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

Chandigarh Premier League 2026 — Scout Score

42 batters · 52 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 3RHB248258154167.536.9291381.3
Scout Score 81.3 = Σ(component × weight)
Componentscoreweight
Production74.540%
Impact8527%
Versatility84.315%
Shot quality756%
Trajectory9512%
  form Δ (last 3 vs season)1.39×[72, 14, 19]
74.5
Production 74.5 = Σ(percentile × share)
KPIvaluepctshare
True SR0.98× parp5535%
True Avg1.21× parp8530%
Balls / boundary3.39p8517.5%
Balls / dismissal26p8517.5%
75
Shot Quality 75 = control-% percentile
Control · Consolidation82.2%
Control · Build80%
Phase-weighted control81.8%
85
Impact 85 = WPA percentile · total +45.9
WPA · Powerplay+45.9
WPA · Consolidation+0.1
84.3
Versatility 84.3 = Σ(pct × share) · * owner cell pending
vs Pace SRp7526.7%
vs Spin SRp7526.7%
Accel into Consp9520%
Pressure entryp9526.7%
2 · pos 3LHB2811397236168.249.6451581
Scout Score 81 = Σ(component × weight)
Componentscoreweight
Production9540%
Impact9527%
Versatility65.715%
Shot quality356%
Trajectory4512%
  form Δ (last 3 vs season)0.88×[69, 5, 34]
95
Production 95 = Σ(percentile × share)
KPIvaluepctshare
True SR1.18× parp9535%
True Avg6.18× parp9530%
Balls / boundary2.89p9517.5%
Balls / dismissal110p9517.5%
35
Shot Quality 35 = control-% percentile
Control · Consolidation70.2%
Control · Build81.1%
Phase-weighted control73.7%
95
Impact 95 = WPA percentile · total +82.5
WPA · Powerplay+93.3
WPA · Consolidation-10.8
65.7
Versatility 65.7 = Σ(pct × share) · * owner cell pending
vs Pace SRp4526.7%
vs Spin SRp9526.7%
Accel into Consp7520%
Pressure entryp5026.7%
3 · pos 3RHB36140152.520.37265.1
Scout Score 65.1 = Σ(component × weight)
Componentscoreweight
Production71.540%
Impact7527%
Versatility54.315%
Shot quality256%
Trajectory5512%
  form Δ (last 3 vs season)[5, 27, 29]
71.5
Production 71.5 = Σ(percentile × share)
KPIvaluepctshare
True SR1.14× parp7535%
True Avg0.92× parp7530%
Balls / boundary2.83p6517.5%
Balls / dismissal17p6517.5%
25
Shot Quality 25 = control-% percentile
Control · Consolidation71.4%
Control · Build66.7%
Phase-weighted control70.3%
75
Impact 75 = WPA percentile · total +7
WPA · Powerplay+9.5
WPA · Consolidation-2.5
54.3
Versatility 54.3 = Σ(pct × share) · * owner cell pending
vs Pace SRp8526.7%
vs Spin SRp3526.7%
Accel into Consp4520%
Pressure entryp5026.7%
4 · pos 3RHB25814391157.117.917553.6
Scout Score 53.6 = Σ(component × weight)
Componentscoreweight
Production59.540%
Impact4527%
Versatility47.715%
Shot quality56%
Trajectory8512%
  form Δ (last 3 vs season)1.24×[39, 33, 0]
59.5
Production 59.5 = Σ(percentile × share)
KPIvaluepctshare
True SR0.99× parp8535%
True Avg0.77× parp3530%
Balls / boundary3.86p7517.5%
Balls / dismissal16.2p3517.5%
5
Shot Quality 5 = control-% percentile
Control · Consolidation50%
Control · Buildn/a
Phase-weighted control50%
45
Impact 45 = WPA percentile · total -6.6
WPA · Powerplay+7.2
WPA · Consolidation-13.8
47.7
Versatility 47.7 = Σ(pct × share) · * owner cell pending
vs Pace SRp5526.7%
vs Spin SRp5526.7%
Accel into Consp2520%
Pressure entryp5026.7%
5 · pos 3RHB108851172.5118546.1
Scout Score 46.1 = Σ(component × weight)
Componentscoreweight
Production34.840%
Impact6527%
Versatility59.715%
Shot quality456%
Trajectory2512%
  form Δ (last 3 vs season)0.75×[17, 1, 0]
34.8
Production 34.8 = Σ(percentile × share)
KPIvaluepctshare
True SR1.05× parp6535%
True Avg0.3× parp530%
Balls / boundary3.75p5517.5%
Balls / dismissal6p517.5%
45
Shot Quality 45 = control-% percentile
Control · Consolidation77.8%
Control · Buildn/a
Phase-weighted control77.8%
65
Impact 65 = WPA percentile · total -1.6
WPA · Powerplay+2.6
WPA · Consolidation-4.2
59.7
Versatility 59.7 = Σ(pct × share) · * owner cell pending
vs Pace SRp2526.7%
vs Spin SRp8526.7%
Accel into Consp8520%
Pressure entryp5026.7%
6 · pos 3RHB3010296176168.237221739.5
Scout Score 39.5 = Σ(component × weight)
Componentscoreweight
Production23.840%
Impact3527%
Versatility5115%
Shot quality856%
Trajectory6512%
  form Δ (last 3 vs season)1.12×[74, 4, 18]
23.8
Production 23.8 = Σ(percentile × share)
KPIvaluepctshare
True SR0.5× parp3535%
True Avg0.07× parp1530%
Balls / boundary6p1517.5%
Balls / dismissal3p2517.5%
85
Shot Quality 85 = control-% percentile
Control · Consolidation89.7%
Control · Build84.8%
Phase-weighted control86.7%
35
Impact 35 = WPA percentile · total -16.2
WPA · Powerplay-13.3
WPA · Consolidation-2.9
51
Versatility 51 = Σ(pct × share) · * owner cell pending
vs Pace SRp9526.7%
vs Spin SRp6526.7%
Accel into Consp3520%
Pressure entryp526.7%
7 · pos 3RHB229239173138.234.1221136.8
Scout Score 36.8 = Σ(component × weight)
Componentscoreweight
Production4140%
Impact1527%
Versatility2315%
Shot quality656%
Trajectory7512%
  form Δ (last 3 vs season)1.13×[4, 71, 0]
41
Production 41 = Σ(percentile × share)
KPIvaluepctshare
True SR0.79× parp2535%
True Avg0.74× parp5530%
Balls / boundary4.21p4517.5%
Balls / dismissal19.67p4517.5%
65
Shot Quality 65 = control-% percentile
Control · Consolidation83.6%
Control · Build76.6%
Phase-weighted control81.5%
15
Impact 15 = WPA percentile · total -32.8
WPA · Powerplay-15.5
WPA · Consolidation-17.3
23
Versatility 23 = Σ(pct × share) · * owner cell pending
vs Pace SRp1526.7%
vs Spin SRp4526.7%
Accel into Consp1520%
Pressure entryp1526.7%
8 · pos 3RHB11166122136.115.191135.2
Scout Score 35.2 = Σ(component × weight)
Componentscoreweight
Production3240%
Impact5527%
Versatility40.315%
Shot quality156%
Trajectory512%
  form Δ (last 3 vs season)0.67×[14, 9, 7]
32
Production 32 = Σ(percentile × share)
KPIvaluepctshare
True SR0.96× parp4535%
True Avg0.63× parp2530%
Balls / boundary4.6p3517.5%
Balls / dismissal13.8p1517.5%
15
Shot Quality 15 = control-% percentile
Control · Consolidation62.5%
Control · Build71%
Phase-weighted control66.7%
55
Impact 55 = WPA percentile · total -6.5
WPA · Powerplay+4.5
WPA · Consolidation-11
40.3
Versatility 40.3 = Σ(pct × share) · * owner cell pending
vs Pace SRp3526.7%
vs Spin SRp2526.7%
Accel into Consp5520%
Pressure entryp5026.7%
9 · pos 3LHB18718716411426.7131234.1
Scout Score 34.1 = Σ(component × weight)
Componentscoreweight
Production32.840%
Impact2527%
Versatility2915%
Shot quality956%
Trajectory3512%
  form Δ (last 3 vs season)0.84×[4, 43, 15]
32.8
Production 32.8 = Σ(percentile × share)
KPIvaluepctshare
True SR0.76× parp1535%
True Avg0.79× parp4530%
Balls / boundary4.63p2517.5%
Balls / dismissal22p5517.5%
95
Shot Quality 95 = control-% percentile
Control · Consolidation88.4%
Control · Build87.1%
Phase-weighted control88%
25
Impact 25 = WPA percentile · total -17.1
WPA · Powerplay-22.3
WPA · Consolidation+5.2
29
Versatility 29 = Σ(pct × share) · * owner cell pending
vs Pace SRp526.7%
vs Spin SRp526.7%
Accel into Consp6520%
Pressure entryp5026.7%
10 · pos 3RHB2110308239128.94423927.3
Scout Score 27.3 = Σ(component × weight)
Componentscoreweight
Production35.240%
Impact527%
Versatility4515%
Shot quality556%
Trajectory1512%
  form Δ (last 3 vs season)0.74×[0, 11, 33]
35.2
Production 35.2 = Σ(percentile × share)
KPIvaluepctshare
True SR0.57× parp535%
True Avg0.68× parp6530%
Balls / boundary12.5p517.5%
Balls / dismissal25p7517.5%
55
Shot Quality 55 = control-% percentile
Control · Consolidation81.9%
Control · Build80%
Phase-weighted control81.2%
5
Impact 5 = WPA percentile · total -63.6
WPA · Powerplay-40.4
WPA · Consolidation-23.3
45
Versatility 45 = Σ(pct × share) · * owner cell pending
vs Pace SRp6526.7%
vs Spin SRp1526.7%
Accel into Consp520%
Pressure entryp8526.7%
#PlayerBatAgeInnsRunsBallsSRAvg4s6sScoreProdShot QImpactVers
1 · pos 4LHB1910317161196.939.6321983.6
Scout Score 83.6 = Σ(component × weight)
Componentscoreweight
Production85.728%
Impact91.227%
Versatility8927%
Shot quality67.68%
Trajectory55.910%
  form Δ (last 3 vs season)0.98×[30, 11, 103]
85.7
Production 85.7 = Σ(percentile × share)
KPIvaluepctshare
True SR1.33× parp97.142.9%
True Avg1.14× parp61.832.1%
Balls / boundary3.58p97.125%
67.6
Shot Quality 67.6 = control-% percentile
Control · Consolidation84.2%
Control · Build80%
Phase-weighted control81.4%
91.2
Impact 91.2 = WPA percentile · total +56.7
WPA · Consolidation+9.3
WPA · Build+47.4
89
Versatility 89 = Σ(pct × share) · * owner cell pending
Matchup defiancep9044.4%
  vs Off-spin40bp90
  vs Chinaman0b0b <min
  vs Short ball5b5b <min
Spin hittingp89.429.6%
  Off-spin56bp90.6
  LA-orthodox43bp91.2
  Leg-spin10bp75
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p79.414.8%
Reach deathp97.111.1%
2 · pos 4RHB24721211418642.4131671.4
Scout Score 71.4 = Σ(component × weight)
Componentscoreweight
Production72.928%
Impact85.327%
Versatility58.427%
Shot quality97.18%
Trajectory44.110%
  form Δ (last 3 vs season)0.94×[62, 10, 8]
72.9
Production 72.9 = Σ(percentile × share)
KPIvaluepctshare
True SR1.09× parp67.642.9%
True Avg1.66× parp79.432.1%
Balls / boundary5.83p73.525%
97.1
Shot Quality 97.1 = control-% percentile
Control · Consolidation76.9%
Control · Build94.7%
Phase-weighted control91.4%
85.3
Impact 85.3 = WPA percentile · total +56.7
WPA · Consolidation-5.8
WPA · Build+62.5
58.4
Versatility 58.4 = Σ(pct × share) · * owner cell pending
Matchup defiancep4544.4%
  vs LA-orthodox33bp45
  vs Leg-spin0b0b <min
  vs Short ball1b1b <min
Spin hittingp69.529.6%
  Off-spin26bp34.4
  LA-orthodox58bp85.3
  Leg-spin0b0b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p55.914.8%
Reach deathp85.311.1%
3 · pos 4RHB2411276179154.234.5191371.2
Scout Score 71.2 = Σ(component × weight)
Componentscoreweight
Production69.728%
Impact79.427%
Versatility7127%
Shot quality91.28%
Trajectory38.210%
  form Δ (last 3 vs season)0.92×[6, 25, 10]
69.7
Production 69.7 = Σ(percentile × share)
KPIvaluepctshare
True SR1.06× parp79.442.9%
True Avg1.16× parp67.632.1%
Balls / boundary6.86p55.925%
91.2
Shot Quality 91.2 = control-% percentile
Control · Consolidation89.7%
Control · Build92.8%
Phase-weighted control91.4%
79.4
Impact 79.4 = WPA percentile · total +22
WPA · Consolidation+6.1
WPA · Build+15.9
71
Versatility 71 = Σ(pct × share) · * owner cell pending
Matchup defiancep7544.4%
  vs LA-orthodox62bp75
  vs Leg-spin0b0b <min
  vs Short ball7b7b <min
Spin hittingp72.329.6%
  Off-spin66bp84.4
  LA-orthodox75bp61.8
  Leg-spin0b0b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p5014.8%
Reach deathp79.411.1%
4 · pos 5RHB2871176019523.47970.2
Scout Score 70.2 = Σ(component × weight)
Componentscoreweight
Production76.528%
Impact73.527%
Versatility59.127%
Shot quality85.38%
Trajectory61.810%
  form Δ (last 3 vs season)[0, 27, 45]
76.5
Production 76.5 = Σ(percentile × share)
KPIvaluepctshare
True SR1.43× parp91.242.9%
True Avg0.96× parp5032.1%
Balls / boundary3.88p85.325%
85.3
Shot Quality 85.3 = control-% percentile
Control · Consolidation80%
Control · Build84.6%
Phase-weighted control83.9%
73.5
Impact 73.5 = WPA percentile · total +15.2
WPA · Consolidation-6.6
WPA · Build+21.8
59.1
Versatility 59.1 = Σ(pct × share) · * owner cell pending
Matchup defiancep5044.4%
  vs LA-orthodox7b7b <min
  vs Leg-spin0b0b <min
  vs Short ball0b0b <min
Spin hittingp96.929.6%
  Off-spin30bp96.9
  LA-orthodox15bp97.1
  Leg-spin0b0b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p26.514.8%
Reach deathp38.211.1%
5 · pos 4RHB2910299199150.337.438468.5
Scout Score 68.5 = Σ(component × weight)
Componentscoreweight
Production86.828%
Impact61.827%
Versatility79.327%
Shot quality508%
Trajectory20.610%
  form Δ (last 3 vs season)0.8×[25, 19, 10]
86.8
Production 86.8 = Σ(percentile × share)
KPIvaluepctshare
True SR1.1× parp85.342.9%
True Avg1.41× parp85.332.1%
Balls / boundary4.93p91.225%
50
Shot Quality 50 = control-% percentile
Control · Consolidation84.4%
Control · Build75%
Phase-weighted control79.1%
61.8
Impact 61.8 = WPA percentile · total -0.9
WPA · Consolidation+33.6
WPA · Build-34.5
79.3
Versatility 79.3 = Σ(pct × share) · * owner cell pending
Matchup defiancep9544.4%
  vs LA-orthodox74bp95
  vs Leg-spin9b9b <min
  vs Short ball2b2b <min
Spin hittingp68.229.6%
  Off-spin53bp59.4
  LA-orthodox89bp73.5
  Leg-spin9b9b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p67.614.8%
Reach deathp61.811.1%
6 · pos 4RHB2510253196129.125.3191168.4
Scout Score 68.4 = Σ(component × weight)
Componentscoreweight
Production80.728%
Impact97.127%
Versatility51.527%
Shot quality38.28%
Trajectory26.510%
  form Δ (last 3 vs season)0.83×[7, 26, 42]
80.7
Production 80.7 = Σ(percentile × share)
KPIvaluepctshare
True SR1.06× parp73.542.9%
True Avg1.48× parp91.232.1%
Balls / boundary6.1p79.425%
38.2
Shot Quality 38.2 = control-% percentile
Control · Consolidation81.6%
Control · Build75.6%
Phase-weighted control77.3%
97.1
Impact 97.1 = WPA percentile · total +59.1
WPA · Consolidation-0.3
WPA · Build+59.4
51.5
Versatility 51.5 = Σ(pct × share) · * owner cell pending
Matchup defiancep6544.4%
  vs LA-orthodox42bp65
  vs Leg-spin4b4b <min
  vs Short ball2b2b <min
Spin hittingp5729.6%
  Off-spin59bp65.6
  LA-orthodox73bp50
  Leg-spin5b5b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p32.414.8%
Reach deathp8.811.1%
7 · pos 5LHB2511249173143.935.6191167.7
Scout Score 67.7 = Σ(component × weight)
Componentscoreweight
Production69.528%
Impact67.627%
Versatility66.527%
Shot quality44.18%
Trajectory85.310%
  form Δ (last 3 vs season)1.01×[19, 26, 3]
69.5
Production 69.5 = Σ(percentile × share)
KPIvaluepctshare
True SR1.01× parp5042.9%
True Avg1.79× parp97.132.1%
Balls / boundary6.42p67.625%
44.1
Shot Quality 44.1 = control-% percentile
Control · Consolidation75%
Control · Build80%
Phase-weighted control77.9%
67.6
Impact 67.6 = WPA percentile · total +4.1
WPA · Consolidation-15.6
WPA · Build+19.7
66.5
Versatility 66.5 = Σ(pct × share) · * owner cell pending
Matchup defiancep7044.4%
  vs Off-spin52bp70
  vs Chinaman0b0b <min
  vs Short ball4b4b <min
Spin hittingp45.729.6%
  Off-spin70bp28.1
  LA-orthodox56bp67.6
  Leg-spin1b1b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p97.114.8%
Reach deathp67.611.1%
8 · pos 4RHB23712180151.217.312650.6
Scout Score 50.6 = Σ(component × weight)
Componentscoreweight
Production49.828%
Impact55.927%
Versatility3827%
Shot quality79.48%
Trajectory5010%
  form Δ (last 3 vs season)0.97×[23, 35, 21]
49.8
Production 49.8 = Σ(percentile × share)
KPIvaluepctshare
True SR1.05× parp55.942.9%
True Avg0.76× parp32.432.1%
Balls / boundary6.25p61.825%
79.4
Shot Quality 79.4 = control-% percentile
Control · Consolidation75%
Control · Build88.5%
Phase-weighted control82%
55.9
Impact 55.9 = WPA percentile · total -3.3
WPA · Consolidation-12.1
WPA · Build+8.8
38
Versatility 38 = Σ(pct × share) · * owner cell pending
Matchup defiancep3544.4%
  vs LA-orthodox24bp35
  vs Leg-spin3b3b <min
  vs Short ball0b0b <min
Spin hittingp62.229.6%
  Off-spin16bp78.1
  LA-orthodox40bp55.9
  Leg-spin3b3b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p2.914.8%
Reach deathp32.411.1%
9 · pos 4RHB19410580131.226.27646.6
Scout Score 46.6 = Σ(component × weight)
Componentscoreweight
Production48.128%
Impact5027%
Versatility32.727%
Shot quality20.68%
Trajectory91.210%
  form Δ (last 3 vs season)1.08×[11, 4, 46]
48.1
Production 48.1 = Σ(percentile × share)
