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Test verdict list

Best Test Batters of the 1990s

Sachin Tendulkar rises above Steve Waugh by a breath. Steve Waugh keeps the better average in wins in Test batting, 71.98 to 59.22. Sachin Tendulkar's average in Test batting settles it, 58.00 to 53.10.

Verdict98.2
Average
58.00
Away average
56.56
Average vs strong opposition
52.43
Consistency
39.45
Average in wins
59.22
Volume
5,626 runs
#2

Australia

Verdict97.0
Average
53.10
Away average
57.86
Average vs strong opposition
44.91
Consistency
32.17
Average in wins
71.98
Volume
6,213 runs
#3

West Indies

Verdict95.8
Average
51.60
Away average
44.68
Average vs strong opposition
43.77
Consistency
37.50
Average in wins
58.15
Volume
5,573 runs
#4
Verdict93.5
Average
51.56
Away average
33.57
Average vs strong opposition
45.00
Consistency
34.94
Average in wins
83.22
Volume
4,176 runs
#5

Pakistan

Verdict93.0
Average
46.11
Away average
47.23
Average vs strong opposition
39.59
Consistency
40.00
Average in wins
68.82
Volume
3,366 runs
Verdict92.0
Average
46.82
Away average
35.00
Average vs strong opposition
47.48
Consistency
30.77
Average in wins
46.83
Volume
4,448 runs
#7

Australia

Verdict91.1
Average
45.29
Away average
40.40
Average vs strong opposition
39.33
Consistency
28.70
Average in wins
53.90
Volume
4,303 runs
#8
Verdict91.1
Average
45.15
Away average
37.63
Average vs strong opposition
43.97
Consistency
28.16
Average in wins
58.23
Volume
4,425 runs
Verdict91.1
Average
49.96
Away average
59.81
Average vs strong opposition
37.43
Consistency
37.93
Average in wins
38.83
Volume
2,698 runs
#10

Australia

Verdict91.0
Average
41.64
Away average
39.37
Average vs strong opposition
43.03
Consistency
32.93
Average in wins
51.37
Volume
6,371 runs
Where the verdict was won
Sachin Tendulkar
98.2 — led by Volume (34.3 of it), then Average (29.7)
Steve Waugh
97.0 — led by Volume (34.5 of it), then Average (29.1)
Brian Lara
95.8 — led by Volume (34.2 of it), then Average (28.8)
Graham Gooch
93.5 — led by Volume (33.7 of it), then Average (28.7)
Saeed Anwar
93.0 — led by Volume (32.5 of it), then Average (27.6)
Aravinda de Silva
92.0 — led by Volume (34.1 of it), then Average (27.8)
David Boon
91.1 — led by Volume (33.8 of it), then Average (27.1)
Michael Slater
91.1 — led by Volume (33.9 of it), then Average (26.9)
Rahul Dravid
91.1 — led by Volume (31.0 of it), then Average (28.4)
Mark Waugh
91.0 — led by Volume (34.9 of it), then Average (24.9)
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 265 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.

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
TestBest Test Batters of the 1990sTop 10