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Test verdict list

Best Test Bowlers of the 2020s

Simon Harmer rises above Jasprit Bumrah by a breath. Jasprit Bumrah keeps the better volume in Test bowling, 172 wickets to 49 wickets. Simon Harmer's wicket-taking consistency in Test bowling settles it, 68.75 to 41.33.

#1

South Africa

Verdict91.8
Bowling average
18.69
Bowling strike rate
40.53
Away bowling average
19.71
Bowling average vs strong opposition
18.56
Wicket-taking consistency
68.75
Bowling average in wins
13.53
Volume
49 wickets
Verdict91.3
Bowling average
19.99
Bowling strike rate
42.56
Away bowling average
20.44
Bowling average vs strong opposition
21.28
Wicket-taking consistency
41.33
Bowling average in wins
15.79
Volume
172 wickets
#3

New Zealand

Verdict90.9
Bowling average
20.98
Bowling strike rate
41.49
Away bowling average
20.86
Bowling average vs strong opposition
21.22
Wicket-taking consistency
45.83
Bowling average in wins
16.24
Volume
124 wickets
#4

South Africa

Verdict90.8
Bowling average
21.36
Bowling strike rate
38.88
Away bowling average
22.31
Bowling average vs strong opposition
21.77
Wicket-taking consistency
47.46
Bowling average in wins
16.75
Volume
150 wickets
#5

South Africa

Verdict86.9
Bowling average
21.12
Bowling strike rate
38.29
Away bowling average
22.32
Bowling average vs strong opposition
20.13
Wicket-taking consistency
42.11
Bowling average in wins
18.63
Volume
89 wickets
Verdict84.4
Bowling average
21.19
Bowling strike rate
44.77
Away bowling average
28.38
Bowling average vs strong opposition
21.88
Wicket-taking consistency
52.17
Bowling average in wins
16.52
Volume
175 wickets
Verdict83.6
Bowling average
19.54
Bowling strike rate
43.18
Away bowling average
28.04
Bowling average vs strong opposition
22.00
Wicket-taking consistency
39.53
Bowling average in wins
13.75
Volume
99 wickets
#8
Verdict80.4
Bowling average
19.67
Bowling strike rate
46.67
Away bowling average
23.38
Bowling average vs strong opposition
19.04
Wicket-taking consistency
27.59
Bowling average in wins
17.18
Volume
57 wickets
#9

Australia

Verdict80.1
Bowling average
18.59
Bowling strike rate
38.91
Away bowling average
37.63
Bowling average vs strong opposition
19.77
Wicket-taking consistency
43.24
Bowling average in wins
18.30
Volume
82 wickets
#10
Verdict79.9
Bowling average
20.03
Bowling strike rate
43.50
Away bowling average
24.17
Bowling average vs strong opposition
22.15
Wicket-taking consistency
26.92
Bowling average in wins
18.83
Volume
108 wickets
Where the verdict was won
Simon Harmer
91.8 — led by Bowling average (24.5 of it), then Away bowling average (14.8)
Jasprit Bumrah
91.3 — led by Bowling average (23.7 of it), then Away bowling average (14.5)
Matt Henry
90.9 — led by Bowling average (22.8 of it), then Away bowling average (14.4)
Kagiso Rabada
90.8 — led by Bowling average (22.0 of it), then Bowling strike rate (14.5)
Marco Jansen
86.9 — led by Bowling average (22.6 of it), then Bowling strike rate (14.8)
Ravichandran Ashwin
84.4 — led by Bowling average (22.3 of it), then Bowling average vs strong opposition (13.2)
Ollie Robinson
83.6 — led by Bowling average (24.2 of it), then Bowling average vs strong opposition (13.0)
Axar Patel
80.4 — led by Bowling average (23.9 of it), then Bowling average vs strong opposition (14.3)
Scott Boland
80.1 — led by Bowling average (24.7 of it), then Bowling strike rate (14.4)
Josh Hazlewood
79.9 — led by Bowling average (23.4 of it), then Bowling average vs strong opposition (12.9)
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.
Bowling factors and weights

Compared with 94 bowlers who played at least 10 innings and bowled at least 1,500 balls.

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.

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 Bowlers of the 2020sTop 10