KPIvaluepctshare
True SR0.89× parp38.242.9%
True Avg1.63× parp73.532.1%
Balls / boundary8.4p32.425%
20.6
Shot Quality 20.6 = control-% percentile
Control · Consolidation75%
Control · Build73.3%
Phase-weighted control73.8%
50
Impact 50 = WPA percentile · total -4.3
WPA · Consolidation+1
WPA · Build-5.3
32.7
Versatility 32.7 = Σ(pct × share) · * owner cell pending
Matchup defiancep1544.4%
  vs LA-orthodox19bp15
  vs Leg-spin0b0b <min
  vs Short ball0b0b <min
Spin hittingp46.229.6%
  Off-spin27bp71.9
  LA-orthodox22bp14.7
  Leg-spin6b6b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p41.214.8%
Reach deathp55.911.1%
10 · pos 4LHB2710280188148.928161543.2
Scout Score 43.2 = Σ(component × weight)
Componentscoreweight
Production45.828%
Impact26.527%
Versatility57.427%
Shot quality55.98%
Trajectory32.410%
  form Δ (last 3 vs season)0.89×[60, 6, 4]
45.8
Production 45.8 = Σ(percentile × share)
KPIvaluepctshare
True SR1.03× parp61.842.9%
True Avg0.89× parp44.132.1%
Balls / boundary8.18p20.625%
55.9
Shot Quality 55.9 = control-% percentile
Control · Consolidation76.9%
Control · Build80.5%
Phase-weighted control79.1%
26.5
Impact 26.5 = WPA percentile · total -15.9
WPA · Consolidation-4.4
WPA · Build-11.5
57.4
Versatility 57.4 = Σ(pct × share) · * owner cell pending
Matchup defiancep5044.4%
  vs Off-spin70bp50
  vs Chinaman0b0b <min
  vs Short ball3b3b <min
Spin hittingp63.429.6%
  Off-spin80bp53.1
  LA-orthodox51bp79.4
  Leg-spin0b0b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p91.214.8%
Reach deathp26.511.1%
11 · pos 4RHB6112110101.822.411238.8
Scout Score 38.8 = Σ(component × weight)
Componentscoreweight
Production32.828%
Impact32.427%
Versatility39.927%
Shot quality26.58%
Trajectory79.410%
  form Δ (last 3 vs season)[36, 8, 10]
32.8
Production 32.8 = Σ(percentile × share)
KPIvaluepctshare
True SR0.83× parp32.442.9%
True Avg0.79× parp38.232.1%
Balls / boundary8.25p26.525%
26.5
Shot Quality 26.5 = control-% percentile
Control · Consolidation78.1%
Control · Build76.5%
Phase-weighted control77.3%
32.4
Impact 32.4 = WPA percentile · total -14.8
WPA · Consolidation-16.4
WPA · Build+1.6
39.9
Versatility 39.9 = Σ(pct × share) · * owner cell pending
Matchup defiancep6844.4%
  vs LA-orthodox18bp85
  vs Leg-spin17bp50
  vs Short ball1b1b <min
Spin hittingp27.229.6%
  Off-spin26bp12.5
  LA-orthodox38bp38.2
  Leg-spin17bp25
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p8.814.8%
Reach deathp2.911.1%
12 · pos 5RHB1955846126.111.63438.3
Scout Score 38.3 = Σ(component × weight)
Componentscoreweight
Production32.828%
Impact38.227%
Versatility48.127%
Shot quality61.88%
Trajectory8.810%
  form Δ (last 3 vs season)0.73×[12, 4, 8]
32.8
Production 32.8 = Σ(percentile × share)
KPIvaluepctshare
True SR0.9× parp44.142.9%
True Avg0.46× parp8.832.1%
Balls / boundary7p44.125%
61.8
Shot Quality 61.8 = control-% percentile
Control · Consolidation85.7%
Control · Build78.6%
Phase-weighted control80%
38.2
Impact 38.2 = WPA percentile · total -12.8
WPA · Consolidation-12
WPA · Build-0.8
48.1
Versatility 48.1 = Σ(pct × share) · * owner cell pending
Matchup defiancep5544.4%
  vs LA-orthodox13bp55
  vs Leg-spin0b0b <min
  vs Short ball2b2b <min
Spin hittingp32.429.6%
  Off-spin8b8b <min
  LA-orthodox13bp32.4
  Leg-spin0b0b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p61.814.8%
Reach deathp44.111.1%
13 · pos 5LHB291021614415027181431.7
Scout Score 31.7 = Σ(component × weight)
Componentscoreweight
Production24.828%
Impact8.827%
Versatility37.227%
Shot quality32.48%
Trajectory97.110%
  form Δ (last 3 vs season)1.26×[13, 25, 15]
24.8
Production 24.8 = Σ(percentile × share)
KPIvaluepctshare
True SR0.83× parp26.542.9%
True Avg0.58× parp2.932.1%
Balls / boundary6.93p5025%
32.4
Shot Quality 32.4 = control-% percentile
Control · Consolidation83.7%
Control · Build72.2%
Phase-weighted control77.3%
8.8
Impact 8.8 = WPA percentile · total -38.4
WPA · Consolidation-8.4
WPA · Build-29.9
37.2
Versatility 37.2 = Σ(pct × share) · * owner cell pending
Matchup defiancep1044.4%
  vs Off-spin59bp10
  vs Chinaman0b0b <min
  vs Short ball0b0b <min
Spin hittingp46.129.6%
  Off-spin80bp46.9
  LA-orthodox30bp44.1
  Leg-spin0b0b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p73.514.8%
Reach deathp73.511.1%
14 · pos 5RHB2283287.5144027.5
Scout Score 27.5 = Σ(component × weight)
Componentscoreweight
Production9.728%
Impact44.127%
Versatility20.727%
Shot quality2.98%
Trajectory70.610%
  form Δ (last 3 vs season)[2, 26]
9.7
Production 9.7 = Σ(percentile × share)
KPIvaluepctshare
True SR0.56× parp2.942.9%
True Avg0.29× parp14.732.1%
Balls / boundary12p14.725%
2.9
Shot Quality 2.9 = control-% percentile
Control · Consolidation60%
Control · Build44.4%
Phase-weighted control54.2%
44.1
Impact 44.1 = WPA percentile · total -10.6
WPA · Consolidation-1.8
WPA · Build-8.8
20.7
Versatility 20.7 = Σ(pct × share) · * owner cell pending
Matchup defiancep544.4%
  vs LA-orthodox13bp5
  vs Leg-spin0b0b <min
  vs Short ball0b0b <min
Spin hittingp23.129.6%
  Off-spin15bp40.6
  LA-orthodox13bp2.9
  Leg-spin0b0b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p41.214.8%
Reach deathp5011.1%
15 · pos 5RHB3410348243143.249.7221725.5
Scout Score 25.5 = Σ(component × weight)
Componentscoreweight
Production22.528%
Impact2.927%
Versatility41.127%
Shot quality73.58%
Trajectory14.710%
  form Δ (last 3 vs season)0.78×[2, 59, 31]
22.5
Production 22.5 = Σ(percentile × share)
KPIvaluepctshare
True SR0.82× parp8.842.9%
True Avg1.13× parp55.932.1%
Balls / boundary12.15p2.925%
73.5
Shot Quality 73.5 = control-% percentile
Control · Consolidation82.4%
Control · Build81%
Phase-weighted control81.6%
2.9
Impact 2.9 = WPA percentile · total -52.2
WPA · Consolidation-22.1
WPA · Build-30.1
41.1
Versatility 41.1 = Σ(pct × share) · * owner cell pending
Matchup defiancep2544.4%
  vs LA-orthodox64bp25
  vs Leg-spin0b0b <min
  vs Short ball5b5b <min
Spin hittingp24.329.6%
  Off-spin74bp21.9
  LA-orthodox83bp26.5
  Leg-spin0b0b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p85.314.8%
Reach deathp91.211.1%
16 · pos 4LHB3394195.1134024.2
Scout Score 24.2 = Σ(component × weight)
Componentscoreweight
Production1728%
Impact20.627%
Versatility2127%
Shot quality14.78%
Trajectory70.610%
  form Δ (last 3 vs season)[13, 26, 0]
17
Production 17 = Σ(percentile × share)
KPIvaluepctshare
True SR0.71× parp14.742.9%
True Avg0.54× parp26.532.1%
Balls / boundary11.67p8.825%
14.7
Shot Quality 14.7 = control-% percentile
Control · Consolidation80%
Control · Build53.3%
Phase-weighted control68.6%
20.6
Impact 20.6 = WPA percentile · total -19.1
WPA · Consolidation-11.1
WPA · Build-7.9
21
Versatility 21 = Σ(pct × share) · * owner cell pending
Matchup defiancep3044.4%
  vs Off-spin16bp30
  vs Chinaman0b0b <min
  vs Short ball1b1b <min
Spin hittingp10.729.6%
  Off-spin18bp12.5
  LA-orthodox17bp8.8
  Leg-spin0b0b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p14.714.8%
Reach deathp20.611.1%
17 · pos 4RHB285263672.26.52120.1
Scout Score 20.1 = Σ(component × weight)
Componentscoreweight
Production2528%
Impact14.727%
Versatility30.327%
Shot quality8.88%
Trajectory2.910%
  form Δ (last 3 vs season)0.46×[2, 0, 3]
25
Production 25 = Σ(percentile × share)
KPIvaluepctshare
True SR0.66× parp20.642.9%
True Avg0.37× parp20.632.1%
Balls / boundary8.67p38.225%
8.8
Shot Quality 8.8 = control-% percentile
Control · Consolidation50%
Control · Build60%
Phase-weighted control57.7%
14.7
Impact 14.7 = WPA percentile · total -20.8
WPA · Consolidation-11.7
WPA · Build-9
30.3
Versatility 30.3 = Σ(pct × share) · * owner cell pending
Matchup defiancep5044.4%
  vs LA-orthodox6b6b <min
  vs Leg-spin0b0b <min
  vs Short ball0b0b <min
Spin hittingp11.429.6%
  Off-spin11bp3.1
  LA-orthodox10bp20.6
  Leg-spin0b0b <min
  Chinaman0b0b <min
  Hybrid0b0b <min
vs Pace SR (mid)p20.614.8%
Reach deathp14.711.1%
#PlayerBatAgeInnsRunsBallsSRAvg4s6sScoreProdShot QImpactVers
1 · pos 7RHB22918590205.630.8141380.5
Scout Score 80.5 = Σ(component × weight)
Componentscoreweight
Production8740%
Impact76.725%
Versatility62.618%
Shot quality904%
Trajectory9013%
  form Δ (last 3 vs season)1.46×[12, 18, 6]
87
Production 87 = Σ(percentile × share)
KPIvaluepctshare
True SR1.5× parp96.732.5%
Balls / boundary2.25p83.320%
Balls / six4.5p96.732.5%
Early boundaryn/ap5015%
90
Shot Quality 90 = control-% percentile
Control · Consolidation75%
Control · Build87.8%
Phase-weighted control86.7%
76.7
Impact 76.7 = WPA percentile · total +25.5
WPA · Death+25.5
62.6
Versatility 62.6 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker4b4b <min
  vs Slower ball7b7b <min
vs Spin (death)p9016.7%
Reach buildp76.722.2%
2 · pos 7RHB2811290141205.758331376.9
Scout Score 76.9 = Σ(component × weight)
Componentscoreweight
Production8140%
Impact96.725%
Versatility53.318%
Shot quality63.34%
Trajectory63.313%
  form Δ (last 3 vs season)1.06×[3, 39, 8]
81
Production 81 = Σ(percentile × share)
KPIvaluepctshare
True SR1.4× parp9032.5%
Balls / boundary2.18p96.720%
Balls / six9.6p76.732.5%
Early boundaryn/ap5015%
63.3
Shot Quality 63.3 = control-% percentile
Control · Consolidation80.8%
Control · Build81%
Phase-weighted control80.9%
96.7
Impact 96.7 = WPA percentile · total +126.5
WPA · Death+126.5
53.3
Versatility 53.3 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker2b2b <min
  vs Slower ball7b7b <min
vs Spin (death)p16.716.7%
Reach buildp9022.2%
3 · pos 7RHB239195114171.132.5161372.3
Scout Score 72.3 = Σ(component × weight)
Componentscoreweight
Production73.540%
Impact83.325%
Versatility5318%
Shot quality43.34%
Trajectory83.313%
  form Δ (last 3 vs season)1.28×[23, 7, 16]
73.5
Production 73.5 = Σ(percentile × share)
KPIvaluepctshare
True SR1.26× parp76.732.5%
Balls / boundary2.83p7020%
Balls / six5.67p83.332.5%
Early boundaryn/ap5015%
43.3
Shot Quality 43.3 = control-% percentile
Control · Consolidation84.6%
Control · Build73.4%
Phase-weighted control75.3%
83.3
Impact 83.3 = WPA percentile · total +25.8
WPA · Death+25.8
53
Versatility 53 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker0b0b <min
  vs Slower ball5b5b <min
vs Spin (death)p23.316.7%
Reach buildp83.322.2%
4 · pos 6RHB259195122159.848.816865.5
Scout Score 65.5 = Σ(component × weight)
Componentscoreweight
Production81.840%
Impact63.325%
Versatility47.418%
Shot quality704%
Trajectory43.313%
  form Δ (last 3 vs season)0.98×[23, 1, 75]
81.8
Production 81.8 = Σ(percentile × share)
KPIvaluepctshare
True SR1.29× parp83.332.5%
Balls / boundary2.82p9020%
Balls / six7.75p9032.5%
Early boundaryn/ap5015%
70
Shot Quality 70 = control-% percentile
Control · Consolidation85.7%
Control · Build80.4%
Phase-weighted control81.7%
63.3
Impact 63.3 = WPA percentile · total +2.5
WPA · Death+2.5
47.4
Versatility 47.4 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker4b4b <min
  vs Slower ball7b7b <min
vs Spin (death)p96.716.7%
Reach buildp3.322.2%
5 · pos 7LHB25920013714633.320864.3
Scout Score 64.3 = Σ(component × weight)
Componentscoreweight
Production68.340%
Impact9025%
Versatility5718%
Shot quality504%
Trajectory16.713%
  form Δ (last 3 vs season)0.82×[22, 27, 32]
68.3
Production 68.3 = Σ(percentile × share)
KPIvaluepctshare
True SR1.08× parp7032.5%
Balls / boundary3.11p76.720%
Balls / six14.75p7032.5%
Early boundaryn/ap5015%
50
Shot Quality 50 = control-% percentile
Control · Consolidation33.3%
Control · Build77.3%
Phase-weighted control75.6%
90
Impact 90 = WPA percentile · total +79
WPA · Death+79
57
Versatility 57 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker3b3b <min
  vs Slower ball5b5b <min
vs Spin (death)p83.316.7%
Reach buildp56.722.2%
6 · pos 7RHB301160833418276603054.6
Scout Score 54.6 = Σ(component × weight)
Componentscoreweight
Production41.840%
Impact56.725%
Versatility59.318%
Shot quality76.74%
Trajectory76.713%
  form Δ (last 3 vs season)1.23×[171, 66, 35]
41.8
Production 41.8 = Σ(percentile × share)
KPIvaluepctshare
True SR0.91× parp63.332.5%
Balls / boundary4.17p63.320%
Balls / six50p3.332.5%
Early boundaryn/ap5015%
76.7
Shot Quality 76.7 = control-% percentile
Control · Consolidation84.9%
Control · Build82.8%
Phase-weighted control83.8%
56.7
Impact 56.7 = WPA percentile · total +2.2
WPA · Death+2.2
59.3
Versatility 59.3 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker1b1b <min
  vs Slower ball0b0b <min
vs Spin (death)p43.316.7%
Reach buildp96.722.2%
7 · pos 8RHB2347368107.4737153.4
Scout Score 53.4 = Σ(component × weight)
Componentscoreweight
Production37.840%
Impact7025%
Versatility5318%
Shot quality96.74%
Trajectory56.713%
  form Δ (last 3 vs season)[24, 48, 0]
37.8
Production 37.8 = Σ(percentile × share)
KPIvaluepctshare
True SR0.8× parp36.732.5%
Balls / boundary6.25p43.320%
Balls / six25p3032.5%
Early boundaryn/ap5015%
96.7
Shot Quality 96.7 = control-% percentile
Control · Consolidation100%
Control · Build83.3%
Phase-weighted control90.5%
70
Impact 70 = WPA percentile · total +5.6
WPA · Death+5.6
53
Versatility 53 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker0b0b <min
  vs Slower ball1b1b <min
vs Spin (death)p5016.7%
Reach buildp63.322.2%
8 · pos 8RHB325364090121252
Scout Score 52 = Σ(component × weight)
Componentscoreweight
Production48.240%
Impact43.325%
Versatility44.418%
Shot quality33.34%
Trajectory96.713%
  form Δ (last 3 vs season)1.67×[4, 0, 17]
48.2
Production 48.2 = Σ(percentile × share)
KPIvaluepctshare
True SR0.76× parp43.332.5%
Balls / boundary8p3020%
Balls / six8p63.332.5%
Early boundaryn/ap5015%
33.3
Shot Quality 33.3 = control-% percentile
Control · Consolidation100%
Control · Build71.4%
Phase-weighted control75%
43.3
Impact 43.3 = WPA percentile · total -4
WPA · Death-4
44.4
Versatility 44.4 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker1b1b <min
  vs Slower ball3b3b <min
vs Spin (death)p7016.7%
Reach buildp1022.2%
9 · pos 6RHB3644641112.215.34043
Scout Score 43 = Σ(component × weight)
Componentscoreweight
Production41.340%
Impact5025%
Versatility43.718%
Shot quality33.34%
Trajectory36.713%
  form Δ (last 3 vs season)0.94×[5, 1, 30]
41.3
Production 41.3 = Σ(percentile × share)
KPIvaluepctshare
True SR0.8× parp5032.5%
Balls / boundary6p5020%
Balls / six36p23.332.5%
Early boundaryn/ap5015%
33.3
Shot Quality 33.3 = control-% percentile
Control · Consolidationn/a
Control · Build75%
Phase-weighted control75%
50
Impact 50 = WPA percentile · total -2.2
WPA · Death-2.2
43.7
Versatility 43.7 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker0b0b <min
  vs Slower ball0b0b <min
vs Spin (death)p3016.7%
Reach buildp36.722.2%
10 · pos 6RHB386464993.97.72242.9
Scout Score 42.9 = Σ(component × weight)
Componentscoreweight
Production39.840%
Impact36.725%
Versatility44.818%
Shot quality16.74%
Trajectory7013%
  form Δ (last 3 vs season)1.16×[7, 3, 26]
39.8
Production 39.8 = Σ(percentile × share)
KPIvaluepctshare
True SR0.67× parp3032.5%
Balls / boundary7.5p36.720%
Balls / six15p46.732.5%
Early boundaryn/ap5015%
16.7
Shot Quality 16.7 = control-% percentile
Control · Consolidation75%
Control · Build65.4%
Phase-weighted control67.6%
36.7
Impact 36.7 = WPA percentile · total -4.1
WPA · Death-4.1
44.8
Versatility 44.8 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker0b0b <min
