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ODI verdict list

Best ODI Bowlers of the 1980s

Richard Hadlee rises above Joel Garner by a breath. Joel Garner keeps the better bowling average in ODI bowling, 18.68 to 19.79. Richard Hadlee's volume in ODI bowling settles it, 133 wickets to 126 wickets.

#1

New Zealand

Verdict94.3
Bowling average
19.79
Economy
3.27
Bowling strike rate
36.33
Away bowling average
22.00
Bowling average vs strong opposition
21.74
Wicket-taking consistency
20.22
Bowling average in wins
14.75
Volume
133 wickets
#2

West Indies

Verdict94.1
Bowling average
18.68
Economy
3.04
Bowling strike rate
36.87
Away bowling average
20.59
Bowling average vs strong opposition
20.90
Wicket-taking consistency
20.69
Bowling average in wins
16.43
Volume
126 wickets
#3

West Indies

Verdict90.8
Bowling average
21.02
Economy
3.32
Bowling strike rate
38.00
Away bowling average
18.84
Bowling average vs strong opposition
21.48
Wicket-taking consistency
14.44
Bowling average in wins
20.68
Volume
126 wickets
#4

Australia

Verdict89.4
Bowling average
20.04
Economy
3.40
Bowling strike rate
35.32
Away bowling average
19.00
Bowling average vs strong opposition
22.09
Wicket-taking consistency
22.92
Bowling average in wins
14.18
Volume
76 wickets
#5

West Indies

Verdict87.4
Bowling average
19.18
Economy
3.67
Bowling strike rate
31.36
Away bowling average
15.85
Bowling average vs strong opposition
19.05
Wicket-taking consistency
20.00
Bowling average in wins
18.08
Volume
61 wickets
#6

Pakistan

Verdict85.7
Bowling average
23.09
Economy
3.84
Bowling strike rate
36.06
Away bowling average
27.03
Bowling average vs strong opposition
24.32
Wicket-taking consistency
19.28
Bowling average in wins
17.27
Volume
117 wickets
#7

Pakistan

Verdict84.8
Bowling average
22.95
Economy
3.89
Bowling strike rate
35.44
Away bowling average
32.44
Bowling average vs strong opposition
22.89
Wicket-taking consistency
15.38
Bowling average in wins
21.40
Volume
144 wickets
#8

West Indies

Verdict84.8
Bowling average
20.41
Economy
3.43
Bowling strike rate
35.68
Away bowling average
24.00
Bowling average vs strong opposition
20.11
Wicket-taking consistency
22.22
Bowling average in wins
18.79
Volume
56 wickets
#9

West Indies

Verdict84.0
Bowling average
24.53
Economy
3.40
Bowling strike rate
43.33
Away bowling average
28.10
Bowling average vs strong opposition
23.57
Wicket-taking consistency
12.84
Bowling average in wins
21.65
Volume
135 wickets
#10

New Zealand

Verdict83.1
Bowling average
25.71
Economy
3.57
Bowling strike rate
43.16
Away bowling average
25.59
Bowling average vs strong opposition
26.15
Wicket-taking consistency
10.81
Bowling average in wins
19.87
Volume
139 wickets
Where the verdict was won
Richard Hadlee
94.3 — led by Volume (23.4 of it), then Bowling average (18.4)
Joel Garner
94.1 — led by Volume (22.7 of it), then Bowling average (18.8)
Michael Holding
90.8 — led by Volume (22.7 of it), then Bowling average (17.6)
Dennis Lillee
89.4 — led by Volume (18.7 of it), then Bowling average (18.1)
Curtly Ambrose
87.4 — led by Bowling average (18.6 of it), then Volume (16.8)
Wasim Akram
85.7 — led by Volume (22.2 of it), then Bowling average (16.8)
Imran Khan
84.8 — led by Volume (24.3 of it), then Bowling average (17.0)
Andy Roberts
84.8 — led by Bowling average (17.9 of it), then Economy (15.8)
Malcolm Marshall
84.0 — led by Volume (23.6 of it), then Economy (16.2)
Ewen Chatfield
83.1 — led by Volume (23.9 of it), then Economy (15.5)
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 104 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 1980sTop 10