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ODI verdict list

Best ODI All-rounders of the 1990s

Lance Klusener rises above Shaun Pollock, and the edge holds. Shaun Pollock keeps the better economy in ODI bowling, 3.81 to 4.84. Lance Klusener's average in ODI batting settles it, 46.43 to 27.74.

#1

South Africa

Combined80.3
ODI Batting
90.0
ODI Bowling
71.6
#2

South Africa

Combined77.0
ODI Batting
67.8
ODI Bowling
87.4
#3

Pakistan

Combined74.6
ODI Batting
59.9
ODI Bowling
92.9
#4
Combined71.6
ODI Batting
74.4
ODI Bowling
69.0
#5

South Africa

Combined69.3
ODI Batting
89.2
ODI Bowling
53.9
#6

South Africa

Combined69.3
ODI Batting
82.6
ODI Bowling
58.2
#7

West Indies

Combined68.9
ODI Batting
86.7
ODI Bowling
54.8
#8

Australia

Combined68.1
ODI Batting
91.5
ODI Bowling
50.7
Combined66.4
ODI Batting
82.4
ODI Bowling
53.5
#10

Pakistan

Combined66.0
ODI Batting
80.7
ODI Bowling
54.0
Where the verdict was won: ODI Batting
Lance Klusener
90.0 — led by Average (19.9 of it), then Volume (19.5)
Shaun Pollock
67.8 — led by Volume (17.7 of it), then Strike rate (15.9)
Wasim Akram
59.9 — led by Volume (20.8 of it), then Strike rate (17.1)
Simon O'Donnell
74.4 — led by Strike rate (17.3 of it), then Average (16.1)
Hansie Cronje
89.2 — led by Volume (24.1 of it), then Average (18.3)
Jacques Kallis
82.6 — led by Volume (21.3 of it), then Average (19.2)
Carl Hooper
86.7 — led by Volume (23.4 of it), then Average (17.6)
Mark Waugh
91.5 — led by Volume (24.8 of it), then Average (18.8)
Sanath Jayasuriya
82.4 — led by Volume (24.3 of it), then Strike rate (17.1)
Saleem Malik
80.7 — led by Volume (23.7 of it), then Average (16.6)
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
Lance Klusener
71.6 — led by Volume (18.2 of it), then Bowling average (16.1)
Shaun Pollock
87.4 — led by Volume (20.3 of it), then Bowling average (17.9)
Wasim Akram
92.9 — led by Volume (25.0 of it), then Bowling average (17.8)
Simon O'Donnell
69.0 — led by Bowling average (16.0 of it), then Economy (13.7)
Hansie Cronje
53.9 — led by Volume (19.3 of it), then Economy (8.7)
Jacques Kallis
58.2 — led by Volume (14.1 of it), then Bowling average (11.9)
Carl Hooper
54.8 — led by Volume (21.0 of it), then Economy (9.7)
Mark Waugh
50.7 — led by Volume (17.3 of it), then Bowling average (9.5)
Sanath Jayasuriya
53.5 — led by Volume (22.5 of it), then Bowling average (8.7)
Saleem Malik
54.0 — led by Volume (17.5 of it), then Bowling average (11.5)
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.
ODI Batting factors and weights

Compared with 295 batters who played at least 10 innings.

ODI 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.

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 1990sTop 10