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ODI verdict list

Best ODI Bowlers of the 2010s

Saeed Ajmal rises above Mitchell Starc, and the edge holds. Mitchell Starc keeps the better bowling strike rate in ODI bowling, 24.81 to 30.97. Saeed Ajmal's economy in ODI bowling settles it, 4.24 to 5.01.

#1

Pakistan

Verdict93.8
Bowling average
21.90
Economy
4.24
Bowling strike rate
30.97
Away bowling average
24.62
Bowling average vs strong opposition
21.16
Wicket-taking consistency
25.56
Bowling average in wins
17.78
Volume
157 wickets
#2
Verdict90.1
Bowling average
20.72
Economy
5.01
Bowling strike rate
24.81
Away bowling average
24.20
Bowling average vs strong opposition
24.67
Wicket-taking consistency
29.76
Bowling average in wins
16.28
Volume
172 wickets
Verdict88.3
Bowling average
21.88
Economy
4.49
Bowling strike rate
29.21
Away bowling average
14.20
Bowling average vs strong opposition
29.15
Wicket-taking consistency
20.69
Bowling average in wins
18.95
Volume
103 wickets
#4
Verdict87.7
Bowling average
24.60
Economy
4.74
Bowling strike rate
31.17
Away bowling average
24.85
Bowling average vs strong opposition
25.91
Wicket-taking consistency
25.64
Bowling average in wins
18.00
Volume
126 wickets
#5

Afghanistan

Verdict87.7
Bowling average
18.55
Economy
4.16
Bowling strike rate
26.75
Away bowling average
16.54
Bowling average vs strong opposition
47.75
Wicket-taking consistency
31.34
Bowling average in wins
10.53
Volume
133 wickets
#6

South Africa

Verdict86.9
Bowling average
24.29
Economy
4.95
Bowling strike rate
29.42
Away bowling average
25.34
Bowling average vs strong opposition
24.49
Wicket-taking consistency
23.08
Bowling average in wins
20.19
Volume
153 wickets
#7

South Africa

Verdict86.4
Bowling average
24.53
Economy
4.70
Bowling strike rate
31.31
Away bowling average
26.62
Bowling average vs strong opposition
28.44
Wicket-taking consistency
20.22
Bowling average in wins
22.62
Volume
144 wickets
Verdict83.6
Bowling average
24.80
Economy
4.99
Bowling strike rate
29.82
Away bowling average
19.45
Bowling average vs strong opposition
24.39
Wicket-taking consistency
33.33
Bowling average in wins
22.01
Volume
99 wickets
#9

Australia

Verdict82.8
Bowling average
24.05
Economy
4.77
Bowling strike rate
30.27
Away bowling average
34.90
Bowling average vs strong opposition
25.35
Wicket-taking consistency
28.07
Bowling average in wins
17.78
Volume
94 wickets
#10

South Africa

Verdict82.7
Bowling average
24.74
Economy
4.66
Bowling strike rate
31.87
Away bowling average
31.33
Bowling average vs strong opposition
40.34
Wicket-taking consistency
20.39
Bowling average in wins
18.79
Volume
172 wickets
Where the verdict was won
Saeed Ajmal
93.8 — led by Volume (23.0 of it), then Bowling average (18.5)
Mitchell Starc
90.1 — led by Volume (23.6 of it), then Bowling average (18.7)
Jasprit Bumrah
88.3 — led by Volume (19.7 of it), then Bowling average (18.6)
Mitchell Johnson
87.7 — led by Volume (21.2 of it), then Bowling average (17.6)
Rashid Khan
87.7 — led by Volume (21.8 of it), then Bowling average (18.9)
Morne Morkel
86.9 — led by Volume (22.7 of it), then Bowling average (17.7)
Dale Steyn
86.4 — led by Volume (22.4 of it), then Bowling average (17.7)
Kuldeep Yadav
83.6 — led by Volume (19.4 of it), then Bowling average (17.4)
Clint McKay
82.8 — led by Volume (18.6 of it), then Bowling average (17.8)
Imran Tahir
82.7 — led by Volume (23.6 of it), then Bowling average (17.5)
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 228 bowlers who played at least 10 innings and bowled at least 750 balls.

Important scoring choices

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

Fixed-era weighting: longevity is not scored because a player should not be penalised when only part of their career overlaps the era. Its allocation moves to runs or wickets.

Wicket magnitude: career and long-era wicket volume uses 85% peer position and 15% raw distance from the leading qualified wicket total. This preserves the difference between exceptional totals that sit together at the top of a percentile table. Run volume stays a pure percentile, because career run totals vary far more widely and blending raw magnitude there would penalise a short career of outstanding quality.

ODI 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
ODIBest ODI Bowlers of the 2010sTop 10