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ODI verdict list

Best ODI All-rounders of the 2000s

Andrew Flintoff rises above Shaun Pollock with daylight to spare. Shaun Pollock keeps the better volume in ODI bowling, 269 wickets to 161 wickets. Andrew Flintoff's average in ODI batting settles it, 32.92 to 24.14.

Combined85.8
ODI Batting
82.5
ODI Bowling
89.2
#2

South Africa

Combined76.3
ODI Batting
66.6
ODI Bowling
87.4
#3
Combined74.3
ODI Batting
87.8
ODI Bowling
62.9
#4

Zimbabwe

Combined73.8
ODI Batting
75.0
ODI Bowling
72.7
#5

Australia

Combined73.2
ODI Batting
83.9
ODI Bowling
63.9
#6

West Indies

Combined72.6
ODI Batting
91.4
ODI Bowling
57.6
#7

South Africa

Combined72.5
ODI Batting
90.5
ODI Bowling
58.1
#8

Pakistan

Combined72.1
ODI Batting
77.0
ODI Bowling
67.5
#9
Combined70.6
ODI Batting
70.3
ODI Bowling
70.9
#10

Bangladesh

Combined67.0
ODI Batting
77.7
ODI Bowling
57.7
Where the verdict was won: ODI Batting
Andrew Flintoff
82.5 — led by Volume (22.4 of it), then Strike rate (16.4)
Shaun Pollock
66.6 — led by Volume (20.2 of it), then Strike rate (16.2)
Darren Lehmann
87.8 — led by Average (19.9 of it), then Volume (19.1)
Heath Streak
75.0 — led by Volume (20.1 of it), then Average (15.7)
Shane Watson
83.9 — led by Volume (21.1 of it), then Average (18.4)
Chris Gayle
91.4 — led by Volume (24.6 of it), then Average (18.7)
Jacques Kallis
90.5 — led by Volume (24.7 of it), then Average (19.8)
Abdul Razzaq
77.0 — led by Volume (23.0 of it), then Strike rate (14.9)
Shahid Afridi
70.3 — led by Volume (22.8 of it), then Strike rate (18.0)
Shakib Al Hasan
77.7 — led by Volume (20.5 of it), then Average (16.9)
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
89.2 — led by Volume (21.4 of it), then Bowling average (18.1)
Shaun Pollock
87.4 — led by Volume (24.2 of it), then Bowling average (17.3)
Darren Lehmann
62.9 — led by Bowling average (17.0 of it), then Economy (10.8)
Heath Streak
72.7 — led by Volume (20.4 of it), then Bowling average (13.3)
Shane Watson
63.9 — led by Volume (17.9 of it), then Bowling average (14.2)
Chris Gayle
57.6 — led by Volume (20.9 of it), then Bowling average (9.6)
Jacques Kallis
58.1 — led by Volume (22.2 of it), then Bowling average (9.9)
Abdul Razzaq
67.5 — led by Volume (22.8 of it), then Bowling average (10.5)
Shahid Afridi
70.9 — led by Volume (22.6 of it), then Bowling average (12.6)
Shakib Al Hasan
57.7 — led by Volume (16.4 of it), then Economy (16.1)
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 393 batters who played at least 10 innings.

ODI Bowling factors and weights

Compared with 214 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 2000sTop 10