  vs Slower ball2b2b <min
vs Spin (death)p63.316.7%
Reach buildp16.722.2%
11 · pos 8RHB3071149512022.812234.4
Scout Score 34.4 = Σ(component × weight)
Componentscoreweight
Production42.740%
Impact16.725%
Versatility46.318%
Shot quality23.34%
Trajectory3013%
  form Δ (last 3 vs season)0.93×[11, 26, 12]
42.7
Production 42.7 = Σ(percentile × share)
KPIvaluepctshare
True SR0.86× parp56.732.5%
Balls / boundary4.71p56.720%
Balls / six33p16.732.5%
Early boundaryn/ap5015%
23.3
Shot Quality 23.3 = control-% percentile
Control · Consolidation76.9%
Control · Build72%
Phase-weighted control73.7%
16.7
Impact 16.7 = WPA percentile · total -15.8
WPA · Death-15.8
46.3
Versatility 46.3 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker0b0b <min
  vs Slower ball2b2b <min
vs Spin (death)p36.716.7%
Reach buildp43.322.2%
12 · pos 7RHB2767665116.9195234.4
Scout Score 34.4 = Σ(component × weight)
Componentscoreweight
Production31.740%
Impact23.325%
Versatility58.918%
Shot quality56.74%
Trajectory23.313%
  form Δ (last 3 vs season)0.91×[5, 19, 22]
31.7
Production 31.7 = Σ(percentile × share)
KPIvaluepctshare
True SR0.7× parp23.332.5%
Balls / boundary7.67p23.320%
Balls / six23p36.732.5%
Early boundaryn/ap5015%
56.7
Shot Quality 56.7 = control-% percentile
Control · Consolidation83.3%
Control · Build79.4%
Phase-weighted control80%
23.3
Impact 23.3 = WPA percentile · total -9.8
WPA · Death-9.8
58.9
Versatility 58.9 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker0b0b <min
  vs Slower ball0b0b <min
vs Spin (death)p76.716.7%
Reach buildp7022.2%
13 · pos 8LHB253313686.115.52132.8
Scout Score 32.8 = Σ(component × weight)
Componentscoreweight
Production26.640%
Impact3025%
Versatility43.318%
Shot quality104%
Trajectory5013%
  form Δ (last 3 vs season)[14, 1, 16]
26.6
Production 26.6 = Σ(percentile × share)
KPIvaluepctshare
True SR0.37× parp1032.5%
Balls / boundary15p3.320%
Balls / six15p46.732.5%
Early boundaryn/ap5015%
10
Shot Quality 10 = control-% percentile
Control · Consolidationn/a
Control · Build61.9%
Phase-weighted control61.9%
30
Impact 30 = WPA percentile · total -9
WPA · Death-9
43.3
Versatility 43.3 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker0b0b <min
  vs Slower ball5b5b <min
vs Spin (death)p1016.7%
Reach buildp5022.2%
14 · pos 7RHB245404010013.31229.1
Scout Score 29.1 = Σ(component × weight)
Componentscoreweight
Production34.740%
Impact1025%
Versatility45.218%
Shot quality83.34%
Trajectory1013%
  form Δ (last 3 vs season)0.81×[0, 2, 19]
34.7
Production 34.7 = Σ(percentile × share)
KPIvaluepctshare
True SR0.64× parp16.732.5%
Balls / boundary8.67p16.720%
Balls / six13p56.732.5%
Early boundaryn/ap5015%
83.3
Shot Quality 83.3 = control-% percentile
Control · Consolidationn/a
Control · Build85.7%
Phase-weighted control85.7%
10
Impact 10 = WPA percentile · total -17.5
WPA · Death-17.5
45.2
Versatility 45.2 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker0b0b <min
  vs Slower ball3b3b <min
vs Spin (death)p56.716.7%
Reach buildp23.322.2%
15 · pos 7LHB268505590.98.34113.7
Scout Score 13.7 = Σ(component × weight)
Componentscoreweight
Production13.840%
Impact3.325%
Versatility37.818%
Shot quality3.34%
Trajectory3.313%
  form Δ (last 3 vs season)0.8×[3, 0, 5]
13.8
Production 13.8 = Σ(percentile × share)
KPIvaluepctshare
True SR0.55× parp3.332.5%
Balls / boundary8.5p1020%
Balls / six34p1032.5%
Early boundaryn/ap5015%
3.3
Shot Quality 3.3 = control-% percentile
Control · Consolidation42.9%
Control · Build64.3%
Phase-weighted control57.1%
3.3
Impact 3.3 = WPA percentile · total -27.4
WPA · Death-27.4
37.8
Versatility 37.8 = Σ(pct × share) · * owner cell pending
Matchup defiance (death)p5061.1%
  vs Yorker0b0b <min
  vs Slower ball2b2b <min
vs Spin (death)p3.316.7%
Reach buildp3022.2%
#BowlerTypeAgeOversWktsRunsEconScoreProdQualImpactVers
1 · PP 10.6% MID 70.2% DEATH 19.1%SLA orthodox2147.0113627.775.7
Scout Score 75.7 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay44.110.6%
Middle81.170.2%
Death73.319.1%
Trajectory (econ Δ, all phases)p93.30.76×
73
Bowling Production 73 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 12.2 econp38.210.6%
Middle8w · 7.12 econp74.870.2%
Death2w · 7.33 econp85.319.1%
78.1
Quality 78.1 = false-shots induced (PP+Mid)
False-shot · Powerplay17%p25
False-shot · Middle25%p86.2
69.4
Impact 69.4 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -14.9p46.610.6%
MiddleWPA +29.2p79.870.2%
DeathWPA -8p4419.1%
75.5
Versatility 75.5 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp39.110.6%
Middlep87.270.2%
Deathp52.519.1%
2 · MID 77.3% DEATH 22.7%Off-spin3022.071476.6874.4
Scout Score 74.4 = Σ(phase score × deployment)
Phasescoredeploy
Middle80.177.3%
Death55.122.7%
Trajectory (econ Δ, all phases)p66.30.99×
84.7
Bowling Production 84.7 = Σ(phase × deployment)
Phaselineproddeploy
Middle6w · 5.59 econp9477.3%
Death1w · 10.4 econp53.322.7%
22.3
Quality 22.3 = false-shots induced (PP+Mid)
False-shot · Middle16%p22.3
84.8
Impact 84.8 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA +55.7p92.677.3%
DeathWPA -3.6p58.322.7%
81.4
Versatility 81.4 = Σ(phase × deployment)
Phaseversdeploy
Middlep93.677.3%
Deathp4022.7%
3 · PP 28.1% MID 37.5% DEATH 34.4%Off-spin3610.47807.572.7
Scout Score 72.7 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay59.828.1%
Middle74.837.5%
Death80.934.4%
Trajectory (econ Δ, all phases)p33.71.03×
77.2
Bowling Production 77.2 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 10.67 econp54.828.1%
Middle3w · 5.75 econp84.437.5%
Death3w · 6.82 econp87.634.4%
76.1
Quality 76.1 = false-shots induced (PP+Mid)
False-shot · Powerplay33%p73.9
False-shot · Middle29%p77.7
84.8
Impact 84.8 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -3.1p71.628.1%
MiddleWPA +30.9p81.937.5%
DeathWPA +27.7p98.834.4%
54.2
Versatility 54.2 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp51.628.1%
Middlep60.137.5%
Deathp5034.4%
4 · PP 16.7% MID 76.7% DEATH 6.7%Off-spin30.0102327.7370.3
Scout Score 70.3 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay59.216.7%
Middle7376.7%
Death66.36.7%
Trajectory (econ Δ, all phases)p6.71.22×
73.7
Bowling Production 73.7 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay2w · 9 econp71.116.7%
Middle7w · 7.61 econp74.276.7%
Death1w · 6 econp74.56.7%
77
Quality 77 = false-shots induced (PP+Mid)
False-shot · Powerplay17%p25
False-shot · Middle25%p88.3
87.9
Impact 87.9 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +1.6p78.416.7%
MiddleWPA +48.7p90.476.7%
DeathWPA +3.1p82.16.7%
67.3
Versatility 67.3 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp65.916.7%
Middlep69.176.7%
Deathp506.7%
5 · PP 24.1% MID 69% DEATH 6.9%SLA orthodox29.072207.5967
Scout Score 67 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay37.124.1%
Middle75.469%
Death86.86.9%
Trajectory (econ Δ, all phases)p77.90.93×
62.8
Bowling Production 62.8 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 11.14 econp35.924.1%
Middle4w · 6.75 econp69.869%
Death2w · 3.5 econp87.76.9%
44.4
Quality 44.4 = false-shots induced (PP+Mid)
False-shot · Powerplay19%p28.4
False-shot · Middle20%p50
77.6
Impact 77.6 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -21.5p26.124.1%
MiddleWPA +63.3p94.769%
DeathWPA +6.4p86.96.9%
74.2
Versatility 74.2 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp43.424.1%
Middlep8369%
Deathp93.86.9%
6 · PP 40.4% MID 40.4% DEATH 19.2%Off-spin2534.4123078.8666.9
Scout Score 66.9 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay63.140.4%
Middle61.740.4%
Death85.919.2%
Trajectory (econ Δ, all phases)p22.11.1×
66.2
Bowling Production 66.2 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay4w · 9.14 econp70.340.4%
Middle4w · 9.14 econp48.840.4%
Death4w · 7.65 econp9419.2%
92.2
Quality 92.2 = false-shots induced (PP+Mid)
False-shot · Powerplay29%p87.5
False-shot · Middle29%p96.8
74.1
Impact 74.1 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -12.1p53.440.4%
MiddleWPA +33.3p8440.4%
DeathWPA +9.6p96.419.2%
62.8
Versatility 62.8 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp66.840.4%
Middlep44.740.4%
Deathp92.519.2%
7 · PP 9.2% MID 81.5% DEATH 9.2%SLA orthodox2821.471898.7266.6
Scout Score 66.6 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay34.69.2%
Middle71.981.5%
Death51.49.2%
Trajectory (econ Δ, all phases)p85.60.91×
69.2
Bowling Production 69.2 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 15.5 econp25.29.2%
Middle6w · 7.7 econp75.781.5%
Death1w · 11 econp55.79.2%
46.6
Quality 46.6 = false-shots induced (PP+Mid)
False-shot · Powerplay17%p35.2
False-shot · Middle20%p47.9
77.1
Impact 77.1 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -21p28.49.2%
MiddleWPA +39.8p88.381.5%
DeathWPA -13p27.49.2%
43.9
Versatility 43.9 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp34.89.2%
Middlep44.781.5%
Deathp46.29.2%
8 · PP 61.3% MID 8% DEATH 30.7%RA pace2337.393499.3166.2
Scout Score 66.2 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay82.961.3%
Middle55.98%
Death35.730.7%
Trajectory (econ Δ, all phases)p89.40.88×
57.4
Bowling Production 57.4 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay6w · 7.91 econp77.161.3%
Middle1w · 9 econp52.18%
Death2w · 12.17 econp19.430.7%
95.5
Quality 95.5 = false-shots induced (PP+Mid)
False-shot · Powerplay33%p98.9
False-shot · Middle28%p69.1
58.7
Impact 58.7 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +3.8p8361.3%
MiddleWPA -4.1p47.98%
DeathWPA -36p13.130.7%
73.8
Versatility 73.8 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp73.961.3%
Middlep40.48%
Deathp82.430.7%
9 · PP 33.5% MID 36.1% DEATH 30.5%SLA orthodox2238.5163118.0165.2
Scout Score 65.2 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay41.933.5%
Middle91.836.1%
Death59.530.5%
Trajectory (econ Δ, all phases)p760.94×
76.4
Bowling Production 76.4 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay3w · 10.15 econp5533.5%
Middle8w · 5 econp98.936.1%
Death5w · 9.21 econp73.330.5%
38.6
Quality 38.6 = false-shots induced (PP+Mid)
False-shot · Powerplay12%p1.1
False-shot · Middle24%p73.4
52.1
Impact 52.1 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -20.6p30.733.5%
MiddleWPA +87.5p96.836.1%
DeathWPA -13.8p22.630.5%
67.6
Versatility 67.6 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp49.833.5%
Middlep94.736.1%
Deathp5530.5%
10 · PP 50% MID 25% DEATH 25%RA pace218.04688.564.4
Scout Score 64.4 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay71.450%
Middle61.225%
Death53.725%
Trajectory (econ Δ, all phases)p56.7
66.7
Bowling Production 66.7 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay2w · 8.25 econp76.450%
Middle1w · 6.5 econp6825%
Death1w · 11 econp4625%
40.1
Quality 40.1 = false-shots induced (PP+Mid)
False-shot · Powerplay21%p42
False-shot · Middle8%p36.2
77.3
Impact 77.3 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +9.6p87.550%
MiddleWPA +7.9p71.325%
DeathWPA -3.2p63.125%
62.3
Versatility 62.3 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp67.750%
Middlep53.725%
Deathp60.225%
11 · PP 19.4% MID 61.3% DEATH 19.4%SLA orthodox2336.1113208.8563
Scout Score 63 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay20.819.4%
Middle8161.3%
Death48.119.4%
Trajectory (econ Δ, all phases)p20.21.11×
69.5
Bowling Production 69.5 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 12.57 econp28.619.4%
Middle8w · 6.95 econp90.461.3%
Death2w · 11.14 econp44.219.4%
67.4
Quality 67.4 = false-shots induced (PP+Mid)
False-shot · Powerplay17%p21.6
False-shot · Middle25%p81.9
75.4
Impact 75.4 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -58.8p3.419.4%
MiddleWPA +106.8p98.961.3%
DeathWPA +1.2p72.619.4%
54.1
Versatility 54.1 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp37.319.4%
Middlep63.861.3%
Deathp4019.4%
12 · PP 47.2% MID 19.4% DEATH 33.3%RA pace3536.0123148.7262.1
Scout Score 62.1 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay67.447.2%
Middle59.519.4%
Death56.233.3%
Trajectory (econ Δ, all phases)p47.1
68.8
Bowling Production 68.8 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay4w · 9.12 econp64.447.2%
Middle1w · 6.71 econp54.819.4%
Death7w · 9.33 econp83.333.3%
90.4
Quality 90.4 = false-shots induced (PP+Mid)
False-shot · Powerplay33%p96.6
False-shot · Middle26%p75.5
45.5
Impact 45.5 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -6.8p64.847.2%
MiddleWPA +0.5p58.519.4%
DeathWPA -39.6p10.733.3%
60.1
Versatility 60.1 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp62.747.2%
Middlep6719.4%
Deathp52.433.3%
13 · PP 16.7% MID 50% DEATH 33.3%RA pace3018.071699.3961.2
Scout Score 61.2 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay43.316.7%
Middle69.950%
Death57.233.3%
Trajectory (econ Δ, all phases)p81.70.92×
60.8
Bowling Production 60.8 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 12.33 econp26.916.7%
Middle3w · 8 econp65.850%
Death4w · 10 econp70.233.3%
75.5
Quality 75.5 = false-shots induced (PP+Mid)
False-shot · Powerplay22%p50
False-shot · Middle28%p84
55.8
Impact 55.8 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -14.1p48.916.7%
MiddleWPA +9.6p75.550%
DeathWPA -12.7p29.833.3%
42.6
Versatility 42.6 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp4216.7%
Middlep43.650%
Deathp41.333.3%
14 · PP 59% MID 33.3% DEATH 7.7%Off-spin3839.0142977.6261.1
Scout Score 61.1 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay74.859%
Middle34.433.3%
Death71.87.7%
Trajectory (econ Δ, all phases)p18.31.15×
76.9
Bowling Production 76.9 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay9w · 7.22 econp9559%
Middle3w · 8.77 econp42.133.3%
Death2w · 5.67 econp897.7%
29.1
Quality 29.1 = false-shots induced (PP+Mid)
False-shot · Powerplay17%p14.8
False-shot · Middle20%p54.3
68
Impact 68 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +62.1p98.959%
MiddleWPA -24.9p13.833.3%
DeathWPA +0p66.77.7%
64.3
Versatility 64.3 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp79.159%
Middlep41.533.3%
Deathp507.7%
15 · PP 64% MID 12% DEATH 24%RA pace3225.092489.9260.6
Scout Score 60.6 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay61.464%
Middle41.612%
Death67.824%
Trajectory (econ Δ, all phases)p68.30.98×
61.7
Bowling Production 61.7 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay4w · 9.25 econp66.264%
Middle2w · 13 econp46.412%
Death3w · 10.17 econp57.524%
81.5
Quality 81.5 = false-shots induced (PP+Mid)
False-shot · Powerplay28%p85.2
False-shot · Middle22%p61.7
47.2
Impact 47.2 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -19.1p35.264%
MiddleWPA -15p22.312%
DeathWPA +7.1p91.724%
62.4
Versatility 62.4 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp71.464%
Middlep19.112%
Deathp60.224%
16 · PP 17.9% MID 75% DEATH 7.1%SLA orthodox28.062037.2560.3
Scout Score 60.3 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay90.617.9%
Middle53.175%
Death59.97.1%
Trajectory (econ Δ, all phases)p87.50.9×
57.3
Bowling Production 57.3 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay5w · 7 econp92.617.9%
Middle1w · 7.05 econp49.675%
Death0w · 10 econp49.97.1%
34
Quality 34 = false-shots induced (PP+Mid)
False-shot · Powerplay40%p92
