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Test + ODI verdict list

Greatest Test & ODI Bowlers of All Time

Glenn McGrath rises above Muthiah Muralidaran by a breath. Muthiah Muralidaran keeps the better volume in Test bowling, 795 wickets to 563 wickets. Glenn McGrath's bowling average vs strong opposition in ODI bowling settles it, 24.38 to 28.53.

#1

Australia

Combined91.1
Test
90.2
ODI
91.9
Combined91.1
Test
90.4
ODI
91.7
#3

Pakistan

Combined89.7
Test
87.0
ODI
92.4
#4

New Zealand

Combined89.7
Test
91.2
ODI
88.1
#5

South Africa

Combined89.0
Test
87.0
ODI
91.0
#6

West Indies

Combined87.3
Test
89.5
ODI
85.2
#7

West Indies

Combined87.2
Test
86.2
ODI
88.2
#8

South Africa

Combined86.1
Test
84.7
ODI
87.4
#9

Pakistan

Combined86.1
Test
86.7
ODI
85.5
#10

Australia

Combined85.8
Test
86.4
ODI
85.1
Where the verdict was won: Test
Glenn McGrath
90.2 — led by Bowling average (26.4 of it), then Volume (23.7)
Muthiah Muralidaran
90.4 — led by Bowling average (25.7 of it), then Volume (25.0)
Wasim Akram
87.0 — led by Bowling average (25.1 of it), then Volume (22.5)
Richard Hadlee
91.2 — led by Bowling average (25.9 of it), then Volume (22.7)
Allan Donald
87.0 — led by Bowling average (26.1 of it), then Volume (21.6)
Curtly Ambrose
89.5 — led by Bowling average (26.9 of it), then Volume (22.4)
Joel Garner
86.2 — led by Bowling average (26.9 of it), then Volume (20.4)
Shaun Pollock
84.7 — led by Bowling average (25.4 of it), then Volume (22.6)
Waqar Younis
86.7 — led by Bowling average (25.1 of it), then Volume (22.1)
Dennis Lillee
86.4 — led by Bowling average (24.8 of it), then Volume (21.8)
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.
Where the verdict was won: ODI
Glenn McGrath
91.9 — led by Bowling average (18.5 of it), then Economy (16.0)
Muthiah Muralidaran
91.7 — led by Bowling average (18.3 of it), then Economy (15.8)
Wasim Akram
92.4 — led by Bowling average (18.1 of it), then Economy (15.8)
Richard Hadlee
88.1 — led by Bowling average (18.7 of it), then Economy (16.9)
Allan Donald
91.0 — led by Bowling average (18.7 of it), then Economy (14.4)
Curtly Ambrose
85.2 — led by Bowling average (17.6 of it), then Economy (16.7)
Joel Garner
88.2 — led by Bowling average (19.0 of it), then Economy (17.0)
Shaun Pollock
87.4 — led by Bowling average (17.5 of it), then Economy (16.4)
Waqar Younis
85.5 — led by Bowling average (17.8 of it), then Volume (14.5)
Dennis Lillee
85.1 — led by Bowling average (18.8 of it), then Economy (16.5)
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.

Bowling factors and weights

Compared with 441 bowlers who played at least 20 innings and bowled at least 1,500 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.

ODI eligibility: this curated list includes players representing current ICC full-member teams. All of their recorded opposition still counts.

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
Test + ODIGreatest Test & ODI Bowlers of All TimeTop 10