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ODI verdict list

Greatest ODI All-rounders of All Time

Andrew Flintoff rises above Shakib Al Hasan, and the edge holds. Shakib Al Hasan keeps the better average in ODI batting, 37.29 to 31.97. Andrew Flintoff's bowling average vs strong opposition in ODI bowling settles it, 26.30 to 38.92.

Combined79.7
ODI Batting
75.8
ODI Bowling
83.7
#2

Bangladesh

Combined75.2
ODI Batting
85.5
ODI Bowling
66.1
#3

Pakistan

Combined75.1
ODI Batting
72.5
ODI Bowling
77.7
#4

South Africa

Combined74.6
ODI Batting
63.6
ODI Bowling
87.4
#5

South Africa

Combined73.2
ODI Batting
87.5
ODI Bowling
61.2
#6

South Africa

Combined73.2
ODI Batting
81.9
ODI Bowling
65.5
#7
Combined70.8
ODI Batting
87.0
ODI Bowling
57.6
#8

Pakistan

Combined70.2
ODI Batting
53.4
ODI Bowling
92.4
#9
Combined69.9
ODI Batting
63.6
ODI Bowling
76.8
#10

Australia

Combined69.7
ODI Batting
86.7
ODI Bowling
56.0
Where the verdict was won: ODI Batting
Andrew Flintoff
75.8 — led by Strike rate (14.9 of it), then Average (14.2)
Shakib Al Hasan
85.5 — led by Average (17.0 of it), then Volume (14.4)
Imran Khan
72.5 — led by Average (15.2 of it), then Volume (12.7)
Shaun Pollock
63.6 — led by Strike rate (13.6 of it), then Volume (12.2)
Jacques Kallis
87.5 — led by Average (19.3 of it), then Volume (14.9)
Lance Klusener
81.9 — led by Average (18.3 of it), then Strike rate (15.1)
Angelo Mathews
87.0 — led by Average (18.1 of it), then Volume (13.8)
Wasim Akram
53.4 — led by Strike rate (14.8 of it), then Volume (12.7)
Kapil Dev
63.6 — led by Strike rate (16.2 of it), then Volume (12.7)
Shane Watson
86.7 — led by Average (18.2 of it), then Strike rate (15.3)
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.
Where the verdict was won: ODI Bowling
Andrew Flintoff
83.7 — led by Bowling average (17.9 of it), then Economy (12.6)
Shakib Al Hasan
66.1 — led by Volume (13.8 of it), then Bowling average (12.7)
Imran Khan
77.7 — led by Economy (15.9 of it), then Bowling average (15.7)
Shaun Pollock
87.4 — led by Bowling average (17.5 of it), then Economy (16.4)
Jacques Kallis
61.2 — led by Volume (13.3 of it), then Bowling average (10.0)
Lance Klusener
65.5 — led by Volume (12.1 of it), then Bowling average (12.1)
Angelo Mathews
57.6 — led by Volume (10.0 of it), then Economy (9.8)
Wasim Akram
92.4 — led by Bowling average (18.1 of it), then Economy (15.8)
Kapil Dev
76.8 — led by Economy (16.2 of it), then Bowling average (15.2)
Shane Watson
56.0 — led by Volume (11.5 of it), then Bowling average (10.1)
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.
ODI Batting factors and weights

Compared with 867 batters who played at least 20 innings.

ODI Bowling factors and weights

Compared with 441 bowlers who played at least 20 innings and bowled at least 1,500 balls.

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.

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.

All-rounders: a player must clear both qualification bars. The batting and bowling verdicts are combined with a geometric mean, preventing one outstanding discipline from completely carrying a weak one.

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
ODIGreatest ODI All-rounders of All TimeTop 10