False-shot · Middle16%p20.2
61.1
Impact 61.1 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +19.6p9217.9%
MiddleWPA -2.9p52.175%
DeathWPA +1.9p77.47.1%
75.6
Versatility 75.6 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp79.817.9%
Middlep78.775%
Deathp32.57.1%
17 · PP 30.6% MID 50% DEATH 19.4%SLA orthodox2636.0132777.6959.4
Scout Score 59.4 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay64.830.6%
Middle69.550%
Death25.319.4%
Trajectory (econ Δ, all phases)p11.29×
74.8
Bowling Production 74.8 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay3w · 6.45 econp79.830.6%
Middle6w · 6.83 econp87.450%
Death4w · 11.86 econp34.719.4%
39.7
Quality 39.7 = false-shots induced (PP+Mid)
False-shot · Powerplay17%p19.3
False-shot · Middle20%p52.1
67.4
Impact 67.4 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +17.2p89.830.6%
MiddleWPA +9.8p77.750%
DeathWPA -53.6p619.4%
70.4
Versatility 70.4 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp7230.6%
Middlep74.550%
Deathp57.519.4%
18 · PP 14.2% MID 56.9% DEATH 28.9%RA pace2735.183229.1659
Scout Score 59 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay73.214.2%
Middle72.856.9%
Death24.928.9%
Trajectory (econ Δ, all phases)p990.68×
44.6
Bowling Production 44.6 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay2w · 10.2 econp63.614.2%
Middle3w · 7.05 econp57.856.9%
Death3w · 12.79 econp9.528.9%
69.1
Quality 69.1 = false-shots induced (PP+Mid)
False-shot · Powerplay30%p77.3
False-shot · Middle22%p67
60.8
Impact 60.8 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +2.8p80.714.2%
MiddleWPA +36.5p86.256.9%
DeathWPA -69.8p1.228.9%
68.2
Versatility 68.2 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp5814.2%
Middlep77.756.9%
Deathp54.628.9%
19 · PP 48.8% MID 17.1% DEATH 34.1%RA pace2720.371889.1758.3
Scout Score 58.3 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay47.448.8%
Middle59.917.1%
Death73.134.1%
Trajectory (econ Δ, all phases)p45.2
56.8
Bowling Production 56.8 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 10 econp39.148.8%
Middle1w · 8 econp53.817.1%
Death5w · 8.57 econp83.734.1%
55.2
Quality 55.2 = false-shots induced (PP+Mid)
False-shot · Powerplay22%p46.6
False-shot · Middle33%p79.8
70.9
Impact 70.9 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -9.2p60.248.8%
MiddleWPA +4.2p64.917.1%
DeathWPA +6.6p89.334.1%
44.6
Versatility 44.6 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp47.548.8%
Middlep56.417.1%
Deathp34.634.1%
20 · PP 29.4% MID 58.8% DEATH 11.8%Off-spin17.061428.3556.5
Scout Score 56.5 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay65.229.4%
Middle56.358.8%
Death35.911.8%
Trajectory (econ Δ, all phases)p261.08×
71.2
Bowling Production 71.2 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay2w · 9.6 econp70.329.4%
Middle3w · 6.7 econp78.558.8%
Death1w · 13.5 econp36.911.8%
88.9
Quality 88.9 = false-shots induced (PP+Mid)
False-shot · Powerplay30%p77.3
False-shot · Middle30%p94.7
24.4
Impact 24.4 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -5.9p6729.4%
MiddleWPA -66.5p1.158.8%
DeathWPA -9.2p34.511.8%
70
Versatility 70 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp61.629.4%
Middlep78.758.8%
Deathp47.511.8%
21 · PP 20.7% MID 65.5% DEATH 13.8%Off-spin2929.062588.955.6
Scout Score 55.6 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay48.220.7%
Middle59.865.5%
Death46.913.8%
Trajectory (econ Δ, all phases)p83.70.92×
53.6
Bowling Production 53.6 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 11.33 econp36.520.7%
Middle4w · 7.47 econp60.865.5%
Death1w · 12 econp45.113.8%
4.4
Quality 4.4 = false-shots induced (PP+Mid)
False-shot · Powerplay11%p8
False-shot · Middle13%p3.2
68.3
Impact 68.3 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +0.7p76.120.7%
MiddleWPA +8.2p73.465.5%
DeathWPA -9.8p32.113.8%
67.1
Versatility 67.1 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp41.820.7%
Middlep78.765.5%
Deathp5013.8%
22 · MID 57.1% DEATH 42.9%SLA orthodox187.01608.5753.3
Scout Score 53.3 = Σ(phase score × deployment)
Phasescoredeploy
Middle33.657.1%
Death79.542.9%
Trajectory (econ Δ, all phases)p56.7
48.8
Bowling Production 48.8 = Σ(phase × deployment)
Phaselineproddeploy
Middle0w · 10.5 econp22.157.1%
Death1w · 6 econp84.442.9%
39.4
Quality 39.4 = false-shots induced (PP+Mid)
False-shot · Middle17%p39.4
58.1
Impact 58.1 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA -9.1p38.357.1%
DeathWPA +3.5p84.542.9%
47
Versatility 47 = Σ(phase × deployment)
Phaseversdeploy
Middlep33.557.1%
Deathp6542.9%
23 · PP 32.1% MID 50% DEATH 17.9%Off-spin2328.092448.7152.5
Scout Score 52.5 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay82.132.1%
Middle3350%
Death53.617.9%
Trajectory (econ Δ, all phases)p91.30.85×
56.9
Bowling Production 56.9 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay4w · 8.44 econp8332.1%
Middle2w · 8.36 econp39.250%
Death3w · 10.2 econp59.617.9%
27.2
Quality 27.2 = false-shots induced (PP+Mid)
False-shot · Powerplay22%p54.5
False-shot · Middle13%p9.6
38.5
Impact 38.5 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +23.2p94.332.1%
MiddleWPA -39.3p3.250%
DeathWPA -9.1p36.917.9%
54.7
Versatility 54.7 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp78.232.1%
Middlep56.450%
Deathp7.517.9%
24 · PP 45.5% MID 36.4% DEATH 18.2%RA pace2622.0422310.1450.2
Scout Score 50.2 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay36.345.5%
Middle65.836.4%
Death53.818.2%
Trajectory (econ Δ, all phases)p72.10.96×
42.2
Bowling Production 42.2 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 10.8 econp29.745.5%
Middle3w · 8.12 econp61.636.4%
Death1w · 12.5 econp34.318.2%
79.7
Quality 79.7 = false-shots induced (PP+Mid)
False-shot · Powerplay25%p69.3
False-shot · Middle31%p92.6
47.7
Impact 47.7 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -36.4p1745.5%
MiddleWPA +2.5p62.836.4%
DeathWPA +7.6p9418.2%
35.8
Versatility 35.8 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp27.545.5%
Middlep46.836.4%
Deathp34.618.2%
25 · PP 48% MID 36%RA pace328.229010.850.1
Scout Score 50.1 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay35.148%
Middle70.136%
Trajectory (econ Δ, all phases)p56.7
39.7
Bowling Production 39.7 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 12.25 econp20.248%
Middle1w · 6.33 econp65.636%
66.4
Quality 66.4 = false-shots induced (PP+Mid)
False-shot · Powerplay21%p42
False-shot · Middle44%p98.9
55
Impact 55 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -16p44.348%
MiddleWPA +5.2p69.136%
46.3
Versatility 46.3 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp34.848%
Middlep61.736%
26 · PP 41.5% MID 41.5% DEATH 17.1%SLA orthodox3341.093418.3247.2
Scout Score 47.2 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay38.141.5%
Middle54.441.5%
Death5217.1%
Trajectory (econ Δ, all phases)p10.61.2×
63.2
Bowling Production 63.2 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay3w · 8.94 econp59.941.5%
Middle4w · 7.35 econp66.341.5%
Death2w · 9.14 econp63.617.1%
16.2
Quality 16.2 = false-shots induced (PP+Mid)
False-shot · Powerplay15%p5.7
False-shot · Middle17%p26.6
47.5
Impact 47.5 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -19.7p3341.5%
MiddleWPA +0.5p60.641.5%
DeathWPA -4.6p51.217.1%
55.9
Versatility 55.9 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp4541.5%
Middlep74.541.5%
Deathp37.517.1%
27 · PP 44.4% MID 38.9% DEATH 16.7%SLA orthodox2518.021598.8347
Scout Score 47 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay58.544.4%
Middle26.538.9%
Death64.516.7%
Trajectory (econ Δ, all phases)p70.20.97×
41.2
Bowling Production 41.2 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 8.62 econp52.244.4%
Middle0w · 9.29 econp20.338.9%
Death1w · 8.33 econp60.616.7%
36.4
Quality 36.4 = false-shots induced (PP+Mid)
False-shot · Powerplay23%p58
False-shot · Middle12%p11.7
47.3
Impact 47.3 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -7.4p62.544.4%
MiddleWPA -18.3p18.138.9%
DeathWPA +1.8p7516.7%
52.9
Versatility 52.9 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp60.244.4%
Middlep45.738.9%
Deathp5016.7%
28 · MID 83.3%RA pace226.016911.546.9
Scout Score 46.9 = Σ(phase score × deployment)
Phasescoredeploy
Middle46.983.3%
Trajectory (econ Δ, all phases)p56.7
33.9
Bowling Production 33.9 = Σ(phase × deployment)
Phaselineproddeploy
Middle1w · 10 econp33.983.3%
90.4
Quality 90.4 = false-shots induced (PP+Mid)
False-shot · Middle33%p90.4
41.5
Impact 41.5 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA -8.5p41.583.3%
37.2
Versatility 37.2 = Σ(phase × deployment)
Phaseversdeploy
Middlep37.283.3%
29 · PP 11.1% MID 47.2% DEATH 41.7%Off-spin2336.073439.5346.3
Scout Score 46.3 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay26.311.1%
Middle37.547.2%
Death61.541.7%
Trajectory (econ Δ, all phases)p12.51.18×
44.9
Bowling Production 44.9 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 12 econp23.911.1%
Middle2w · 8.94 econp2547.2%
Death5w · 9.53 econp73.141.7%
37.2
Quality 37.2 = false-shots induced (PP+Mid)
False-shot · Powerplay8%p10.2
False-shot · Middle20%p43.6
53.4
Impact 53.4 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -18p39.811.1%
MiddleWPA -0.6p56.447.2%
DeathWPA -4.3p53.641.7%
61.6
Versatility 61.6 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp37.311.1%
Middlep51.147.2%
Deathp8041.7%
30 · PP 75%RA pace254.034912.2545.1
Scout Score 45.1 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay45.175%
Trajectory (econ Δ, all phases)p56.7
37.5
Bowling Production 37.5 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 14 econp37.575%
65.9
Quality 65.9 = false-shots induced (PP+Mid)
False-shot · Powerplay28%p65.9
42
Impact 42 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -17.8p4275%
39.3
Versatility 39.3 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp39.375%
31 · PP 51.9% MID 28.8% DEATH 19.2%RA pace2717.2420011.5444.5
Scout Score 44.5 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay64.451.9%
Middle2528.8%
Death20.219.2%
Trajectory (econ Δ, all phases)p241.08×
43.9
Bowling Production 43.9 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay3w · 9.33 econp71.751.9%
Middle1w · 12 econp20.828.8%
Death0w · 16.8 econp3.619.2%
58.2
Quality 58.2 = false-shots induced (PP+Mid)
False-shot · Powerplay22%p54.5
False-shot · Middle23%p64.9
51
Impact 51 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -0.9p73.951.9%
MiddleWPA -20p1628.8%
DeathWPA -8.3p41.719.2%
43.3
Versatility 43.3 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp65.951.9%
Middlep8.528.8%
Deathp34.619.2%
32 · PP 71.4% DEATH 28.6%RA pace1930.51838112.3644.4
Scout Score 44.4 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay50.471.4%
Death29.428.6%
Trajectory (econ Δ, all phases)p31.71.03×
44.8
Bowling Production 44.8 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay11w · 11.5 econp55.971.4%
Death7w · 14.49 econp17.128.6%
94.3
Quality 94.3 = false-shots induced (PP+Mid)
False-shot · Powerplay30%p94.3
31
Impact 31 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -28p23.971.4%
DeathWPA -6p48.828.6%
48.5
Versatility 48.5 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp54.171.4%
Deathp34.628.6%
33 · PP 15.8% MID 57.9% DEATH 26.3%Off-spin2419.041869.7943.5
Scout Score 43.5 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay26.315.8%
Middle52.657.9%
Death33.826.3%
Trajectory (econ Δ, all phases)p8.71.22×
47.7
Bowling Production 47.7 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 13 econp26.615.8%
Middle3w · 7.18 econp6757.9%
Death1w · 13.6 econp17.826.3%
38.6
Quality 38.6 = false-shots induced (PP+Mid)
False-shot · Powerplay6%p12.5
False-shot · Middle20%p45.7
55.9
Impact 55.9 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -18.3p37.515.8%
MiddleWPA -3.8p5057.9%
DeathWPA +2.2p79.826.3%
48.4
Versatility 48.4 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp33.415.8%
Middlep57.457.9%
Deathp37.526.3%
34 · PP 59.5% MID 8.1% DEATH 32.4%RA pace2837.01440510.9542.5
Scout Score 42.5 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay34.359.5%
Middle55.28.1%
Death54.232.4%
Trajectory (econ Δ, all phases)p16.31.16×
51.4
Bowling Production 51.4 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay9w · 11.77 econp44.159.5%
Middle1w · 7.67 econp61.18.1%
Death4w · 10.25 econp62.332.4%
78
Quality 78 = false-shots induced (PP+Mid)
False-shot · Powerplay27%p83
False-shot · Middle17%p41.5
25.8
Impact 25.8 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -88.8p1.159.5%
MiddleWPA +4.8p678.1%
DeathWPA -3.4p60.732.4%
39.6
Versatility 39.6 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp3259.5%
Middlep61.78.1%
Deathp4832.4%
35 · PP 21.1% MID 50% DEATH 28.9%SLA orthodox2838.01140310.6141.6
Scout Score 41.6 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay14.221.1%
Middle56.850%
Death35.328.9%
Trajectory (econ Δ, all phases)p95.20.74×
43.1
Bowling Production 43.1 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 14.88 econp3.521.1%
Middle6w · 8.32 econp63.850%
Death5w · 11.45 econp36.328.9%
51.2
Quality 51.2 = false-shots induced (PP+Mid)
False-shot · Powerplay8%p3.4
False-shot · Middle23%p71.3
17.7
Impact 17.7 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -57.7p5.721.1%
MiddleWPA -9.7p30.950%
DeathWPA -58.2p3.628.9%
32.7
Versatility 32.7 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp12.721.1%
Middlep38.350%
Deathp37.528.9%
36 · MID 71.4% DEATH 28.6%SLA orthodox217.03689.7141.2
Scout Score 41.2 = Σ(phase score × deployment)
Phasescoredeploy
Middle28.871.4%
Death7228.6%
Trajectory (econ Δ, all phases)p79.80.93×
39.2
Bowling Production 39.2 = Σ(phase × deployment)
Phaselineproddeploy
Middle1w · 10.8 econp27.271.4%
Death2w · 7 econp69.428.6%
14.9
Quality 14.9 = false-shots induced (PP+Mid)
False-shot · Middle10%p14.9
37.5
Impact 37.5 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA -13.8p24.571.4%
DeathWPA +0.5p70.228.6%
36.9
Versatility 36.9 = Σ(phase × deployment)
Phaseversdeploy
Middlep18.171.4%
Deathp83.828.6%
37 · PP 32.4% MID 52.9% DEATH 14.7%SLA orthodox2534.063309.7139.7
Scout Score 39.7 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay55.532.4%
Middle30.652.9%
Death37.814.7%
Trajectory (econ Δ, all phases)p740.95×
36.1
Bowling Production 36.1 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay3w · 10.82 econp49.632.4%
Middle2w · 8.44 econp29.652.9%
Death1w · 11.8 econp29.714.7%
24.4
Quality 24.4 = false-shots induced (PP+Mid)
False-shot · Powerplay24%p62.5
False-shot · Middle12%p1.1
38.6
Impact 38.6 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -9.6p5832.4%
MiddleWPA -12.2p26.652.9%
DeathWPA -8.4p39.314.7%
41.1
Versatility 41.1 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp4232.4%
Middlep42.652.9%
Deathp33.814.7%
38 · PP 43.9% MID 43.9%RA pace266.50821239.4
Scout Score 39.4 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay40.643.9%
Middle38.243.9%
Trajectory (econ Δ, all phases)p29.81.03×
29.5
Bowling Production 29.5 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 11.33 econp32.543.9%
Middle0w · 10.67 econp26.543.9%
55.9
Quality 55.9 = false-shots induced (PP+Mid)
