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Test verdict list

Best Test Batters of the 2010s

Steven Smith rises above Kumar Sangakkara by a breath. Kumar Sangakkara keeps the better away average in Test batting, 60.46 to 60.15. Steven Smith's volume in Test batting settles it, 7,164 runs to 4,851 runs.

#1

Australia

Verdict98.9
Average
62.84
Away average
60.15
Average vs strong opposition
64.85
Consistency
41.54
Average in wins
81.33
Volume
7,164 runs
#2
Verdict97.1
Average
61.41
Away average
60.46
Average vs strong opposition
47.00
Consistency
43.02
Average in wins
60.48
Volume
4,851 runs
Verdict96.6
Average
54.98
Away average
46.13
Average vs strong opposition
51.87
Consistency
34.75
Average in wins
60.50
Volume
7,202 runs
#4

South Africa

Verdict96.1
Average
57.49
Away average
46.42
Average vs strong opposition
45.10
Consistency
40.82
Average in wins
72.77
Volume
5,059 runs
#5

England

Verdict95.5
Average
48.41
Away average
44.00
Average vs strong opposition
50.49
Consistency
37.80
Average in wins
62.36
Volume
7,359 runs
#6

South Africa

Verdict95.3
Average
49.96
Away average
47.49
Average vs strong opposition
50.02
Consistency
32.88
Average in wins
63.31
Volume
6,695 runs
#7

New Zealand

Verdict95.1
Average
51.44
Away average
42.54
Average vs strong opposition
42.15
Consistency
37.96
Average in wins
74.02
Volume
6,379 runs
#8

Pakistan

Verdict95.0
Average
54.37
Away average
51.50
Average vs strong opposition
48.64
Consistency
29.70
Average in wins
80.88
Volume
4,839 runs
Verdict94.2
Average
60.34
Away average
60.20
Average vs strong opposition
48.66
Consistency
31.43
Average in wins
102.20
Volume
3,198 runs
#10
Verdict93.7
Average
46.41
Away average
48.23
Average vs strong opposition
46.40
Consistency
29.85
Average in wins
56.30
Volume
8,818 runs
Where the verdict was won
Steven Smith
98.9 — led by Volume (34.7 of it), then Average (29.6)
Kumar Sangakkara
97.1 — led by Volume (33.7 of it), then Average (29.4)
Virat Kohli
96.6 — led by Volume (34.8 of it), then Average (28.5)
AB de Villiers
96.1 — led by Volume (33.8 of it), then Average (28.9)
Joe Root
95.5 — led by Volume (34.9 of it), then Average (27.3)
Hashim Amla
95.3 — led by Volume (34.5 of it), then Average (27.6)
Kane Williamson
95.1 — led by Volume (34.4 of it), then Average (28.1)
Younis Khan
95.0 — led by Volume (33.6 of it), then Average (28.4)
Shivnarine Chanderpaul
94.2 — led by Volume (31.3 of it), then Average (29.2)
Alastair Cook
93.7 — led by Volume (35.0 of it), then Average (26.7)
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.
Batting factors and weights

Compared with 335 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 2010sTop 10