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Test verdict list

Greatest Test Bowlers of All Time

Richard Hadlee rises above Malcolm Marshall by a breath. Malcolm Marshall keeps the better bowling average in Test bowling, 20.95 to 22.30. Richard Hadlee's volume in Test bowling settles it, 431 wickets to 376 wickets.

#1

New Zealand

Verdict91.2
Bowling average
22.30
Bowling strike rate
50.85
Away bowling average
21.72
Bowling average vs strong opposition
22.31
Wicket-taking consistency
54.00
Bowling average in wins
13.07
Volume
431 wickets
Longevity
17.4 yrs · 86 matches
#2

West Indies

Verdict90.7
Bowling average
20.95
Bowling strike rate
46.77
Away bowling average
21.58
Bowling average vs strong opposition
20.21
Wicket-taking consistency
42.38
Bowling average in wins
16.79
Volume
376 wickets
Longevity
12.6 yrs · 81 matches
Verdict90.4
Bowling average
22.73
Bowling strike rate
55.05
Away bowling average
27.80
Bowling average vs strong opposition
26.65
Wicket-taking consistency
70.87
Bowling average in wins
16.18
Volume
800 wickets
Longevity
17.9 yrs · 133 matches
#4

Australia

Verdict90.2
Bowling average
21.64
Bowling strike rate
51.95
Away bowling average
21.35
Bowling average vs strong opposition
24.86
Wicket-taking consistency
42.80
Bowling average in wins
19.19
Volume
563 wickets
Longevity
13.1 yrs · 124 matches
#5

West Indies

Verdict89.5
Bowling average
20.99
Bowling strike rate
54.58
Away bowling average
20.79
Bowling average vs strong opposition
22.10
Wicket-taking consistency
38.55
Bowling average in wins
16.87
Volume
405 wickets
Longevity
12.4 yrs · 98 matches
#6

South Africa

Verdict89.5
Bowling average
22.95
Bowling strike rate
42.39
Away bowling average
24.24
Bowling average vs strong opposition
26.10
Wicket-taking consistency
49.71
Bowling average in wins
16.61
Volume
439 wickets
Longevity
14.2 yrs · 93 matches
#7

Pakistan

Verdict88.5
Bowling average
22.81
Bowling strike rate
53.75
Away bowling average
25.76
Bowling average vs strong opposition
23.30
Wicket-taking consistency
44.37
Bowling average in wins
14.50
Volume
362 wickets
Longevity
20.6 yrs · 88 matches
#8

Australia

Verdict88.5
Bowling average
21.91
Bowling strike rate
45.57
Away bowling average
25.47
Bowling average vs strong opposition
22.81
Wicket-taking consistency
45.26
Bowling average in wins
17.77
Volume
322 wickets
Longevity
14.8 yrs · 74 matches
#9

South Africa

Verdict88.2
Bowling average
22.04
Bowling strike rate
39.52
Away bowling average
25.62
Bowling average vs strong opposition
23.76
Wicket-taking consistency
50.00
Bowling average in wins
17.17
Volume
340 wickets
Longevity
10.0 yrs · 73 matches
#10
Verdict87.3
Bowling average
21.58
Bowling strike rate
49.44
Away bowling average
26.09
Bowling average vs strong opposition
22.95
Wicket-taking consistency
40.94
Bowling average in wins
17.31
Volume
307 wickets
Longevity
13.0 yrs · 67 matches
Where the verdict was won
Richard Hadlee
91.2 — led by Bowling average (25.9 of it), then Volume (22.7)
Malcolm Marshall
90.7 — led by Bowling average (27.0 of it), then Volume (22.1)
Muthiah Muralidaran
90.4 — led by Bowling average (25.7 of it), then Volume (25.0)
Glenn McGrath
90.2 — led by Bowling average (26.4 of it), then Volume (23.6)
Curtly Ambrose
89.5 — led by Bowling average (26.9 of it), then Volume (22.4)
Dale Steyn
89.5 — led by Bowling average (25.5 of it), then Volume (22.9)
Imran Khan
88.5 — led by Bowling average (25.6 of it), then Volume (22.0)
Pat Cummins
88.5 — led by Bowling average (26.2 of it), then Volume (21.4)
Kagiso Rabada
88.2 — led by Bowling average (26.2 of it), then Volume (21.7)
Fred Trueman
87.3 — led by Bowling average (26.5 of it), then Volume (21.0)
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.

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 504 bowlers who played at least 20 innings and bowled at least 3,000 balls.

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.

Wicket magnitude: career and long-era wicket volume uses 85% peer position and 15% raw distance from the leading qualified wicket total. This preserves the difference between exceptional totals that sit together at the top of a percentile table. Run volume stays a pure percentile, because career run totals vary far more widely and blending raw magnitude there would penalise a short career of outstanding quality.

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 Bowlers of All TimeTop 10