False-shot · Powerplay22%p50
False-shot · Middle22%p61.7
47.4
Impact 47.4 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -13.7p51.143.9%
MiddleWPA -7.4p43.643.9%
40.7
Versatility 40.7 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp4043.9%
Middlep41.543.9%
39 · PP 39.1% MID 52.2% DEATH 8.7%LA pace2623.0727311.8739.2
Scout Score 39.2 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay37.339.1%
Middle40.652.2%
Death40.38.7%
Trajectory (econ Δ, all phases)p97.10.73×
36.1
Bowling Production 36.1 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay3w · 12.78 econp36.139.1%
Middle4w · 10.33 econp39.752.2%
Death0w · 17 econp14.18.7%
34.3
Quality 34.3 = false-shots induced (PP+Mid)
False-shot · Powerplay20%p37.5
False-shot · Middle17%p31.9
31.6
Impact 31.6 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -38.4p14.839.1%
MiddleWPA -9.1p38.352.2%
DeathWPA +0p66.78.7%
25.7
Versatility 25.7 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp42.339.1%
Middlep11.752.2%
Deathp34.68.7%
40 · PP 66.7% DEATH 33.3%RA pace356.019415.6738.4
Scout Score 38.4 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay3666.7%
Death43.233.3%
Trajectory (econ Δ, all phases)p56.7
24.7
Bowling Production 24.7 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 16 econp2366.7%
Death0w · 15 econp2833.3%
89.8
Quality 89.8 = false-shots induced (PP+Mid)
False-shot · Powerplay42%p89.8
31.5
Impact 31.5 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -36.4p19.366.7%
DeathWPA -3.9p5633.3%
39.2
Versatility 39.2 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp28.666.7%
Deathp60.233.3%
41 · PP 15% MID 77.5% DEATH 7.5%SLA orthodox2926.472328.737.7
Scout Score 37.7 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay71.115%
Middle31.777.5%
Death32.17.5%
Trajectory (econ Δ, all phases)p2.91.29×
47.5
Bowling Production 47.5 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay2w · 5 econp88.715%
Middle5w · 9 econp40.777.5%
Death0w · 13 econp35.27.5%
30.9
Quality 30.9 = false-shots induced (PP+Mid)
False-shot · Powerplay21%p42
False-shot · Middle17%p28.7
41.8
Impact 41.8 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +6.5p85.215%
MiddleWPA -9.5p3377.5%
DeathWPA -7.2p46.47.5%
34.7
Versatility 34.7 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp7815%
Middlep28.777.5%
Deathp107.5%
42 · MID 88.9%Leg-spin249.01869.5636.5
Scout Score 36.5 = Σ(phase score × deployment)
Phasescoredeploy
Middle36.588.9%
Trajectory (econ Δ, all phases)p56.7
38.2
Bowling Production 38.2 = Σ(phase × deployment)
Phaselineproddeploy
Middle1w · 8.5 econp38.288.9%
58.5
Quality 58.5 = false-shots induced (PP+Mid)
False-shot · Middle21%p58.5
7.4
Impact 7.4 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA -29.2p7.488.9%
47.3
Versatility 47.3 = Σ(phase × deployment)
Phaseversdeploy
Middlep47.388.9%
43 · PP 42.9% MID 57.1%LA pace237.018311.8636.2
Scout Score 36.2 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay52.642.9%
Middle23.957.1%
Trajectory (econ Δ, all phases)p56.7
28.4
Bowling Production 28.4 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 11 econp49.242.9%
Middle0w · 12.5 econp12.757.1%
45.4
Quality 45.4 = false-shots induced (PP+Mid)
False-shot · Powerplay17%p30.7
False-shot · Middle21%p56.4
35.2
Impact 35.2 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -4.3p69.342.9%
MiddleWPA -27.9p9.657.1%
33.4
Versatility 33.4 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp49.542.9%
Middlep21.357.1%
44 · PP 75% DEATH 25%RA pace2116.0620612.8836.1
Scout Score 36.1 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay35.675%
Death37.525%
Trajectory (econ Δ, all phases)p41.31.01×
36.2
Bowling Production 36.2 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay4w · 12.67 econp36.275%
Death2w · 13.5 econp36.125%
80.7
Quality 80.7 = false-shots induced (PP+Mid)
False-shot · Powerplay28%p80.7
11
Impact 11 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -53.8p875%
DeathWPA -14.1p20.225%
43.2
Versatility 43.2 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp3575%
Deathp6825%
45 · PP 15.4% MID 84.6%Off-spin2813.011189.0835.3
Scout Score 35.3 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay36.215.4%
Middle35.284.6%
Trajectory (econ Δ, all phases)p37.51.02×
38.8
Bowling Production 38.8 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 15 econp28.815.4%
Middle1w · 8 econp40.784.6%
8.9
Quality 8.9 = false-shots induced (PP+Mid)
False-shot · Powerplay0%p17
False-shot · Middle12%p7.4
32.9
Impact 32.9 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -9.7p55.715.4%
MiddleWPA -12.1p28.784.6%
60
Versatility 60 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp39.115.4%
Middlep63.884.6%
46 · PP 64.5% MID 6.5% DEATH 29%RA pace3031.0734711.1933.1
Scout Score 33.1 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay36.764.5%
Middle31.26.5%
Death25.629%
Trajectory (econ Δ, all phases)p35.61.02×
37.1
Bowling Production 37.1 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay4w · 10.3 econp47.464.5%
Middle0w · 13 econp24.26.5%
Death3w · 12.78 econp17.129%
33.3
Quality 33.3 = false-shots induced (PP+Mid)
False-shot · Powerplay21%p33
False-shot · Middle8%p36.2
23.5
Impact 23.5 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -29.7p21.664.5%
MiddleWPA -9.4p35.16.5%
DeathWPA -13.6p2529%
43.7
Versatility 43.7 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp43.664.5%
Middlep35.16.5%
Deathp45.729%
47 · MID 50% DEATH 50%RA pace2210.0311311.330.5
Scout Score 30.5 = Σ(phase score × deployment)
Phasescoredeploy
Middle33.950%
Death27.150%
Trajectory (econ Δ, all phases)p39.41.02×
24.9
Bowling Production 24.9 = Σ(phase × deployment)
Phaselineproddeploy
Middle0w · 9 econp24.850%
Death3w · 13.6 econp2550%
14.9
Quality 14.9 = false-shots induced (PP+Mid)
False-shot · Middle10%p14.9
34.9
Impact 34.9 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA -0.7p54.350%
DeathWPA -19.3p15.550%
41.4
Versatility 41.4 = Σ(phase × deployment)
Phaseversdeploy
Middlep39.450%
Deathp43.550%
48 · MID 80%SLA orthodox275.015410.829.9
Scout Score 29.9 = Σ(phase score × deployment)
Phasescoredeploy
Middle29.980%
Trajectory (econ Δ, all phases)p56.7
22.1
Bowling Production 22.1 = Σ(phase × deployment)
Phaselineproddeploy
Middle0w · 10.5 econp22.180%
5.3
Quality 5.3 = false-shots induced (PP+Mid)
False-shot · Middle4%p5.3
45.7
Impact 45.7 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA -5.5p45.780%
29.8
Versatility 29.8 = Σ(phase × deployment)
Phaseversdeploy
Middlep29.880%
49 · PP 10.3% MID 86.2%Off-spin3029.082749.4523.9
Scout Score 23.9 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay79.910.3%
Middle17.286.2%
Trajectory (econ Δ, all phases)p14.41.16×
33.4
Bowling Production 33.4 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay3w · 5.33 econp90.810.3%
Middle5w · 9.72 econp26.586.2%
23.2
Quality 23.2 = false-shots induced (PP+Mid)
False-shot · Powerplay28%p65.9
False-shot · Middle16%p18.1
15.1
Impact 15.1 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA +31p96.610.3%
MiddleWPA -29.2p5.386.2%
20.9
Versatility 20.9 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp79.510.3%
Middlep13.886.2%
50 · PP 25% MID 41.7% DEATH 33.3%RA pace3224.0527511.4623.5
Scout Score 23.5 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay32.725%
Middle17.141.7%
Death24.633.3%
Trajectory (econ Δ, all phases)p27.91.07×
18.4
Bowling Production 18.4 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay0w · 10.67 econp3325%
Middle1w · 10.6 econp11.341.7%
Death4w · 13.12 econp16.333.3%
42.2
Quality 42.2 = false-shots induced (PP+Mid)
False-shot · Powerplay28%p71.6
False-shot · Middle15%p24.5
17.5
Impact 17.5 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -38.7p12.525%
MiddleWPA -16.6p20.241.7%
DeathWPA -15.2p17.933.3%
32.6
Versatility 32.6 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp32.525%
Middlep10.641.7%
Deathp60.233.3%
51 · PP 54.5% DEATH 39.4%RA pace2716.3720012.1223.1
Scout Score 23.1 = Σ(phase score × deployment)
Phasescoredeploy
Powerplay18.254.5%
Death29.839.4%
Trajectory (econ Δ, all phases)p4.81.24×
22.7
Bowling Production 22.7 = Σ(phase × deployment)
Phaselineproddeploy
Powerplay1w · 13.11 econp9.554.5%
Death6w · 11.69 econp40.939.4%
60.2
Quality 60.2 = false-shots induced (PP+Mid)
False-shot · Powerplay24%p60.2
9.4
Impact 9.4 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
PowerplayWPA -53.5p10.254.5%
DeathWPA -43.3p8.339.4%
34.5
Versatility 34.5 = Σ(phase × deployment)
Phaseversdeploy
Powerplayp23.254.5%
Deathp50.239.4%
52 · MID 92.3%Leg-spin13.021239.4619.1
Scout Score 19.1 = Σ(phase score × deployment)
Phasescoredeploy
Middle19.192.3%
Trajectory (econ Δ, all phases)p43.3
11.6
Bowling Production 11.6 = Σ(phase × deployment)
Phaselineproddeploy
Middle1w · 9.67 econp11.692.3%
31.9
Quality 31.9 = false-shots induced (PP+Mid)
False-shot · Middle17%p31.9
11.7
Impact 11.7 = Σ(WPA percentile × deployment)
Phasewpapctdeploy
MiddleWPA -25.7p11.792.3%
22.3
Versatility 22.3 = Σ(phase × deployment)
Phaseversdeploy
Middlep22.392.3%
#BowlerTypeAgeOversWktsRunsEconProdQualImpactVers
1 · 59% of his oversOff-spin3823.091667.2295
Phase Production 95 vs all bowlers · n=44
KPIvaluepctshare
True economy0.709× parp98.936.8%
Wicket rate0.39/ovp89.842.1%
Boundary %17%p98.921.1%
14.8
Quality 14.8 = false-shots induced
False-shot %17%
98.9
Impact 98.9 = WPA percentile in phase
WPA (this phase)+62.1
79.1
Versatility 79.1 = Σ(pct × share)
Econ vs RHBp98.930%
Econ vs LHBp9230%
Wkt vs RHBp98.920%
Wkt vs LHBp10.220%
2 · 17.9% of his oversSLA orthodox5.0535792.6
Phase Production 92.6 vs all bowlers · n=44
KPIvaluepctshare
True economy0.688× parp89.836.8%
Wicket rate1.00/ovp98.942.1%
Boundary %17%p85.221.1%
92
Quality 92 = false-shots induced
False-shot %40%
92
Impact 92 = WPA percentile in phase
WPA (this phase)+19.6
79.8
Versatility 79.8 = Σ(pct × share)
Econ vs RHBp87.530%
Econ vs LHBp51.130%
Wkt vs RHBp9220%
Wkt vs LHBp98.920%
3 · 10.3% of his oversOff-spin303.03165.3390.8
Phase Production 90.8 vs all bowlers · n=44
KPIvaluepctshare
True economy0.524× parp87.536.8%
Wicket rate1.00/ovp94.342.1%
Boundary %6%p89.821.1%
65.9
Quality 65.9 = false-shots induced
False-shot %28%
96.6
Impact 96.6 = WPA percentile in phase
WPA (this phase)+31
79.5
Versatility 79.5 = Σ(pct × share)
Econ vs RHBp53.430%
Econ vs LHBp96.630%
Wkt vs RHBp76.120%
Wkt vs LHBp96.620%
4 · 15% of his oversSLA orthodox294.0220588.7
Phase Production 88.7 vs all bowlers · n=44
KPIvaluepctshare
True economy0.491× parp9236.8%
Wicket rate0.50/ovp84.142.1%
Boundary %4%p9221.1%
42
Quality 42 = false-shots induced
False-shot %21%
85.2
Impact 85.2 = WPA percentile in phase
WPA (this phase)+6.5
78
Versatility 78 = Σ(pct × share)
Econ vs RHBp89.830%
Econ vs LHBp69.330%
Wkt vs RHBp87.520%
Wkt vs LHBp63.620%
5 · 32.1% of his oversOff-spin239.04768.4483
Phase Production 83 vs all bowlers · n=44
KPIvaluepctshare
True economy0.83× parp8336.8%
Wicket rate0.44/ovp87.542.1%
Boundary %24%p73.921.1%
54.5
Quality 54.5 = false-shots induced
False-shot %22%
94.3
Impact 94.3 = WPA percentile in phase
WPA (this phase)+23.2
78.2
Versatility 78.2 = Σ(pct × share)
Econ vs RHBp64.830%
Econ vs LHBp94.330%
Wkt vs RHBp60.220%
Wkt vs LHBp9220%
6 · 30.6% of his oversSLA orthodox2611.03716.4579.8
Phase Production 79.8 vs all bowlers · n=44
KPIvaluepctshare
True economy0.634× parp96.636.8%
Wicket rate0.27/ovp56.842.1%
Boundary %15%p96.621.1%
19.3
Quality 19.3 = false-shots induced
False-shot %17%
89.8
Impact 89.8 = WPA percentile in phase
WPA (this phase)+17.2
72
Versatility 72 = Σ(pct × share)
Econ vs RHBp96.630%
Econ vs LHBp8330%
Wkt vs RHBp85.220%
Wkt vs LHBp5.720%
7 · 61.3% of his oversRA pace2323.061827.9177.1
Phase Production 77.1 vs all bowlers · n=44
KPIvaluepctshare
True economy0.777× parp94.336.8%
Wicket rate0.26/ovp53.442.1%
Boundary %20%p94.321.1%
98.9
Quality 98.9 = false-shots induced
False-shot %33%
83
Impact 83 = WPA percentile in phase
WPA (this phase)+3.8
73.9
Versatility 73.9 = Σ(pct × share)
Econ vs RHBp94.330%
Econ vs LHBp98.930%
Wkt vs RHBp64.820%
Wkt vs LHBp14.820%
8 · 50% of his oversRA pace214.02338.2576.4
Phase Production 76.4 vs all bowlers · n=44
KPIvaluepctshare
True economy0.81× parp71.636.8%
Wicket rate0.50/ovp84.142.1%
Boundary %21%p69.321.1%
42
Quality 42 = false-shots induced
False-shot %21%
87.5
Impact 87.5 = WPA percentile in phase
WPA (this phase)+9.6
67.7
Versatility 67.7 = Σ(pct × share)
Econ vs RHBp80.730%
Econ vs LHBp4230%
Wkt vs RHBp80.720%
Wkt vs LHBp73.920%
9 · 51.9% of his oversRA pace279.03849.3371.7
Phase Production 71.7 vs all bowlers · n=44
KPIvaluepctshare
True economy0.917× parp69.336.8%
Wicket rate0.34/ovp70.542.1%
Boundary %22%p78.421.1%
54.5
Quality 54.5 = false-shots induced
False-shot %22%
73.9
Impact 73.9 = WPA percentile in phase
WPA (this phase)-0.9
65.9
Versatility 65.9 = Σ(pct × share)
Econ vs RHBp60.230%
Econ vs LHBp76.130%
Wkt vs RHBp37.520%
Wkt vs LHBp87.520%
10 · 16.7% of his oversOff-spin5.0245971.1
Phase Production 71.1 vs all bowlers · n=44
KPIvaluepctshare
True economy0.884× parp6736.8%
Wicket rate0.40/ovp78.442.1%
Boundary %23%p63.621.1%
25
Quality 25 = false-shots induced
False-shot %17%
78.4
Impact 78.4 = WPA percentile in phase
WPA (this phase)+1.6
65.9
Versatility 65.9 = Σ(pct × share)
Econ vs RHBp55.730%
Econ vs LHBp71.630%
Wkt vs RHBp5820%
Wkt vs LHBp80.720%
11 · 40.4% of his oversOff-spin2514.041289.1470.3
Phase Production 70.3 vs all bowlers · n=44
KPIvaluepctshare
True economy0.898× parp78.436.8%
Wicket rate0.29/ovp60.242.1%
Boundary %24%p76.121.1%
87.5
Quality 87.5 = false-shots induced
False-shot %29%
53.4
Impact 53.4 = WPA percentile in phase
WPA (this phase)-12.1
66.8
Versatility 66.8 = Σ(pct × share)
Econ vs RHBp6730%
Econ vs LHBp87.530%
Wkt vs RHBp12.520%
Wkt vs LHBp89.820%
12 · 29.4% of his oversOff-spin5.02489.670.3
Phase Production 70.3 vs all bowlers · n=44
KPIvaluepctshare
True economy0.943× parp64.836.8%
Wicket rate0.40/ovp78.442.1%
Boundary %23%p63.621.1%
77.3
Quality 77.3 = false-shots induced
False-shot %30%
67
Impact 67 = WPA percentile in phase
WPA (this phase)-5.9
61.6
Versatility 61.6 = Σ(pct × share)
Econ vs RHBp39.830%
Econ vs LHBp73.930%
Wkt vs RHBp54.520%
Wkt vs LHBp8320%
13 · 64% of his oversRA pace3216.041489.2566.2
Phase Production 66.2 vs all bowlers · n=44
KPIvaluepctshare
True economy0.909× parp73.936.8%
Wicket rate0.25/ovp48.942.1%
Boundary %22%p87.521.1%
85.2
Quality 85.2 = false-shots induced
False-shot %28%
35.2
Impact 35.2 = WPA percentile in phase
WPA (this phase)-19.1
71.4
Versatility 71.4 = Σ(pct × share)
Econ vs RHBp76.130%
Econ vs LHBp89.830%
Wkt vs RHBp47.720%
Wkt vs LHBp60.220%
14 · 47.2% of his oversRA pace3517.041559.1264.4
Phase Production 64.4 vs all bowlers · n=44
KPIvaluepctshare
True economy0.896× parp80.736.8%
Wicket rate0.23/ovp46.642.1%
Boundary %26%p71.621.1%
96.6
Quality 96.6 = false-shots induced
False-shot %33%
64.8
Impact 64.8 = WPA percentile in phase
WPA (this phase)-6.8
62.7
Versatility 62.7 = Σ(pct × share)
Econ vs RHBp85.230%
Econ vs LHBp78.430%
Wkt vs RHBp6720%
Wkt vs LHBp1.120%
15 · 14.2% of his oversRA pace275.025110.263.6
