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ODI verdict list

Best ODI Batters of the 2010s

AB de Villiers rises above Virat Kohli, and the edge holds. Virat Kohli keeps the better volume in ODI batting, 11,125 runs to 6,479 runs. AB de Villiers's strike rate in ODI batting settles it, 110.02 to 94.11.

#1

South Africa

Verdict98.7
Average
64.79
Strike rate
110.02
Away average
67.84
Average vs strong opposition
70.59
Consistency
42.19
Average in wins
80.50
Volume
6,479 runs
Verdict96.3
Average
60.79
Strike rate
94.11
Away average
61.16
Average vs strong opposition
60.52
Consistency
42.73
Average in wins
77.80
Volume
11,125 runs
Verdict93.5
Average
53.56
Strike rate
90.64
Away average
41.63
Average vs strong opposition
47.37
Consistency
38.07
Average in wins
65.51
Volume
8,249 runs
#4

Australia

Verdict93.4
Average
47.88
Strike rate
96.05
Away average
42.97
Average vs strong opposition
49.97
Consistency
33.64
Average in wins
57.34
Volume
4,884 runs
#5

England

Verdict92.0
Average
51.37
Strike rate
87.38
Away average
55.26
Average vs strong opposition
47.67
Consistency
36.30
Average in wins
65.60
Volume
5,856 runs
#6

South Africa

Verdict91.8
Average
45.43
Strike rate
95.28
Away average
41.06
Average vs strong opposition
46.00
Consistency
33.33
Average in wins
51.78
Volume
4,906 runs
#7

South Africa

Verdict91.5
Average
49.99
Strike rate
89.22
Away average
47.19
Average vs strong opposition
38.40
Consistency
37.82
Average in wins
64.81
Volume
7,248 runs
#8
Verdict91.4
Average
52.97
Strike rate
84.70
Away average
48.32
Average vs strong opposition
52.84
Consistency
42.22
Average in wins
64.07
Volume
6,356 runs
#9

New Zealand

Verdict91.1
Average
54.02
Strike rate
83.57
Away average
48.61
Average vs strong opposition
48.97
Consistency
38.62
Average in wins
70.35
Volume
6,428 runs
#10
Verdict91.0
Average
47.68
Strike rate
104.07
Away average
33.65
Average vs strong opposition
46.98
Consistency
29.41
Average in wins
59.00
Volume
2,861 runs
Where the verdict was won
AB de Villiers
98.7 — led by Volume (24.8 of it), then Average (20.0)
Virat Kohli
96.3 — led by Volume (25.0 of it), then Average (19.9)
Rohit Sharma
93.5 — led by Volume (24.9 of it), then Average (19.7)
David Warner
93.4 — led by Volume (23.9 of it), then Average (19.3)
Joe Root
92.0 — led by Volume (24.4 of it), then Average (19.5)
Quinton de Kock
91.8 — led by Volume (24.0 of it), then Average (18.8)
Hashim Amla
91.5 — led by Volume (24.9 of it), then Average (19.4)
Kumar Sangakkara
91.4 — led by Volume (24.7 of it), then Average (19.7)
Ross Taylor
91.1 — led by Volume (24.8 of it), then Average (19.8)
Jonny Bairstow
91.0 — led by Volume (22.2 of it), then Average (19.2)
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.
Batting factors and weights

Compared with 435 batters who played at least 10 innings.

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.

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 Batters of the 2010sTop 10