DeepMidwicket
← All verdict lists

ODI verdict list

Best ODI All-rounders of the 2020s

Shakib Al Hasan rises above David Willey by a breath. David Willey keeps the better strike rate in ODI batting, 108.47 to 83.30. Shakib Al Hasan's economy in ODI bowling settles it, 4.38 to 5.18.

#1

Bangladesh

Combined71.4
ODI Batting
66.3
ODI Bowling
76.9
#2
Combined69.8
ODI Batting
60.9
ODI Bowling
79.9
Combined68.0
ODI Batting
75.4
ODI Bowling
61.4
#4
Combined66.5
ODI Batting
54.9
ODI Bowling
80.6
#5

Ireland

Combined63.2
ODI Batting
55.8
ODI Bowling
71.5
Combined62.4
ODI Batting
52.2
ODI Bowling
74.7
#7

Afghanistan

Combined60.5
ODI Batting
45.6
ODI Bowling
80.4
#8

Pakistan

Combined58.6
ODI Batting
45.6
ODI Bowling
75.2
#9
Combined57.8
ODI Batting
72.1
ODI Bowling
46.3
#10
Combined54.5
ODI Batting
40.5
ODI Bowling
73.3
Where the verdict was won: ODI Batting
Shakib Al Hasan
66.3 — led by Average (13.7 of it), then Average vs strong opposition (11.5)
David Willey
60.9 — led by Strike rate (18.5 of it), then Average (12.3)
Hardik Pandya
75.4 — led by Strike rate (17.8 of it), then Average (14.4)
Jofra Archer
54.9 — led by Strike rate (22.8 of it), then Average (12.0). 15% of the weight had no figure to score and was spread across the rest.
Simi Singh
55.8 — led by Average vs strong opposition (14.8 of it), then Average (13.6). 15% of the weight had no figure to score and was spread across the rest.
Wanindu Hasaranga
52.2 — led by Strike rate (18.8 of it), then Average (8.8)
Rashid Khan
45.6 — led by Strike rate (19.5 of it), then Average (6.5)
Naseem Shah
45.6 — led by Strike rate (11.5 of it), then Average in wins (9.5)
Charith Asalanka
72.1 — led by Average (16.1 of it), then Average in wins (12.5)
Craig Young
40.5 — led by Strike rate (15.8 of it), then Average vs strong opposition (10.5). 15% of the weight had no figure to score and was spread across the rest.
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
Shakib Al Hasan
76.9 — led by Economy (19.5 of it), then Bowling average (16.5)
David Willey
79.9 — led by Bowling average (19.3 of it), then Economy (12.4)
Hardik Pandya
61.4 — led by Bowling average (14.5 of it), then Bowling average vs strong opposition (13.2)
Jofra Archer
80.6 — led by Bowling average (17.6 of it), then Bowling average vs strong opposition (13.7)
Simi Singh
71.5 — led by Economy (20.0 of it), then Bowling average (18.7)
Wanindu Hasaranga
74.7 — led by Bowling average (18.5 of it), then Economy (15.8)
Rashid Khan
80.4 — led by Economy (19.3 of it), then Bowling average (17.5)
Naseem Shah
75.2 — led by Bowling average (16.9 of it), then Bowling average vs strong opposition (11.6)
Charith Asalanka
46.3 — led by Bowling average vs strong opposition (15.0 of it), then Economy (14.7)
Craig Young
73.3 — led by Bowling average (15.1 of it), then Bowling average vs strong opposition (11.7)
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 240 batters who played at least 10 innings.

ODI Bowling factors and weights

Compared with 111 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.

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 2020sTop 10