Phase Production 63.6 vs all bowlers · n=44
KPIvaluepctshare
True economy1.002× parp55.736.8%
Wicket rate0.40/ovp78.442.1%
Boundary %30%p47.721.1%
77.3
Quality 77.3 = false-shots induced
False-shot %30%
80.7
Impact 80.7 = WPA percentile in phase
WPA (this phase)+2.8
58
Versatility 58 = Σ(pct × share)
Econ vs RHBp78.430%
Econ vs LHBp23.930%
Wkt vs RHBp78.420%
Wkt vs LHBp5820%
16 · 41.5% of his oversSLA orthodox3317.031528.9459.9
Phase Production 59.9 vs all bowlers · n=44
KPIvaluepctshare
True economy0.878× parp85.236.8%
Wicket rate0.17/ovp26.142.1%
Boundary %24%p8321.1%
5.7
Quality 5.7 = false-shots induced
False-shot %15%
33
Impact 33 = WPA percentile in phase
WPA (this phase)-19.7
45
Versatility 45 = Σ(pct × share)
Econ vs RHBp9230%
Econ vs LHBp21.630%
Wkt vs RHBp4220%
Wkt vs LHBp12.520%
17 · 71.4% of his oversRA pace1922.01125311.555.9
Phase Production 55.9 vs all bowlers · n=44
KPIvaluepctshare
True economy1.13× parp23.936.8%
Wicket rate0.50/ovp96.642.1%
Boundary %31%p30.721.1%
94.3
Quality 94.3 = false-shots induced
False-shot %30%
23.9
Impact 23.9 = WPA percentile in phase
WPA (this phase)-28
54.1
Versatility 54.1 = Σ(pct × share)
Econ vs RHBp5830%
Econ vs LHBp1.130%
Wkt vs RHBp96.620%
Wkt vs LHBp85.220%
18 · 33.5% of his oversSLA orthodox2213.0313210.1555
Phase Production 55 vs all bowlers · n=44
KPIvaluepctshare
True economy0.997× parp60.236.8%
Wicket rate0.23/ovp44.342.1%
Boundary %26%p6721.1%
1.1
Quality 1.1 = false-shots induced
False-shot %12%
30.7
Impact 30.7 = WPA percentile in phase
WPA (this phase)-20.6
49.8
Versatility 49.8 = Σ(pct × share)
Econ vs RHBp8330%
Econ vs LHBp19.330%
Wkt vs RHBp47.720%
Wkt vs LHBp47.720%
19 · 28.1% of his oversOff-spin363.013210.6754.8
Phase Production 54.8 vs all bowlers · n=44
KPIvaluepctshare
True economy1.048× parp53.436.8%
Wicket rate0.34/ovp64.842.1%
Boundary %33%p37.521.1%
73.9
Quality 73.9 = false-shots induced
False-shot %33%
71.6
Impact 71.6 = WPA percentile in phase
WPA (this phase)-3.1
51.6
Versatility 51.6 = Σ(pct × share)
Econ vs RHBp30.730%
Econ vs LHBp62.530%
Wkt vs RHBp70.520%
Wkt vs LHBp47.720%
20 · 44.4% of his oversSLA orthodox258.01698.6252.2
Phase Production 52.2 vs all bowlers · n=44
KPIvaluepctshare
True economy0.847× parp76.136.8%
Wicket rate0.13/ovp1742.1%
Boundary %21%p80.721.1%
58
Quality 58 = false-shots induced
False-shot %23%
62.5
Impact 62.5 = WPA percentile in phase
WPA (this phase)-7.4
60.2
Versatility 60.2 = Σ(pct × share)
Econ vs RHBp71.630%
Econ vs LHBp85.230%
Wkt vs RHBp30.720%
Wkt vs LHBp35.220%
21 · 32.4% of his oversSLA orthodox2511.0311910.8249.6
Phase Production 49.6 vs all bowlers · n=44
KPIvaluepctshare
True economy1.063× parp44.336.8%
Wicket rate0.27/ovp56.842.1%
Boundary %30%p44.321.1%
62.5
Quality 62.5 = false-shots induced
False-shot %24%
58
Impact 58 = WPA percentile in phase
WPA (this phase)-9.6
42
Versatility 42 = Σ(pct × share)
Econ vs RHBp51.130%
Econ vs LHBp28.430%
Wkt vs RHBp73.920%
Wkt vs LHBp1720%
22 · 42.9% of his oversLA pace233.01331149.2
Phase Production 49.2 vs all bowlers · n=44
KPIvaluepctshare
True economy1.081× parp46.636.8%
Wicket rate0.34/ovp64.842.1%
Boundary %39%p22.721.1%
30.7
Quality 30.7 = false-shots induced
False-shot %17%
69.3
Impact 69.3 = WPA percentile in phase
WPA (this phase)-4.3
49.5
Versatility 49.5 = Σ(pct × share)
Econ vs RHBp35.230%
Econ vs LHBp55.730%
Wkt vs RHBp1720%
Wkt vs LHBp94.320%
23 · 64.5% of his oversRA pace3020.0420610.347.4
Phase Production 47.4 vs all bowlers · n=44
KPIvaluepctshare
True economy1.012× parp5836.8%
Wicket rate0.20/ovp3342.1%
Boundary %28%p5821.1%
33
Quality 33 = false-shots induced
False-shot %21%
21.6
Impact 21.6 = WPA percentile in phase
WPA (this phase)-29.7
43.6
Versatility 43.6 = Σ(pct × share)
Econ vs RHBp62.530%
Econ vs LHBp46.630%
Wkt vs RHBp51.120%
Wkt vs LHBp3.420%
24 · 59.5% of his oversRA pace2822.0925911.7744.1
Phase Production 44.1 vs all bowlers · n=44
KPIvaluepctshare
True economy1.157× parp12.536.8%
Wicket rate0.41/ovp9242.1%
Boundary %36%p3.421.1%
83
Quality 83 = false-shots induced
False-shot %27%
1.1
Impact 1.1 = WPA percentile in phase
WPA (this phase)-88.8
32
Versatility 32 = Σ(pct × share)
Econ vs RHBp23.930%
Econ vs LHBp5.730%
Wkt vs RHBp94.320%
Wkt vs LHBp21.620%
25 · 48.8% of his oversRA pace2710.011001039.1
Phase Production 39.1 vs all bowlers · n=44
KPIvaluepctshare
True economy0.982× parp62.536.8%
Wicket rate0.10/ovp842.1%
Boundary %27%p60.221.1%
46.6
Quality 46.6 = false-shots induced
False-shot %22%
60.2
Impact 60.2 = WPA percentile in phase
WPA (this phase)-9.2
47.5
Versatility 47.5 = Σ(pct × share)
Econ vs RHBp44.330%
Econ vs LHBp80.730%
Wkt vs RHBp820%
Wkt vs LHBp4220%
26 · 10.6% of his oversSLA orthodox215.016112.238.2
Phase Production 38.2 vs all bowlers · n=44
KPIvaluepctshare
True economy1.198× parp28.436.8%
Wicket rate0.20/ovp4242.1%
Boundary %30%p47.721.1%
25
Quality 25 = false-shots induced
False-shot %17%
46.6
Impact 46.6 = WPA percentile in phase
WPA (this phase)-14.9
39.1
Versatility 39.1 = Σ(pct × share)
Econ vs RHBp69.330%
Econ vs LHBp3.430%
Wkt vs RHBp62.520%
Wkt vs LHBp23.920%
27 · 75% of his oversRA pace253.01421437.5
Phase Production 37.5 vs all bowlers · n=44
KPIvaluepctshare
True economy1.375× parp19.336.8%
Wicket rate0.34/ovp64.842.1%
Boundary %44%p14.821.1%
65.9
Quality 65.9 = false-shots induced
False-shot %28%
42
Impact 42 = WPA percentile in phase
WPA (this phase)-17.8
39.3
Versatility 39.3 = Σ(pct × share)
Econ vs RHBp26.130%
Econ vs LHBp26.130%
Wkt vs RHBp70.520%
Wkt vs LHBp47.720%
28 · 20.7% of his oversOff-spin296.016811.3336.5
Phase Production 36.5 vs all bowlers · n=44
KPIvaluepctshare
True economy1.113× parp37.536.8%
Wicket rate0.17/ovp39.842.1%
Boundary %33%p28.421.1%
8
Quality 8 = false-shots induced
False-shot %11%
76.1
Impact 76.1 = WPA percentile in phase
WPA (this phase)+0.7
41.8
Versatility 41.8 = Σ(pct × share)
Econ vs RHBp19.330%
Econ vs LHBp5830%
Wkt vs RHBp14.820%
Wkt vs LHBp78.420%
29 · 75% of his oversRA pace2112.0415212.6736.2
Phase Production 36.2 vs all bowlers · n=44
KPIvaluepctshare
True economy1.244× parp836.8%
Wicket rate0.34/ovp73.942.1%
Boundary %36%p10.221.1%
80.7
Quality 80.7 = false-shots induced
False-shot %28%
8
Impact 8 = WPA percentile in phase
WPA (this phase)-53.8
35
Versatility 35 = Σ(pct × share)
Econ vs RHBp5.730%
Econ vs LHBp37.530%
Wkt vs RHBp8320%
Wkt vs LHBp27.320%
30 · 39.1% of his oversLA pace269.0311512.7836.1
Phase Production 36.1 vs all bowlers · n=44
KPIvaluepctshare
True economy1.255× parp10.236.8%
Wicket rate0.34/ovp70.542.1%
Boundary %37%p12.521.1%
37.5
Quality 37.5 = false-shots induced
False-shot %20%
14.8
Impact 14.8 = WPA percentile in phase
WPA (this phase)-38.4
42.3
Versatility 42.3 = Σ(pct × share)
Econ vs RHBp3.430%
Econ vs LHBp64.830%
Wkt vs RHBp89.820%
Wkt vs LHBp19.320%
31 · 24.1% of his oversSLA orthodox7.017811.1435.9
Phase Production 35.9 vs all bowlers · n=44
KPIvaluepctshare
True economy1.095× parp39.836.8%
Wicket rate0.14/ovp29.542.1%
Boundary %31%p4221.1%
28.4
Quality 28.4 = false-shots induced
False-shot %19%
26.1
Impact 26.1 = WPA percentile in phase
WPA (this phase)-21.5
43.4
Versatility 43.4 = Σ(pct × share)
Econ vs RHBp37.530%
Econ vs LHBp4230%
Wkt vs RHBp23.920%
Wkt vs LHBp73.920%
32 · 25% of his oversRA pace326.006410.6733
Phase Production 33 vs all bowlers · n=44
KPIvaluepctshare
True economy1.048× parp51.136.8%
Wicket rate0.00/ovp5.742.1%
Boundary %28%p55.721.1%
71.6
Quality 71.6 = false-shots induced
False-shot %28%
12.5
Impact 12.5 = WPA percentile in phase
WPA (this phase)-38.7
32.5
Versatility 32.5 = Σ(pct × share)
Econ vs RHBp3330%
Econ vs LHBp53.430%
Wkt vs RHBp5.720%
Wkt vs LHBp27.320%
33 · 43.9% of his oversRA pace263.003411.3332.5
Phase Production 32.5 vs all bowlers · n=44
KPIvaluepctshare
True economy1.113× parp4236.8%
Wicket rate0.00/ovp21.642.1%
Boundary %33%p37.521.1%
50
Quality 50 = false-shots induced
False-shot %22%
51.1
Impact 51.1 = WPA percentile in phase
WPA (this phase)-13.7
40
Versatility 40 = Σ(pct × share)
Econ vs RHBp48.930%
Econ vs LHBp30.730%
Wkt vs RHBp3320%
Wkt vs LHBp47.720%
34 · 45.5% of his oversRA pace2610.0010810.829.7
Phase Production 29.7 vs all bowlers · n=44
KPIvaluepctshare
True economy1.061× parp48.936.8%
Wicket rate0.00/ovp1.142.1%
Boundary %28%p53.421.1%
69.3
Quality 69.3 = false-shots induced
False-shot %25%
17
Impact 17 = WPA percentile in phase
WPA (this phase)-36.4
27.5
Versatility 27.5 = Σ(pct × share)
Econ vs RHBp73.930%
Econ vs LHBp10.230%
Wkt vs RHBp3.420%
Wkt vs LHBp820%
35 · 15.4% of his oversOff-spin282.00301528.8
Phase Production 28.8 vs all bowlers · n=44
KPIvaluepctshare
True economy1.474× parp21.636.8%
Wicket rate0.00/ovp36.442.1%
Boundary %42%p26.121.1%
17
Quality 17 = false-shots induced
False-shot %0%
55.7
Impact 55.7 = WPA percentile in phase
WPA (this phase)-9.7
39.1
Versatility 39.1 = Σ(pct × share)
Econ vs RHBp12.530%
Econ vs LHBp48.930%
Wkt vs RHBp39.820%
Wkt vs LHBp63.620%
36 · 19.4% of his oversSLA orthodox237.018812.5728.6
Phase Production 28.6 vs all bowlers · n=44
KPIvaluepctshare
True economy1.235× parp14.836.8%
Wicket rate0.14/ovp29.542.1%
Boundary %29%p51.121.1%
21.6
Quality 21.6 = false-shots induced
False-shot %17%
3.4
Impact 3.4 = WPA percentile in phase
WPA (this phase)-58.8
37.3
Versatility 37.3 = Σ(pct × share)
Econ vs RHBp1730%
Econ vs LHBp4230%
Wkt vs RHBp23.920%
Wkt vs LHBp73.920%
37 · 16.7% of his oversRA pace303.003712.3326.9
Phase Production 26.9 vs all bowlers · n=44
KPIvaluepctshare
True economy1.212× parp35.236.8%
Wicket rate0.00/ovp21.642.1%
Boundary %39%p22.721.1%
50
Quality 50 = false-shots induced
False-shot %22%
48.9
Impact 48.9 = WPA percentile in phase
WPA (this phase)-14.1
42
Versatility 42 = Σ(pct × share)
Econ vs RHBp21.630%
Econ vs LHBp60.230%
Wkt vs RHBp19.320%
Wkt vs LHBp68.220%
38 · 15.8% of his oversOff-spin243.00391326.6
Phase Production 26.6 vs all bowlers · n=44
KPIvaluepctshare
True economy1.277× parp26.136.8%
Wicket rate0.00/ovp21.642.1%
Boundary %33%p37.521.1%
12.5
Quality 12.5 = false-shots induced
False-shot %6%
37.5
Impact 37.5 = WPA percentile in phase
WPA (this phase)-18.3
33.4
Versatility 33.4 = Σ(pct × share)
Econ vs RHBp46.630%
Econ vs LHBp14.830%
Wkt vs RHBp35.220%
Wkt vs LHBp39.820%
39 · 9.2% of his oversSLA orthodox282.003115.525.2
Phase Production 25.2 vs all bowlers · n=44
KPIvaluepctshare
True economy1.523× parp1736.8%
Wicket rate0.00/ovp36.442.1%
Boundary %50%p1721.1%
35.2
Quality 35.2 = false-shots induced
False-shot %17%
28.4
Impact 28.4 = WPA percentile in phase
WPA (this phase)-21
34.8
Versatility 34.8 = Σ(pct × share)
Econ vs RHBp4230%
Econ vs LHBp830%
Wkt vs RHBp44.320%
Wkt vs LHBp54.520%
40 · 11.1% of his oversOff-spin234.00481223.9
Phase Production 23.9 vs all bowlers · n=44
KPIvaluepctshare
True economy1.179× parp3336.8%
Wicket rate0.00/ovp11.442.1%
Boundary %33%p3321.1%
10.2
Quality 10.2 = false-shots induced
False-shot %8%
39.8
Impact 39.8 = WPA percentile in phase
WPA (this phase)-18
37.3
Versatility 37.3 = Σ(pct × share)
Econ vs RHBp14.830%
Econ vs LHBp6730%
Wkt vs RHBp28.420%
Wkt vs LHBp35.220%
41 · 66.7% of his oversRA pace354.01641623
Phase Production 23 vs all bowlers · n=44
KPIvaluepctshare
True economy1.572× parp3.436.8%
Wicket rate0.25/ovp51.142.1%
Boundary %54%p1.121.1%
89.8
Quality 89.8 = false-shots induced
False-shot %42%
19.3
Impact 19.3 = WPA percentile in phase
WPA (this phase)-36.4
28.6
Versatility 28.6 = Σ(pct × share)
Econ vs RHBp10.230%
Econ vs LHBp12.530%
Wkt vs RHBp54.520%
Wkt vs LHBp54.520%
42 · 48% of his oversRA pace324.004912.2520.2
Phase Production 20.2 vs all bowlers · n=44
KPIvaluepctshare
True economy1.203× parp30.736.8%
Wicket rate0.00/ovp11.442.1%
Boundary %38%p19.321.1%
42
Quality 42 = false-shots induced
False-shot %21%
44.3
Impact 44.3 = WPA percentile in phase
WPA (this phase)-16
34.8
Versatility 34.8 = Σ(pct × share)
Econ vs RHBp28.430%
Econ vs LHBp35.230%
Wkt vs RHBp10.220%
Wkt vs LHBp68.220%
43 · 54.5% of his oversRA pace279.0111813.119.5
Phase Production 9.5 vs all bowlers · n=44
KPIvaluepctshare
True economy1.288× parp5.736.8%
Wicket rate0.11/ovp14.842.1%
Boundary %39%p5.721.1%
60.2
Quality 60.2 = false-shots induced
False-shot %24%
10.2
Impact 10.2 = WPA percentile in phase
WPA (this phase)-53.5
23.2
Versatility 23.2 = Σ(pct × share)
Econ vs RHBp830%
Econ vs LHBp3330%
Wkt vs RHBp23.920%
Wkt vs LHBp30.720%
44 · 21.1% of his oversSLA orthodox288.0011914.883.5
Phase Production 3.5 vs all bowlers · n=44
KPIvaluepctshare
True economy1.461× parp1.136.8%
Wicket rate0.00/ovp3.442.1%
Boundary %40%p821.1%
3.4
Quality 3.4 = false-shots induced
False-shot %8%
5.7
Impact 5.7 = WPA percentile in phase
WPA (this phase)-57.7
12.7
Versatility 12.7 = Σ(pct × share)
Econ vs RHBp1.130%
Econ vs LHBp1730%
Wkt vs RHBp1.120%
Wkt vs LHBp35.220%
#BowlerTypeAgeOversWktsRunsEconProdQualImpactVers
1 · 36.1% of his oversSLA orthodox2214.0870598.9
Phase Production 98.9 vs all bowlers · n=47
KPIvaluepctshare
True economy0.621× parp98.944.1%
Wicket rate0.57/ovp98.944.1%
Boundary %4%p98.911.8%
73.4
Quality 73.4 = false-shots induced
False-shot %24%
96.8
Impact 96.8 = WPA percentile in phase
WPA (this phase)+87.5
94.7
Versatility 94.7 = Σ(pct × share)
Econ vs RHBp98.950%
Econ vs LHBp90.450%
2 · 77.3% of his oversOff-spin3017.06955.5994
Phase Production 94 vs all bowlers · n=47
KPIvaluepctshare
True economy0.694× parp96.844.1%
Wicket rate0.35/ovp90.444.1%
Boundary %5%p96.811.8%
22.3
Quality 22.3 = false-shots induced
False-shot %16%
92.6
Impact 92.6 = WPA percentile in phase
WPA (this phase)+55.7
93.6
Versatility 93.6 = Σ(pct × share)
Econ vs RHBp88.350%
Econ vs LHBp98.950%
3 · 61.3% of his oversSLA orthodox2322.181546.9590.4
Phase Production 90.4 vs all bowlers · n=47
KPIvaluepctshare
True economy0.863× parp90.444.1%
Wicket rate0.36/ovp92.644.1%
Boundary %12%p81.911.8%
81.9
Quality 81.9 = false-shots induced
False-shot %25%
98.9
Impact 98.9 = WPA percentile in phase
WPA (this phase)+106.8
63.8
Versatility 63.8 = Σ(pct × share)
Econ vs RHBp94.750%
Econ vs LHBp3350%
4 · 50% of his oversSLA orthodox2618.061236.8387.4
Phase Production 87.4 vs all bowlers · n=47
KPIvaluepctshare
True economy0.849× parp88.344.1%
Wicket rate0.34/ovp86.244.1%
Boundary %11%p88.311.8%
52.1
Quality 52.1 = false-shots induced
False-shot %20%
77.7
Impact 77.7 = WPA percentile in phase
WPA (this phase)+9.8
74.5
Versatility 74.5 = Σ(pct × share)
Econ vs RHBp96.850%
Econ vs LHBp52.150%
5 · 37.5% of his oversOff-spin364.03235.7584.4
Phase Production 84.4 vs all bowlers · n=47
KPIvaluepctshare
True economy0.715× parp77.744.1%
Wicket rate0.75/ovp96.844.1%
Boundary %12%p62.811.8%
77.7
Quality 77.7 = false-shots induced
False-shot %29%
81.9
Impact 81.9 = WPA percentile in phase
WPA (this phase)+30.9
60.1
Versatility 60.1 = Σ(pct × share)
Econ vs RHBp75.550%
Econ vs LHBp44.750%
6 · 58.8% of his oversOff-spin10.03676.778.5
Phase Production 78.5 vs all bowlers · n=47
KPIvaluepctshare
True economy0.833× parp81.944.1%
Wicket rate0.30/ovp71.344.1%
Boundary %8%p92.611.8%
94.7
Quality 94.7 = false-shots induced
False-shot %30%
1.1
Impact 1.1 = WPA percentile in phase
WPA (this phase)-66.5
78.7
Versatility 78.7 = Σ(pct × share)
