oversRA pace192.213916.7124.1
Phase Production 24.1 vs all bowlers · n=27
KPIvaluepctshare
True economy1.627× parp1350%
Wicket rate0.43/ovp42.616.7%
Boundary %36%p31.533.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
32.6
Versatility 32.6 = Σ(pct × share)
Yorker ratep6.540%
Slower ballp5033.3%
Slow bouncerp5026.7%
22 · 40.8% of his oversRA pace289.4512012.4124.1
Phase Production 24.1 vs all bowlers · n=27
KPIvaluepctshare
True economy1.209× parp24.150%
Wicket rate0.52/ovp61.116.7%
Boundary %31%p5.633.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
55.2
Versatility 55.2 = Σ(pct × share)
Yorker ratep6340%
Slower ballp5033.3%
Slow bouncerp5026.7%
23 · 41.2% of his oversRA pace267.03911321.6
Phase Production 21.6 vs all bowlers · n=27
KPIvaluepctshare
True economy1.266× parp20.450%
Wicket rate0.43/ovp35.216.7%
Boundary %31%p16.733.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
57
Versatility 57 = Σ(pct × share)
Yorker ratep67.440%
Slower ballp5033.3%
Slow bouncerp5026.7%
24 · 12.1% of his oversOff-spin244.005814.519.2
Phase Production 19.2 vs all bowlers · n=27
KPIvaluepctshare
True economy1.412× parp16.743.6%
Boundary %33%p27.841.8%
Wicket rate0.00/ovp1.914.5%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
25
Versatility 25 = Σ(pct × share)
Matchup advantagep25100%
25 · 30% of his oversLA pace263.014715.6713
Phase Production 13 vs all bowlers · n=27
KPIvaluepctshare
True economy1.525× parp9.350%
Wicket rate0.34/ovp31.516.7%
Boundary %39%p9.333.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
51.7
Versatility 51.7 = Σ(pct × share)
Yorker ratep54.340%
Slower ballp5033.3%
Slow bouncerp5026.7%
26 · 20% of his oversRA pace2.003919.512
Phase Production 12 vs all bowlers · n=27
KPIvaluepctshare
True economy1.898× parp1.950%
Wicket rate0.00/ovp18.516.7%
Boundary %42%p24.133.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
32.6
Versatility 32.6 = Σ(pct × share)
Yorker ratep6.540%
Slower ballp5033.3%
Slow bouncerp5026.7%
27 · 54.5% of his oversRA pace216.018614.335.6
Phase Production 5.6 vs all bowlers · n=27
KPIvaluepctshare
True economy1.395× parp5.650%
Wicket rate0.17/ovp1316.7%
Boundary %36%p1.933.3%
50
Impact 50 = WPA percentile in phase
WPA (this phase)+0
51.7
Versatility 51.7 = Σ(pct × share)
Yorker ratep54.340%
Slower ballp5033.3%
Slow bouncerp5026.7%