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ODI verdict list

Best ODI Bowlers of the 1990s

Allan Donald rises above Wasim Akram by a breath. Wasim Akram keeps the better volume in ODI bowling, 279 wickets to 206 wickets. Allan Donald's bowling strike rate in ODI bowling settles it, 31.25 to 36.65.

#1

South Africa

Verdict93.1
Bowling average
21.05
Economy
4.04
Bowling strike rate
31.25
Away bowling average
19.51
Bowling average vs strong opposition
24.54
Wicket-taking consistency
30.00
Bowling average in wins
18.24
Volume
206 wickets
#2

Pakistan

Verdict92.9
Bowling average
23.41
Economy
3.83
Bowling strike rate
36.65
Away bowling average
22.42
Bowling average vs strong opposition
25.23
Wicket-taking consistency
22.16
Bowling average in wins
19.31
Volume
279 wickets
#3
Verdict92.1
Bowling average
19.41
Economy
4.22
Bowling strike rate
27.60
Away bowling average
18.50
Bowling average vs strong opposition
21.23
Wicket-taking consistency
37.04
Bowling average in wins
14.53
Volume
210 wickets
#4
Verdict91.2
Bowling average
21.53
Economy
3.69
Bowling strike rate
35.04
Away bowling average
23.11
Bowling average vs strong opposition
20.78
Wicket-taking consistency
21.62
Bowling average in wins
16.82
Volume
113 wickets
#5

South Africa

Verdict87.4
Bowling average
23.38
Economy
3.81
Bowling strike rate
36.84
Away bowling average
24.50
Bowling average vs strong opposition
24.75
Wicket-taking consistency
20.73
Bowling average in wins
22.92
Volume
118 wickets
#6

Australia

Verdict86.5
Bowling average
24.28
Economy
4.19
Bowling strike rate
34.77
Away bowling average
30.12
Bowling average vs strong opposition
25.99
Wicket-taking consistency
23.66
Bowling average in wins
19.47
Volume
212 wickets
#7

West Indies

Verdict83.4
Bowling average
25.86
Economy
3.48
Bowling strike rate
44.55
Away bowling average
28.22
Bowling average vs strong opposition
26.27
Wicket-taking consistency
12.69
Bowling average in wins
22.70
Volume
160 wickets
#8

Pakistan

Verdict83.2
Bowling average
23.08
Economy
4.62
Bowling strike rate
30.00
Away bowling average
25.39
Bowling average vs strong opposition
27.46
Wicket-taking consistency
22.22
Bowling average in wins
18.34
Volume
275 wickets
#9

Australia

Verdict83.1
Bowling average
24.80
Economy
4.01
Bowling strike rate
37.07
Away bowling average
35.94
Bowling average vs strong opposition
26.87
Wicket-taking consistency
15.84
Bowling average in wins
18.37
Volume
147 wickets
#10
Verdict81.2
Bowling average
23.66
Economy
4.31
Bowling strike rate
32.96
Away bowling average
21.57
Bowling average vs strong opposition
27.58
Wicket-taking consistency
21.21
Bowling average in wins
18.64
Volume
105 wickets
Where the verdict was won
Allan Donald
93.1 — led by Volume (23.2 of it), then Bowling average (18.8)
Wasim Akram
92.9 — led by Volume (25.0 of it), then Bowling average (17.8)
Saqlain Mushtaq
92.1 — led by Volume (23.4 of it), then Bowling average (18.9)
Craig McDermott
91.2 — led by Volume (20.0 of it), then Bowling average (18.5)
Shaun Pollock
87.4 — led by Volume (20.3 of it), then Bowling average (17.9)
Shane Warne
86.5 — led by Volume (23.6 of it), then Bowling average (17.3)
Curtly Ambrose
83.4 — led by Volume (22.1 of it), then Economy (16.8)
Waqar Younis
83.2 — led by Volume (24.8 of it), then Bowling average (18.2)
Glenn McGrath
83.1 — led by Volume (21.5 of it), then Bowling average (17.0)
Damien Fleming
81.2 — led by Volume (19.1 of it), then Bowling average (17.7)
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 161 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 1990sTop 10