Econ vs RHBp71.350%
Econ vs LHBp86.250%
7 · 81.5% of his oversSLA orthodox2817.461367.775.7
Phase Production 75.7 vs all bowlers · n=47
KPIvaluepctshare
True economy0.957× parp6744.1%
Wicket rate0.34/ovp88.344.1%
Boundary %15%p60.611.8%
47.9
Quality 47.9 = false-shots induced
False-shot %20%
88.3
Impact 88.3 = WPA percentile in phase
WPA (this phase)+39.8
44.7
Versatility 44.7 = Σ(pct × share)
Econ vs RHBp77.750%
Econ vs LHBp11.750%
8 · 70.2% of his oversSLA orthodox2133.082357.1274.8
Phase Production 74.8 vs all bowlers · n=47
KPIvaluepctshare
True economy0.885× parp92.644.1%
Wicket rate0.24/ovp56.444.1%
Boundary %14%p77.711.8%
86.2
Quality 86.2 = false-shots induced
False-shot %25%
79.8
Impact 79.8 = WPA percentile in phase
WPA (this phase)+29.2
87.2
Versatility 87.2 = Σ(pct × share)
Econ vs RHBp90.450%
Econ vs LHBp8450%
9 · 76.7% of his oversOff-spin23.071757.6174.2
Phase Production 74.2 vs all bowlers · n=47
KPIvaluepctshare
True economy0.946× parp69.144.1%
Wicket rate0.31/ovp77.744.1%
Boundary %13%p79.811.8%
88.3
Quality 88.3 = false-shots induced
False-shot %25%
90.4
Impact 90.4 = WPA percentile in phase
WPA (this phase)+48.7
69.1
Versatility 69.1 = Σ(pct × share)
Econ vs RHBp43.650%
Econ vs LHBp94.750%
10 · 69% of his oversSLA orthodox20.041356.7569.8
Phase Production 69.8 vs all bowlers · n=47
KPIvaluepctshare
True economy0.839× parp94.744.1%
Wicket rate0.20/ovp39.444.1%
Boundary %11%p90.411.8%
50
Quality 50 = false-shots induced
False-shot %20%
94.7
Impact 94.7 = WPA percentile in phase
WPA (this phase)+63.3
83
Versatility 83 = Σ(pct × share)
Econ vs RHBp86.250%
Econ vs LHBp79.850%
11 · 25% of his oversRA pace212.01136.568
Phase Production 68 vs all bowlers · n=47
KPIvaluepctshare
True economy0.808× parp62.844.1%
Wicket rate0.50/ovp73.444.1%
Boundary %8%p6711.8%
36.2
Quality 36.2 = false-shots induced
False-shot %8%
71.3
Impact 71.3 = WPA percentile in phase
WPA (this phase)+7.9
53.7
Versatility 53.7 = Σ(pct × share)
Econ vs RHBp62.850%
Econ vs LHBp44.750%
12 · 57.9% of his oversOff-spin2411.03797.1867
Phase Production 67 vs all bowlers · n=47
KPIvaluepctshare
True economy0.893× parp71.344.1%
Wicket rate0.27/ovp60.644.1%
Boundary %12%p74.511.8%
45.7
Quality 45.7 = false-shots induced
False-shot %20%
50
Impact 50 = WPA percentile in phase
WPA (this phase)-3.8
57.4
Versatility 57.4 = Σ(pct × share)
Econ vs RHBp18.150%
Econ vs LHBp96.850%
13 · 41.5% of his oversSLA orthodox3317.041257.3566.3
Phase Production 66.3 vs all bowlers · n=47
KPIvaluepctshare
True economy0.914× parp79.844.1%
Wicket rate0.23/ovp52.144.1%
Boundary %14%p69.111.8%
26.6
Quality 26.6 = false-shots induced
False-shot %17%
60.6
Impact 60.6 = WPA percentile in phase
WPA (this phase)+0.5
74.5
Versatility 74.5 = Σ(pct × share)
Econ vs RHBp81.950%
Econ vs LHBp6750%
14 · 50% of his oversRA pace309.0372865.8
Phase Production 65.8 vs all bowlers · n=47
KPIvaluepctshare
True economy0.994× parp58.544.1%
Wicket rate0.34/ovp75.544.1%
Boundary %15%p56.411.8%
84
Quality 84 = false-shots induced
False-shot %28%
75.5
Impact 75.5 = WPA percentile in phase
WPA (this phase)+9.6
43.6
Versatility 43.6 = Σ(pct × share)
Econ vs RHBp69.150%
Econ vs LHBp18.150%
15 · 36% of his oversRA pace323.01196.3365.6
Phase Production 65.6 vs all bowlers · n=47
KPIvaluepctshare
True economy0.787× parp64.944.1%
Wicket rate0.34/ovp64.944.1%
Boundary %6%p71.311.8%
98.9
Quality 98.9 = false-shots induced
False-shot %44%
69.1
Impact 69.1 = WPA percentile in phase
WPA (this phase)+5.2
61.7
Versatility 61.7 = Σ(pct × share)
Econ vs RHBp47.950%
Econ vs LHBp75.550%
16 · 50% of his oversSLA orthodox2819.061588.3263.8
Phase Production 63.8 vs all bowlers · n=47
KPIvaluepctshare
True economy1.033× parp52.144.1%
Wicket rate0.32/ovp81.944.1%
Boundary %18%p39.411.8%
71.3
Quality 71.3 = false-shots induced
False-shot %23%
30.9
Impact 30.9 = WPA percentile in phase
WPA (this phase)-9.7
38.3
Versatility 38.3 = Σ(pct × share)
Econ vs RHBp73.450%
Econ vs LHBp3.250%
17 · 36.4% of his oversRA pace268.03658.1261.6
Phase Production 61.6 vs all bowlers · n=47
KPIvaluepctshare
True economy1.01× parp54.344.1%
Wicket rate0.37/ovp8444.1%
Boundary %25%p5.311.8%
92.6
Quality 92.6 = false-shots induced
False-shot %31%
62.8
Impact 62.8 = WPA percentile in phase
WPA (this phase)+2.5
46.8
Versatility 46.8 = Σ(pct × share)
Econ vs RHBp6750%
Econ vs LHBp26.650%
18 · 8.1% of his oversRA pace283.01237.6761.1
Phase Production 61.1 vs all bowlers · n=47
KPIvaluepctshare
True economy0.953× parp56.444.1%
Wicket rate0.34/ovp64.944.1%
Boundary %11%p64.911.8%
41.5
Quality 41.5 = false-shots induced
False-shot %17%
67
Impact 67 = WPA percentile in phase
WPA (this phase)+4.8
61.7
Versatility 61.7 = Σ(pct × share)
Econ vs RHBp58.550%
Econ vs LHBp64.950%
19 · 65.5% of his oversOff-spin2919.041427.4760.8
Phase Production 60.8 vs all bowlers · n=47
KPIvaluepctshare
True economy0.929× parp73.444.1%
Wicket rate0.21/ovp41.544.1%
Boundary %11%p86.211.8%
3.2
Quality 3.2 = false-shots induced
False-shot %13%
73.4
Impact 73.4 = WPA percentile in phase
WPA (this phase)+8.2
78.7
Versatility 78.7 = Σ(pct × share)
Econ vs RHBp64.950%
Econ vs LHBp92.650%
20 · 56.9% of his oversRA pace2720.031417.0557.8
Phase Production 57.8 vs all bowlers · n=47
KPIvaluepctshare
True economy0.876× parp8444.1%
Wicket rate0.15/ovp24.544.1%
Boundary %12%p8411.8%
67
Quality 67 = false-shots induced
False-shot %22%
86.2
Impact 86.2 = WPA percentile in phase
WPA (this phase)+36.5
77.7
Versatility 77.7 = Σ(pct × share)
Econ vs RHBp92.650%
Econ vs LHBp62.850%
21 · 19.4% of his oversRA pace357.01476.7154.8
Phase Production 54.8 vs all bowlers · n=47
KPIvaluepctshare
True economy0.834× parp75.544.1%
Wicket rate0.14/ovp3344.1%
Boundary %14%p58.511.8%
75.5
Quality 75.5 = false-shots induced
False-shot %26%
58.5
Impact 58.5 = WPA percentile in phase
WPA (this phase)+0.5
67
Versatility 67 = Σ(pct × share)
Econ vs RHBp79.850%
Econ vs LHBp54.350%
22 · 17.1% of his oversRA pace273.3128853.8
Phase Production 53.8 vs all bowlers · n=47
KPIvaluepctshare
True economy0.994× parp5044.1%
Wicket rate0.29/ovp58.544.1%
Boundary %14%p5011.8%
79.8
Quality 79.8 = false-shots induced
False-shot %33%
64.9
Impact 64.9 = WPA percentile in phase
WPA (this phase)+4.2
56.4
Versatility 56.4 = Σ(pct × share)
Econ vs RHBp54.350%
Econ vs LHBp58.550%
23 · 8% of his oversRA pace233.0127952.1
Phase Production 52.1 vs all bowlers · n=47
KPIvaluepctshare
True economy1.118× parp41.544.1%
Wicket rate0.34/ovp64.944.1%
Boundary %17%p43.611.8%
69.1
Quality 69.1 = false-shots induced
False-shot %28%
47.9
Impact 47.9 = WPA percentile in phase
WPA (this phase)-4.1
40.4
Versatility 40.4 = Σ(pct × share)
Econ vs RHBp52.150%
Econ vs LHBp28.750%
24 · 75% of his oversSLA orthodox21.011487.0549.6
Phase Production 49.6 vs all bowlers · n=47
KPIvaluepctshare
True economy0.876× parp86.244.1%
Wicket rate0.05/ovp1.144.1%
Boundary %10%p94.711.8%
20.2
Quality 20.2 = false-shots induced
False-shot %16%
52.1
Impact 52.1 = WPA percentile in phase
WPA (this phase)-2.9
78.7
Versatility 78.7 = Σ(pct × share)
Econ vs RHBp8450%
Econ vs LHBp73.450%
25 · 40.4% of his oversOff-spin2514.041289.1448.8
Phase Production 48.8 vs all bowlers · n=47
KPIvaluepctshare
True economy1.136× parp28.744.1%
Wicket rate0.29/ovp69.144.1%
Boundary %17%p47.911.8%
96.8
Quality 96.8 = false-shots induced
False-shot %29%
84
Impact 84 = WPA percentile in phase
WPA (this phase)+33.3
44.7
Versatility 44.7 = Σ(pct × share)
Econ vs RHBp20.250%
Econ vs LHBp69.150%
26 · 12% of his oversRA pace323.02391346.4
Phase Production 46.4 vs all bowlers · n=47
KPIvaluepctshare
True economy1.616× parp9.644.1%
Wicket rate0.67/ovp94.744.1%
Boundary %33%p3.211.8%
61.7
Quality 61.7 = false-shots induced
False-shot %22%
22.3
Impact 22.3 = WPA percentile in phase
WPA (this phase)-15
19.1
Versatility 19.1 = Σ(pct × share)
Econ vs RHBp3.250%
Econ vs LHBp35.150%
27 · 33.3% of his oversOff-spin3813.031148.7742.1
Phase Production 42.1 vs all bowlers · n=47
KPIvaluepctshare
True economy1.09× parp39.444.1%
Wicket rate0.23/ovp5044.1%
Boundary %20%p22.311.8%
54.3
Quality 54.3 = false-shots induced
False-shot %20%
13.8
Impact 13.8 = WPA percentile in phase
WPA (this phase)-24.9
41.5
Versatility 41.5 = Σ(pct × share)
Econ vs RHBp45.750%
Econ vs LHBp37.250%
28 · 77.5% of his oversSLA orthodox2920.45186940.7
Phase Production 40.7 vs all bowlers · n=47
KPIvaluepctshare
True economy1.118× parp30.944.1%
Wicket rate0.24/ovp54.344.1%
Boundary %19%p26.611.8%
28.7
Quality 28.7 = false-shots induced
False-shot %17%
33
Impact 33 = WPA percentile in phase
WPA (this phase)-9.5
28.7
Versatility 28.7 = Σ(pct × share)
Econ vs RHBp37.250%
Econ vs LHBp20.250%
29 · 84.6% of his oversOff-spin2811.0188840.7
Phase Production 40.7 vs all bowlers · n=47
KPIvaluepctshare
True economy0.994× parp60.644.1%
Wicket rate0.09/ovp11.744.1%
Boundary %12%p74.511.8%
7.4
Quality 7.4 = false-shots induced
False-shot %12%
28.7
Impact 28.7 = WPA percentile in phase
WPA (this phase)-12.1
63.8
Versatility 63.8 = Σ(pct × share)
Econ vs RHBp56.450%
Econ vs LHBp71.350%
30 · 52.2% of his oversLA pace2612.0412410.3339.7
Phase Production 39.7 vs all bowlers · n=47
KPIvaluepctshare
True economy1.284× parp7.444.1%
Wicket rate0.34/ovp79.844.1%
Boundary %22%p10.611.8%
31.9
Quality 31.9 = false-shots induced
False-shot %17%
38.3
Impact 38.3 = WPA percentile in phase
WPA (this phase)-9.1
11.7
Versatility 11.7 = Σ(pct × share)
Econ vs RHBp7.450%
Econ vs LHBp1650%
31 · 50% of his oversOff-spin2314.021178.3639.2
Phase Production 39.2 vs all bowlers · n=47
KPIvaluepctshare
True economy1.039× parp47.944.1%
Wicket rate0.14/ovp26.644.1%
Boundary %16%p54.311.8%
9.6
Quality 9.6 = false-shots induced
False-shot %13%
3.2
Impact 3.2 = WPA percentile in phase
WPA (this phase)-39.3
56.4
Versatility 56.4 = Σ(pct × share)
Econ vs RHBp35.150%
Econ vs LHBp77.750%
32 · 88.9% of his oversLeg-spin248.01688.538.2
Phase Production 38.2 vs all bowlers · n=47
KPIvaluepctshare
True economy1.056× parp43.644.1%
Wicket rate0.13/ovp30.944.1%
Boundary %17%p45.711.8%
58.5
Quality 58.5 = false-shots induced
False-shot %21%
7.4
Impact 7.4 = WPA percentile in phase
WPA (this phase)-29.2
47.3
Versatility 47.3 = Σ(pct × share)
Econ vs RHBp5050%
Econ vs LHBp44.750%
33 · 83.3% of his oversRA pace225.01501033.9
Phase Production 33.9 vs all bowlers · n=47
KPIvaluepctshare
True economy1.243× parp24.544.1%
Wicket rate0.20/ovp45.744.1%
Boundary %23%p24.511.8%
90.4
Quality 90.4 = false-shots induced
False-shot %33%
41.5
Impact 41.5 = WPA percentile in phase
WPA (this phase)-8.5
37.2
Versatility 37.2 = Σ(pct × share)
Econ vs RHBp24.550%
Econ vs LHBp5050%
34 · 52.9% of his oversSLA orthodox2518.021528.4429.6
Phase Production 29.6 vs all bowlers · n=47
KPIvaluepctshare
True economy1.049× parp45.744.1%
Wicket rate0.11/ovp7.444.1%
Boundary %16%p52.111.8%
1.1
Quality 1.1 = false-shots induced
False-shot %12%
26.6
Impact 26.6 = WPA percentile in phase
WPA (this phase)-12.2
42.6
Versatility 42.6 = Σ(pct × share)
Econ vs RHBp60.650%
Econ vs LHBp24.550%
35 · 71.4% of his oversSLA orthodox215.015410.827.2
Phase Production 27.2 vs all bowlers · n=47
KPIvaluepctshare
True economy1.342× parp13.844.1%
Wicket rate0.20/ovp45.744.1%
Boundary %27%p7.411.8%
14.9
Quality 14.9 = false-shots induced
False-shot %10%
24.5
Impact 24.5 = WPA percentile in phase
WPA (this phase)-13.8
18.1
Versatility 18.1 = Σ(pct × share)
Econ vs RHBp26.650%
Econ vs LHBp9.650%
36 · 43.9% of his oversRA pace263.003210.6726.5
Phase Production 26.5 vs all bowlers · n=47
KPIvaluepctshare
True economy1.326× parp26.644.1%
Wicket rate0.00/ovp28.744.1%
Boundary %28%p18.111.8%
61.7
Quality 61.7 = false-shots induced
False-shot %22%
43.6
Impact 43.6 = WPA percentile in phase
WPA (this phase)-7.4
41.5
Versatility 41.5 = Σ(pct × share)
Econ vs RHBp1.150%
Econ vs LHBp81.950%
37 · 86.2% of his oversOff-spin3025.052439.7226.5
Phase Production 26.5 vs all bowlers · n=47
KPIvaluepctshare
True economy1.208× parp11.744.1%
Wicket rate0.20/ovp37.244.1%
Boundary %17%p41.511.8%
18.1
Quality 18.1 = false-shots induced
False-shot %16%
5.3
Impact 5.3 = WPA percentile in phase
WPA (this phase)-29.2
13.8
Versatility 13.8 = Σ(pct × share)
Econ vs RHBp5.350%
Econ vs LHBp22.350%
38 · 47.2% of his oversOff-spin2317.021528.9425
Phase Production 25 vs all bowlers · n=47
KPIvaluepctshare
True economy1.111× parp35.144.1%
Wicket rate0.12/ovp13.844.1%
Boundary %19%p28.711.8%
43.6
Quality 43.6 = false-shots induced
False-shot %20%
56.4
Impact 56.4 = WPA percentile in phase
WPA (this phase)-0.6
51.1
Versatility 51.1 = Σ(pct × share)
Econ vs RHBp13.850%
Econ vs LHBp88.350%
39 · 50% of his oversRA pace225.0045924.8
Phase Production 24.8 vs all bowlers · n=47
KPIvaluepctshare
True economy1.118× parp37.244.1%
Wicket rate0.00/ovp9.644.1%
Boundary %20%p35.111.8%
14.9
Quality 14.9 = false-shots induced
False-shot %10%
54.3
Impact 54.3 = WPA percentile in phase
WPA (this phase)-0.7
39.4
Versatility 39.4 = Σ(pct × share)
Econ vs RHBp39.450%
Econ vs LHBp39.450%
40 · 6.5% of his oversRA pace302.00261324.2
Phase Production 24.2 vs all bowlers · n=47
KPIvaluepctshare
True economy1.616× parp1644.1%
Wicket rate0.00/ovp35.144.1%
Boundary %33%p13.811.8%
36.2
Quality 36.2 = false-shots induced
False-shot %8%
35.1
Impact 35.1 = WPA percentile in phase
WPA (this phase)-9.4
35.1
Versatility 35.1 = Σ(pct × share)
Econ vs RHBp11.750%
Econ vs LHBp58.550%
41 · 57.1% of his oversSLA orthodox184.004210.522.1
Phase Production 22.1 vs all bowlers · n=47
KPIvaluepctshare
True economy1.305× parp21.344.1%
Wicket rate0.00/ovp20.244.1%
Boundary %21%p31.911.8%
39.4
Quality 39.4 = false-shots induced
False-shot %17%
38.3
Impact 38.3 = WPA percentile in phase
WPA (this phase)-9.1
33.5
Versatility 33.5 = Σ(pct × share)
Econ vs RHBp22.350%
Econ vs LHBp44.750%
42 · 80% of his oversSLA orthodox274.004210.522.1
Phase Production 22.1 vs all bowlers · n=47
KPIvaluepctshare
True economy1.305× parp21.344.1%
Wicket rate0.00/ovp20.244.1%
Boundary %21%p31.911.8%
5.3
Quality 5.3 = false-shots induced
False-shot %4%
45.7
Impact 45.7 = WPA percentile in phase
WPA (this phase)-5.5
29.8
Versatility 29.8 = Σ(pct × share)
Econ vs RHBp28.750%
Econ vs LHBp30.950%
43 · 28.8% of his oversRA pace275.01601220.8
Phase Production 20.8 vs all bowlers · n=47
KPIvaluepctshare
True economy1.491× parp1.144.1%
Wicket rate0.20/ovp45.744.1%
Boundary %33%p1.111.8%
64.9
Quality 64.9 = false-shots induced
False-shot %23%
16
Impact 16 = WPA percentile in phase
WPA (this phase)-20
8.5
Versatility 8.5 = Σ(pct × share)
Econ vs RHBp9.650%
Econ vs LHBp7.450%
44 · 38.9% of his oversSLA orthodox257.00659.2920.3
Phase Production 20.3 vs all bowlers · n=47
KPIvaluepctshare
True economy1.154× parp3344.1%
Wicket rate0.00/ovp3.244.1%
Boundary %19%p37.211.8%
11.7
Quality 11.7 = false-shots induced
False-shot %12%
18.1
Impact 18.1 = WPA percentile in phase
WPA (this phase)-18.3
45.7
Versatility 45.7 = Σ(pct × share)
Econ vs RHBp3350%
Econ vs LHBp58.550%
45 · 57.1% of his oversLA pace234.005012.512.7
Phase Production 12.7 vs all bowlers · n=47
KPIvaluepctshare
True economy1.553× parp3.244.1%
Wicket rate0.00/ovp20.244.1%
Boundary %25%p20.211.8%
56.4
