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Test verdict list

Greatest Test Batters of All Time

Donald Bradman rises above Kumar Sangakkara by a breath. Kumar Sangakkara keeps the better volume in Test batting, 12,400 runs to 6,996 runs. Donald Bradman's average in Test batting settles it, 99.94 to 57.41.

#1
Verdict97.6
Average
99.94
Away average
102.85
Average vs strong opposition
89.79
Consistency
52.50
Average in wins
130.08
Volume
6,996 runs
Longevity
19.7 yrs · 52 matches
#2
Verdict96.7
Average
57.41
Away average
53.13
Average vs strong opposition
47.71
Consistency
38.63
Average in wins
71.70
Volume
12,400 runs
Longevity
15.1 yrs · 134 matches
#3

Australia

Verdict96.5
Average
56.00
Away average
54.83
Average vs strong opposition
55.36
Consistency
36.77
Average in wins
63.84
Volume
10,920 runs
Longevity
16.1 yrs · 125 matches
#4

South Africa

Verdict96.4
Average
55.37
Away average
53.81
Average vs strong opposition
46.98
Consistency
36.79
Average in wins
62.54
Volume
13,289 runs
Longevity
18.0 yrs · 166 matches
Verdict96.2
Average
53.79
Away average
54.75
Average vs strong opposition
46.79
Consistency
36.17
Average in wins
61.94
Volume
15,921 runs
Longevity
24.0 yrs · 200 matches
#6

West Indies

Verdict96.0
Average
57.78
Away average
51.09
Average vs strong opposition
53.68
Consistency
35.00
Average in wins
77.42
Volume
8,032 runs
Longevity
20.0 yrs · 93 matches
#7

Australia

Verdict95.6
Average
51.85
Away average
45.81
Average vs strong opposition
50.28
Consistency
35.89
Average in wins
59.46
Volume
13,378 runs
Longevity
17.0 yrs · 168 matches
#8

West Indies

Verdict95.6
Average
52.89
Away average
47.80
Average vs strong opposition
50.71
Consistency
35.34
Average in wins
61.02
Volume
11,953 runs
Longevity
16.0 yrs · 131 matches
#9
Verdict95.5
Average
58.46
Away average
66.33
Average vs strong opposition
51.85
Consistency
32.86
Average in wins
69.84
Volume
7,249 runs
Longevity
19.2 yrs · 85 matches
Verdict95.4
Average
51.37
Away average
46.11
Average vs strong opposition
50.60
Consistency
34.29
Average in wins
65.67
Volume
11,867 runs
Longevity
21.1 yrs · 164 matches
Where the verdict was won
Donald Bradman
97.6 — led by Average (30.0 of it), then Volume (23.8)
Kumar Sangakkara
96.7 — led by Average (27.9 of it), then Volume (24.9)
Steven Smith
96.5 — led by Average (27.7 of it), then Volume (24.8)
Jacques Kallis
96.4 — led by Average (27.7 of it), then Volume (24.9)
Sachin Tendulkar
96.2 — led by Average (27.5 of it), then Volume (25.0)
Garry Sobers
96.0 — led by Average (27.9 of it), then Volume (24.3)
Ricky Ponting
95.6 — led by Average (27.2 of it), then Volume (25.0)
Brian Lara
95.6 — led by Average (27.4 of it), then Volume (24.9)
Wally Hammond
95.5 — led by Average (28.0 of it), then Volume (24.0)
Shivnarine Chanderpaul
95.4 — led by Average (27.1 of it), then Volume (24.8)
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.

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.

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
TestGreatest Test Batters of All TimeTop 10