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T20I verdict list

Greatest T20I Bowlers of All Time

Kuldeep Yadav rises above Wanindu Hasaranga by a breath. Wanindu Hasaranga keeps the better volume in T20I bowling, 157 wickets to 92 wickets. Kuldeep Yadav's economy in T20I bowling settles it, 6.87 to 7.09.

Verdict88.5
Bowling average
13.51
Economy
6.87
Bowling strike rate
11.79
Away bowling average
11.03
Bowling average vs strong opposition
15.39
Wicket-taking consistency
58.00
Bowling average in wins
10.67
Volume
92 wickets
Longevity
8.6 yrs · 52 matches
Verdict87.3
Bowling average
15.72
Economy
7.09
Bowling strike rate
13.30
Away bowling average
19.42
Bowling average vs strong opposition
17.08
Wicket-taking consistency
58.70
Bowling average in wins
11.80
Volume
157 wickets
Longevity
6.8 yrs · 94 matches
#3
Verdict85.6
Bowling average
14.42
Economy
6.45
Bowling strike rate
13.41
Away bowling average
14.20
Bowling average vs strong opposition
18.20
Wicket-taking consistency
43.59
Bowling average in wins
9.94
Volume
66 wickets
Longevity
5.5 yrs · 39 matches
#4

Afghanistan

Verdict85.4
Bowling average
14.66
Economy
6.09
Bowling strike rate
14.45
Away bowling average
17.76
Bowling average vs strong opposition
25.43
Wicket-taking consistency
45.68
Bowling average in wins
11.33
Volume
128 wickets
Longevity
7.7 yrs · 81 matches
#5

South Africa

Verdict82.5
Bowling average
14.08
Economy
6.57
Bowling strike rate
12.87
Away bowling average
22.50
Bowling average vs strong opposition
15.67
Wicket-taking consistency
51.43
Bowling average in wins
10.82
Volume
61 wickets
Longevity
5.6 yrs · 35 matches
Verdict82.1
Bowling average
18.48
Economy
6.58
Bowling strike rate
16.86
Away bowling average
20.14
Bowling average vs strong opposition
19.85
Wicket-taking consistency
41.76
Bowling average in wins
17.02
Volume
118 wickets
Longevity
10.1 yrs · 94 matches
#7

Pakistan

Verdict80.8
Bowling average
16.98
Economy
7.20
Bowling strike rate
14.15
Away bowling average
15.93
Bowling average vs strong opposition
17.33
Wicket-taking consistency
40.00
Bowling average in wins
11.66
Volume
85 wickets
Longevity
8.4 yrs · 60 matches
#8

Pakistan

Verdict78.9
Bowling average
17.84
Economy
6.36
Bowling strike rate
16.82
Away bowling average
22.67
Bowling average vs strong opposition
17.84
Wicket-taking consistency
39.68
Bowling average in wins
16.12
Volume
85 wickets
Longevity
6.0 yrs · 64 matches
#9

South Africa

Verdict77.2
Bowling average
18.36
Economy
6.95
Bowling strike rate
15.86
Away bowling average
15.00
Bowling average vs strong opposition
20.04
Wicket-taking consistency
42.55
Bowling average in wins
14.62
Volume
64 wickets
Longevity
12.2 yrs · 47 matches
#10

Pakistan

Verdict76.4
Bowling average
17.72
Economy
6.75
Bowling strike rate
15.76
Away bowling average
13.58
Bowling average vs strong opposition
18.69
Wicket-taking consistency
41.67
Bowling average in wins
12.72
Volume
50 wickets
Longevity
1.9 yrs · 37 matches
Where the verdict was won
Kuldeep Yadav
88.5 — led by Economy (23.2 of it), then Bowling average (15.0)
Wanindu Hasaranga
87.3 — led by Economy (21.2 of it), then Bowling average (14.4)
Ajantha Mendis
85.6 — led by Economy (26.0 of it), then Bowling average (14.7)
Rashid Khan
85.4 — led by Economy (27.7 of it), then Bowling average (14.5)
Imran Tahir
82.5 — led by Economy (25.7 of it), then Bowling average (14.8)
Jasprit Bumrah
82.1 — led by Economy (25.5 of it), then Bowling average (12.9)
Umar Gul
80.8 — led by Economy (19.8 of it), then Bowling average (14.1)
Saeed Ajmal
78.9 — led by Economy (26.6 of it), then Bowling average (13.5)
Dale Steyn
77.2 — led by Economy (22.6 of it), then Bowling average (13.0)
Abrar Ahmed
76.4 — led by Economy (24.6 of it), then Bowling average (13.6)
Each bar is that player’s score out of 100, split into what produced it: segment length is the facet’s peer score times its weight. Darkest segment first. The segments add up to the score, so the bars are read against each other, not against a grid.

Transparent by design

How this ranking was calculated

The list is computed from scorecards, not selected by an AI model. Every player is measured against the same qualified peer population, and the rules below determine the order.

From scorecards to a verdict score
  1. Build the eligible peer population using the selected format, time window and qualification bars.
  2. Calculate every batting or bowling factor directly from the matching scorecards.
  3. Convert each factor to a score against qualified peers, respecting whether higher or lower is better.
  4. Apply the published weights. If a factor is unavailable, its weight is redistributed across that player's recorded factors.
  5. Add the weighted factors to produce the verdict score out of 100, then rank from highest to lowest.
Bowling factors and weights

Compared with 100 bowlers who took at least 50 wickets.

Important scoring choices

Longevity: uses the square root of career span in years multiplied by matches selected. Match counts and first/last dates come from playing-XI appearances, so a did-not-bat or did-not-bowl match still counts.

Contribution: total runs or wickets measure output within the selected period.

T20I eligibility: this curated list includes players representing current ICC full-member teams. All of their recorded opposition still counts.

Editorial scope: this is a transparent judgement model, not an official record table. It does not insert or promote named players, and it applies no blanket era multiplier.

Data and query audit
T20IGreatest T20I Bowlers of All TimeTop 10