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Test + ODI verdict list

Greatest Test & ODI Batters of All Time

AB de Villiers rises above Joe Root by a breath. Joe Root keeps the better volume in Test batting, 14,208 runs to 8,765 runs. AB de Villiers's strike rate in ODI batting settles it, 101.42 to 87.61.

#1

South Africa

Combined95.8
Test
94.4
ODI
97.3
#2

England

Combined94.4
Test
95.3
ODI
93.5
Combined94.4
Test
91.3
ODI
97.6
Combined94.3
Test
96.2
ODI
92.4
#5

West Indies

Combined94.3
Test
94.8
ODI
93.7
#6

Australia

Combined92.8
Test
96.5
ODI
89.2
#7
Combined92.7
Test
96.7
ODI
88.7
#8

South Africa

Combined92.6
Test
92.7
ODI
92.5
#9

New Zealand

Combined92.6
Test
94.3
ODI
90.9
#10

Australia

Combined92.1
Test
95.6
ODI
88.6
Where the verdict was won: Test
AB de Villiers
94.4 — led by Average (27.0 of it), then Volume (24.5)
Joe Root
95.3 — led by Average (26.9 of it), then Volume (25.0)
Virat Kohli
91.3 — led by Average (26.1 of it), then Volume (24.6)
Sachin Tendulkar
96.2 — led by Average (27.5 of it), then Volume (25.0)
Viv Richards
94.8 — led by Average (26.9 of it), then Volume (24.4)
Steven Smith
96.5 — led by Average (27.7 of it), then Volume (24.8)
Kumar Sangakkara
96.7 — led by Average (27.9 of it), then Volume (24.9)
Hashim Amla
92.7 — led by Average (25.9 of it), then Volume (24.7)
Kane Williamson
94.3 — led by Average (27.5 of it), then Volume (24.7)
Ricky Ponting
95.6 — led by Average (27.2 of it), then Volume (25.0)
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
AB de Villiers
97.3 — led by Average (19.9 of it), then Strike rate (17.0)
Joe Root
93.5 — led by Average (19.8 of it), then Strike rate (14.4)
Virat Kohli
97.6 — led by Average (20.0 of it), then Strike rate (16.0)
Sachin Tendulkar
92.4 — led by Average (19.2 of it), then Volume (15.0)
Viv Richards
93.7 — led by Average (19.5 of it), then Strike rate (15.2)
Steven Smith
89.2 — led by Average (19.0 of it), then Strike rate (14.3)
Kumar Sangakkara
88.7 — led by Average (18.7 of it), then Volume (15.0)
Hashim Amla
92.5 — led by Average (19.7 of it), then Strike rate (14.8)
Kane Williamson
90.9 — led by Average (19.6 of it), then Volume (14.3)
Ricky Ponting
88.6 — led by Average (18.6 of it), then Volume (14.9)
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.

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 1,218 batters who played at least 20 innings.

Batting factors and weights

Compared with 867 batters who played at least 20 innings.

Important scoring choices

Longevity: uses the square root of career span in years multiplied by matches selected. Match counts and first/last dates come from playing-XI appearances, so a did-not-bat or did-not-bowl match still counts.

Contribution: total runs or wickets measure output within the selected period.

Test average magnitude: overall averages use 85% peer position and 15% raw distance from the best qualified average. For bowlers the ratio is reversed because a lower average is better. Contextual averages remain pure percentiles.

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
Test + ODIGreatest Test & ODI Batters of All TimeTop 10