Quality 56.4 = false-shots induced
False-shot %21%
9.6
Impact 9.6 = WPA percentile in phase
WPA (this phase)-27.9
21.3
Versatility 21.3 = Σ(pct × share)
Econ vs RHBp41.550%
Econ vs LHBp1.150%
46 · 92.3% of his oversLeg-spin12.011169.6711.6
Phase Production 11.6 vs all bowlers · n=47
KPIvaluepctshare
True economy1.201× parp18.144.1%
Wicket rate0.08/ovp5.344.1%
Boundary %22%p10.611.8%
31.9
Quality 31.9 = false-shots induced
False-shot %17%
11.7
Impact 11.7 = WPA percentile in phase
WPA (this phase)-25.7
22.3
Versatility 22.3 = Σ(pct × share)
Econ vs RHBp30.950%
Econ vs LHBp13.850%
47 · 41.7% of his oversRA pace3210.0110610.611.3
Phase Production 11.3 vs all bowlers · n=47
KPIvaluepctshare
True economy1.317× parp5.344.1%
Wicket rate0.10/ovp1644.1%
Boundary %22%p1611.8%
24.5
Quality 24.5 = false-shots induced
False-shot %15%
20.2
Impact 20.2 = WPA percentile in phase
WPA (this phase)-16.6
10.6
Versatility 10.6 = Σ(pct × share)
Econ vs RHBp1650%
Econ vs LHBp5.350%
#BowlerTypeAgeOversWktsRunsEconProdQualImpactVers
1 · 19.2% of his oversOff-spin256.44517.6594
Phase Production 94 vs all bowlers · n=42
KPIvaluepctshare
True economy0.704× parp96.443.6%
Boundary %12%p96.441.8%
Wicket rate0.60/ovp79.814.5%
96.4
Impact 96.4 = WPA percentile in phase
WPA (this phase)+9.6
92.5
Versatility 92.5 = Σ(pct × share)
Matchup advantagep92.5100%
2 · 7.7% of his oversOff-spin383.02175.6789
Phase Production 89 vs all bowlers · n=42
KPIvaluepctshare
True economy0.522× parp91.743.6%
Boundary %6%p92.941.8%
Wicket rate0.67/ovp70.214.5%
66.7
Impact 66.7 = WPA percentile in phase
WPA (this phase)+0
50
Versatility 50 = Σ(pct × share)
Matchup advantage *p50100%
3 · 6.9% of his oversSLA orthodox2.0273.587.7
Phase Production 87.7 vs all bowlers · n=42
KPIvaluepctshare
True economy0.322× parp9443.6%
Boundary %8%p8141.8%
Wicket rate1.00/ovp88.114.5%
86.9
Impact 86.9 = WPA percentile in phase
WPA (this phase)+6.4
93.8
Versatility 93.8 = Σ(pct × share)
Matchup advantagep93.8100%
4 · 34.4% of his oversOff-spin363.43256.8287.6
Phase Production 87.6 vs all bowlers · n=42
KPIvaluepctshare
True economy0.628× parp86.943.6%
Boundary %14%p86.941.8%
Wicket rate0.82/ovp91.714.5%
98.8
Impact 98.8 = WPA percentile in phase
WPA (this phase)+27.7
50
Versatility 50 = Σ(pct × share)
Matchup advantage *p50100%
5 · 19.1% of his oversSLA orthodox219.02667.3385.3
Phase Production 85.3 vs all bowlers · n=42
KPIvaluepctshare
True economy0.675× parp98.843.6%
Boundary %11%p98.841.8%
Wicket rate0.22/ovp614.5%
44
Impact 44 = WPA percentile in phase
WPA (this phase)-8
52.5
Versatility 52.5 = Σ(pct × share)
Matchup advantagep52.5100%
6 · 42.9% of his oversSLA orthodox183.0118684.4
Phase Production 84.4 vs all bowlers · n=42
KPIvaluepctshare
True economy0.552× parp89.343.6%
Boundary %6%p92.941.8%
Wicket rate0.34/ovp45.214.5%
84.5
Impact 84.5 = WPA percentile in phase
WPA (this phase)+3.5
65
Versatility 65 = Σ(pct × share)
Matchup advantagep65100%
7 · 34.1% of his oversRA pace277.05608.5783.7
Phase Production 83.7 vs all bowlers · n=42
KPIvaluepctshare
True economy0.789× parp84.550%
Wicket rate0.71/ovp9416.7%
Boundary %19%p77.433.3%
89.3
Impact 89.3 = WPA percentile in phase
WPA (this phase)+6.6
34.6
Versatility 34.6 = Σ(pct × share)
Yorker ratep13.940%
Slower ballp47.233.3%
Slow bouncerp5026.7%
8 · 33.3% of his oversRA pace3512.071129.3383.3
Phase Production 83.3 vs all bowlers · n=42
KPIvaluepctshare
True economy0.859× parp79.850%
Wicket rate0.58/ovp82.116.7%
Boundary %19%p89.333.3%
10.7
Impact 10.7 = WPA percentile in phase
WPA (this phase)-39.6
52.4
Versatility 52.4 = Σ(pct × share)
Yorker ratep58.340%
Slower ballp47.233.3%
Slow bouncerp5026.7%
9 · 6.7% of his oversOff-spin2.0112674.5
Phase Production 74.5 vs all bowlers · n=42
KPIvaluepctshare
True economy0.552× parp7543.6%
Boundary %8%p8141.8%
Wicket rate0.50/ovp54.814.5%
82.1
Impact 82.1 = WPA percentile in phase
WPA (this phase)+3.1
50
Versatility 50 = Σ(pct × share)
Matchup advantage *p50100%
10 · 30.5% of his oversSLA orthodox2211.551099.2173.3
Phase Production 73.3 vs all bowlers · n=42
KPIvaluepctshare
True economy0.848× parp82.143.6%
Boundary %21%p72.641.8%
Wicket rate0.42/ovp48.814.5%
22.6
Impact 22.6 = WPA percentile in phase
WPA (this phase)-13.8
55
Versatility 55 = Σ(pct × share)
Matchup advantagep55100%
11 · 41.7% of his oversOff-spin2315.051439.5373.1
Phase Production 73.1 vs all bowlers · n=42
KPIvaluepctshare
True economy0.878× parp77.443.6%
Boundary %20%p84.541.8%
Wicket rate0.34/ovp27.414.5%
53.6
Impact 53.6 = WPA percentile in phase
WPA (this phase)-4.3
80
Versatility 80 = Σ(pct × share)
Matchup advantagep80100%
12 · 33.3% of his oversRA pace306.04601070.2
Phase Production 70.2 vs all bowlers · n=42
KPIvaluepctshare
True economy0.921× parp65.550%
Wicket rate0.67/ovp84.516.7%
Boundary %19%p70.233.3%
29.8
Impact 29.8 = WPA percentile in phase
WPA (this phase)-12.7
41.3
Versatility 41.3 = Σ(pct × share)
Yorker ratep30.640%
Slower ballp47.233.3%
Slow bouncerp5026.7%
13 · 28.6% of his oversSLA orthodox212.0214769.4
Phase Production 69.4 vs all bowlers · n=42
KPIvaluepctshare
True economy0.644× parp70.243.6%
Boundary %17%p61.941.8%
Wicket rate1.00/ovp88.114.5%
70.2
Impact 70.2 = WPA percentile in phase
WPA (this phase)+0.5
83.8
Versatility 83.8 = Σ(pct × share)
Matchup advantagep83.8100%
14 · 17.1% of his oversSLA orthodox337.02649.1463.6
Phase Production 63.6 vs all bowlers · n=42
KPIvaluepctshare
True economy0.842× parp72.643.6%
Boundary %21%p65.541.8%
Wicket rate0.29/ovp3114.5%
51.2
Impact 51.2 = WPA percentile in phase
WPA (this phase)-4.6
37.5
Versatility 37.5 = Σ(pct × share)
Matchup advantagep37.5100%
15 · 32.4% of his oversRA pace2812.0412310.2562.3
Phase Production 62.3 vs all bowlers · n=42
KPIvaluepctshare
True economy0.944× parp63.150%
Wicket rate0.34/ovp34.516.7%
Boundary %21%p7533.3%
60.7
Impact 60.7 = WPA percentile in phase
WPA (this phase)-3.4
48
Versatility 48 = Σ(pct × share)
Yorker ratep47.240%
Slower ballp47.233.3%
Slow bouncerp5026.7%
16 · 16.7% of his oversSLA orthodox253.01258.3360.6
Phase Production 60.6 vs all bowlers · n=42
KPIvaluepctshare
True economy0.767× parp67.943.6%
Boundary %22%p58.341.8%
Wicket rate0.34/ovp45.214.5%
75
Impact 75 = WPA percentile in phase
WPA (this phase)+1.8
50
Versatility 50 = Σ(pct × share)
Matchup advantagep50100%
17 · 17.9% of his oversOff-spin235.035110.259.6
Phase Production 59.6 vs all bowlers · n=42
KPIvaluepctshare
True economy0.939× parp58.343.6%
Boundary %23%p5641.8%
Wicket rate0.60/ovp73.814.5%
36.9
Impact 36.9 = WPA percentile in phase
WPA (this phase)-9.1
7.5
Versatility 7.5 = Σ(pct × share)
Matchup advantagep7.5100%
18 · 24% of his oversRA pace326.036110.1757.5
Phase Production 57.5 vs all bowlers · n=42
KPIvaluepctshare
True economy0.936× parp60.750%
Wicket rate0.50/ovp65.516.7%
Boundary %25%p48.833.3%
91.7
Impact 91.7 = WPA percentile in phase
WPA (this phase)+7.1
60.2
Versatility 60.2 = Σ(pct × share)
Yorker ratep77.840%
Slower ballp47.233.3%
Slow bouncerp5026.7%
19 · 9.2% of his oversSLA orthodox282.01221155.7
Phase Production 55.7 vs all bowlers · n=42
KPIvaluepctshare
True economy1.013× parp5043.6%
Boundary %17%p61.941.8%
Wicket rate0.50/ovp54.814.5%
27.4
Impact 27.4 = WPA percentile in phase
WPA (this phase)-13
46.2
Versatility 46.2 = Σ(pct × share)
Matchup advantagep46.2100%
20 · 22.7% of his oversOff-spin305.015210.453.3
Phase Production 53.3 vs all bowlers · n=42
KPIvaluepctshare
True economy0.958× parp53.643.6%
Boundary %20%p67.941.8%
Wicket rate0.20/ovp10.714.5%
58.3
Impact 58.3 = WPA percentile in phase
WPA (this phase)-3.6
40
Versatility 40 = Σ(pct × share)
Matchup advantagep40100%
21 · 7.1% of his oversSLA orthodox2.00201049.9
Phase Production 49.9 vs all bowlers · n=42
KPIvaluepctshare
True economy0.921× parp5643.6%
Boundary %25%p53.641.8%
Wicket rate0.00/ovp21.414.5%
77.4
Impact 77.4 = WPA percentile in phase
WPA (this phase)+1.9
32.5
Versatility 32.5 = Σ(pct × share)
Matchup advantagep32.5100%
22 · 25% of his oversRA pace212.01221146
Phase Production 46 vs all bowlers · n=42
KPIvaluepctshare
True economy1.013× parp5050%
Wicket rate0.50/ovp54.816.7%
Boundary %33%p35.733.3%
63.1
Impact 63.1 = WPA percentile in phase
WPA (this phase)-3.2
60.2
Versatility 60.2 = Σ(pct × share)
Yorker ratep77.840%
Slower ballp47.233.3%
Slow bouncerp5026.7%
23 · 13.8% of his oversOff-spin294.01481245.1
Phase Production 45.1 vs all bowlers · n=42
KPIvaluepctshare
True economy1.105× parp41.743.6%
Boundary %25%p51.241.8%
Wicket rate0.25/ovp38.114.5%
32.1
Impact 32.1 = WPA percentile in phase
WPA (this phase)-9.8
50
Versatility 50 = Σ(pct × share)
Matchup advantage *p50100%
24 · 19.4% of his oversSLA orthodox237.027811.1444.2
Phase Production 44.2 vs all bowlers · n=42
KPIvaluepctshare
True economy1.026× parp46.443.6%
Boundary %26%p46.441.8%
Wicket rate0.29/ovp3114.5%
72.6
Impact 72.6 = WPA percentile in phase
WPA (this phase)+1.2
40
Versatility 40 = Σ(pct × share)
Matchup advantagep40100%
25 · 39.4% of his oversRA pace276.367611.6940.9
Phase Production 40.9 vs all bowlers · n=42
KPIvaluepctshare
True economy1.077× parp36.950%
Wicket rate0.92/ovp98.816.7%
Boundary %31%p17.933.3%
8.3
Impact 8.3 = WPA percentile in phase
WPA (this phase)-43.3
50.2
Versatility 50.2 = Σ(pct × share)
Yorker ratep52.840%
Slower ballp47.233.3%
Slow bouncerp5026.7%
26 · 11.8% of his oversOff-spin2.012713.536.9
Phase Production 36.9 vs all bowlers · n=42
KPIvaluepctshare
True economy1.243× parp32.143.6%
Boundary %33%p35.741.8%
Wicket rate0.50/ovp54.814.5%
34.5
Impact 34.5 = WPA percentile in phase
WPA (this phase)-9.2
47.5
Versatility 47.5 = Σ(pct × share)
Matchup advantagep47.5100%
27 · 28.9% of his oversSLA orthodox2811.0512611.4536.3
Phase Production 36.3 vs all bowlers · n=42
KPIvaluepctshare
True economy1.055× parp34.543.6%
Boundary %27%p29.841.8%
Wicket rate0.46/ovp60.714.5%
3.6
Impact 3.6 = WPA percentile in phase
WPA (this phase)-58.2
37.5
Versatility 37.5 = Σ(pct × share)
Matchup advantagep37.5100%
28 · 25% of his oversRA pace214.025413.536.1
Phase Production 36.1 vs all bowlers · n=42
KPIvaluepctshare
True economy1.243× parp22.650%
Wicket rate0.50/ovp63.116.7%
Boundary %29%p42.933.3%
20.2
Impact 20.2 = WPA percentile in phase
WPA (this phase)-14.1
68
Versatility 68 = Σ(pct × share)
Yorker ratep97.240%
Slower ballp47.233.3%
Slow bouncerp5026.7%
29 · 7.5% of his oversSLA orthodox292.00261335.2
Phase Production 35.2 vs all bowlers · n=42
KPIvaluepctshare
True economy1.197× parp39.343.6%
Boundary %33%p35.741.8%
Wicket rate0.00/ovp21.414.5%
46.4
Impact 46.4 = WPA percentile in phase
WPA (this phase)-7.2
10
Versatility 10 = Σ(pct × share)
Matchup advantagep10100%
30 · 19.4% of his oversSLA orthodox267.048311.8634.7
Phase Production 34.7 vs all bowlers · n=42
KPIvaluepctshare
True economy1.092× parp29.843.6%
Boundary %29%p2541.8%
Wicket rate0.57/ovp77.414.5%
6
Impact 6 = WPA percentile in phase
WPA (this phase)-53.6
57.5
Versatility 57.5 = Σ(pct × share)
Matchup advantagep57.5100%
31 · 18.2% of his oversRA pace264.015012.534.3
Phase Production 34.3 vs all bowlers · n=42
KPIvaluepctshare
True economy1.151× parp27.450%
Wicket rate0.25/ovp38.116.7%
Boundary %29%p42.933.3%
94
Impact 94 = WPA percentile in phase
WPA (this phase)+7.6
34.6
Versatility 34.6 = Σ(pct × share)
Yorker ratep13.940%
Slower ballp47.233.3%
Slow bouncerp5026.7%
32 · 14.7% of his oversSLA orthodox255.015911.829.7
Phase Production 29.7 vs all bowlers · n=42
KPIvaluepctshare
True economy1.086× parp4443.6%
Boundary %30%p21.441.8%
Wicket rate0.20/ovp10.714.5%
39.3
Impact 39.3 = WPA percentile in phase
WPA (this phase)-8.4
33.8
Versatility 33.8 = Σ(pct × share)
Matchup advantagep33.8100%
33 · 33.3% of his oversRA pace352.00301528
Phase Production 28 vs all bowlers · n=42
KPIvaluepctshare
True economy1.381× parp2550%
Wicket rate0.00/ovp21.416.7%
Boundary %33%p35.733.3%
56
Impact 56 = WPA percentile in phase
WPA (this phase)-3.9
60.2
Versatility 60.2 = Σ(pct × share)
Yorker ratep77.840%
Slower ballp47.233.3%
Slow bouncerp5026.7%
34 · 50% of his oversRA pace225.036813.625
Phase Production 25 vs all bowlers · n=42
KPIvaluepctshare
True economy1.252× parp16.750%
Wicket rate0.60/ovp73.816.7%
Boundary %33%p13.133.3%
15.5
Impact 15.5 = WPA percentile in phase
WPA (this phase)-19.3
43.5
Versatility 43.5 = Σ(pct × share)
Yorker ratep36.140%
Slower ballp47.233.3%
Slow bouncerp5026.7%
35 · 30.7% of his oversRA pace2311.3214012.1719.4
Phase Production 19.4 vs all bowlers · n=42
KPIvaluepctshare
True economy1.121× parp20.250%
Wicket rate0.17/ovp1.216.7%
Boundary %28%p27.433.3%
13.1
Impact 13.1 = WPA percentile in phase
WPA (this phase)-36
82.4
Versatility 82.4 = Σ(pct × share)
Yorker ratep91.740%
Slower ballp97.233.3%
Slow bouncerp5026.7%
36 · 26.3% of his oversOff-spin245.016813.617.8
Phase Production 17.8 vs all bowlers · n=42
KPIvaluepctshare
True economy1.252× parp16.743.6%
Boundary %30%p21.441.8%
Wicket rate0.20/ovp10.714.5%
79.8
Impact 79.8 = WPA percentile in phase
WPA (this phase)+2.2
37.5
Versatility 37.5 = Σ(pct × share)
Matchup advantagep37.5100%
37 · 28.6% of his oversRA pace198.5712814.4917.1
Phase Production 17.1 vs all bowlers · n=42
KPIvaluepctshare
True economy1.334× parp1.250%
Wicket rate0.79/ovp96.416.7%
Boundary %38%p1.233.3%
48.8
Impact 48.8 = WPA percentile in phase
WPA (this phase)-6
34.6
Versatility 34.6 = Σ(pct × share)
Yorker ratep13.940%
Slower ballp47.233.3%
Slow bouncerp5026.7%
38 · 29% of his oversRA pace309.0311512.7817.1
Phase Production 17.1 vs all bowlers · n=42
KPIvaluepctshare
True economy1.176× parp13.150%
Wicket rate0.34/ovp41.716.7%
Boundary %32%p10.733.3%
25
Impact 25 = WPA percentile in phase
WPA (this phase)-13.6
45.7
Versatility 45.7 = Σ(pct × share)
Yorker ratep41.740%
Slower ballp47.233.3%
Slow bouncerp5026.7%
39 · 33.3% of his oversRA pace328.0410513.1216.3
Phase Production 16.3 vs all bowlers · n=42
KPIvaluepctshare
True economy1.208× parp650%
Wicket rate0.50/ovp67.916.7%
Boundary %35%p633.3%
17.9
Impact 17.9 = WPA percentile in phase
WPA (this phase)-15.2
60.2
Versatility 60.2 = Σ(pct × share)
Yorker ratep77.840%
Slower ballp47.233.3%
Slow bouncerp5026.7%
40 · 8.7% of his oversLA pace262.00341714.1
Phase Production 14.1 vs all bowlers · n=42
KPIvaluepctshare
True economy1.565× parp10.750%
Wicket rate0.00/ovp21.416.7%
Boundary %42%p15.533.3%
66.7
Impact 66.7 = WPA percentile in phase
WPA (this phase)+0
34.6
Versatility 34.6 = Σ(pct × share)
Yorker ratep13.940%
Slower ballp47.233.3%
Slow bouncerp5026.7%
41 · 28.9% of his oversRA pace2710.1313012.799.5
Phase Production 9.5 vs all bowlers · n=42
KPIvaluepctshare
True economy1.177× parp8.350%
Wicket rate0.29/ovp15.516.7%
Boundary %33%p8.333.3%
1.2
Impact 1.2 = WPA percentile in phase
WPA (this phase)-69.8
54.6
Versatility 54.6 = Σ(pct × share)
Yorker ratep63.940%
Slower ballp47.233.3%
Slow bouncerp5026.7%
42 · 19.2% of his oversRA pace273.205616.83.6
Phase Production 3.6 vs all bowlers · n=42
KPIvaluepctshare
True economy1.547× parp3.650%
Wicket rate0.00/ovp3.616.7%
Boundary %45%p3.633.3%
41.7
Impact 41.7 = WPA percentile in phase
WPA (this phase)-8.3
34.6
Versatility 34.6 = Σ(pct × share)
Yorker ratep13.940%
Slower ballp47.233.3%
Slow bouncerp5026.7%