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ODI verdict list

Best ODI All-rounders of the 21st Century

Andrew Flintoff rises above Shakib Al Hasan, and the edge holds. Shakib Al Hasan keeps the better volume in ODI bowling, 317 wickets to 161 wickets. Andrew Flintoff's bowling average vs strong opposition in ODI bowling settles it, 25.97 to 38.92.

Combined83.8
ODI Batting
78.9
ODI Bowling
89.0
#2

Bangladesh

Combined77.9
ODI Batting
84.3
ODI Bowling
71.9
#3

South Africa

Combined74.0
ODI Batting
87.0
ODI Bowling
62.9
#4

South Africa

Combined73.8
ODI Batting
63.1
ODI Bowling
86.3
#5
Combined73.3
ODI Batting
83.6
ODI Bowling
64.3
#6

Australia

Combined73.0
ODI Batting
86.4
ODI Bowling
61.6
#7
Combined72.8
ODI Batting
85.6
ODI Bowling
61.9
#8

Zimbabwe

Combined72.2
ODI Batting
71.2
ODI Bowling
73.3
#9

Afghanistan

Combined71.5
ODI Batting
57.2
ODI Bowling
89.5
#10
Combined70.8
ODI Batting
71.6
ODI Bowling
70.1
Where the verdict was won: ODI Batting
Andrew Flintoff
78.9 — led by Volume (21.9 of it), then Average (15.3)
Shakib Al Hasan
84.3 — led by Volume (24.3 of it), then Average (17.0)
Jacques Kallis
87.0 — led by Volume (24.7 of it), then Average (19.3)
Shaun Pollock
63.1 — led by Volume (19.9 of it), then Strike rate (13.8)
Darren Lehmann
83.6 — led by Average (19.6 of it), then Volume (18.5)
Shane Watson
86.4 — led by Volume (23.6 of it), then Average (18.0)
Angelo Mathews
85.6 — led by Volume (23.6 of it), then Average (17.9)
Heath Streak
71.2 — led by Volume (19.8 of it), then Average (15.4)
Rashid Khan
57.2 — led by Volume (17.4 of it), then Strike rate (17.2)
Shahid Afridi
71.6 — led by Volume (23.7 of it), then Strike rate (17.9)
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
89.0 — led by Volume (20.5 of it), then Bowling average (18.4)
Shakib Al Hasan
71.9 — led by Volume (24.2 of it), then Economy (14.8)
Jacques Kallis
62.9 — led by Volume (22.3 of it), then Bowling average (10.8)
Shaun Pollock
86.3 — led by Volume (23.6 of it), then Bowling average (17.5)
Darren Lehmann
64.3 — led by Bowling average (17.2 of it), then Economy (13.3)
Shane Watson
61.6 — led by Volume (20.8 of it), then Bowling average (11.1)
Angelo Mathews
61.9 — led by Volume (18.9 of it), then Economy (13.4)
Heath Streak
73.3 — led by Volume (19.5 of it), then Economy (14.3)
Rashid Khan
89.5 — led by Volume (21.4 of it), then Bowling average (18.9)
Shahid Afridi
70.1 — led by Volume (24.4 of it), then Economy (13.8)
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 829 batters who played at least 10 innings.

ODI Bowling factors and weights

Compared with 456 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.

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
ODIBest ODI All-rounders of the 21st CenturyTop 10