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Test + ODI + T20I verdict list

Greatest Test, ODI & T20I All-rounders of All Time

Shakib Al Hasan rises above Mohammad Hafeez with daylight to spare. Mohammad Hafeez keeps the better away bowling average in T20I bowling, 13.97 to 23.74. Shakib Al Hasan's volume in Test bowling settles it, 246 wickets to 53 wickets.

#1

Bangladesh

Combined66.2
Test Batting
79.7
Test Bowling
63.7
ODI Batting
85.5
ODI Bowling
66.1
T20I Batting
36.9
T20I Bowling
73.7
#2
Combined55.1
Test Batting
76.0
Test Bowling
37.9
ODI Batting
75.7
ODI Bowling
45.6
T20I Batting
47.8
T20I Bowling
58.3
#3
Combined52.5
Test Batting
70.6
Test Bowling
34.8
ODI Batting
70.8
ODI Bowling
58.4
T20I Batting
37.6
T20I Bowling
50.5
#4

New Zealand

Combined46.8
Test Batting
46.8
Test Bowling
43.4
ODI Batting
64.2
ODI Bowling
47.5
T20I Batting
27.9
T20I Bowling
57.9
#5

West Indies

Combined45.0
Test Batting
63.0
Test Bowling
33.5
ODI Batting
63.0
ODI Bowling
61.4
T20I Batting
21.3
T20I Bowling
33.7
#6
Combined43.9
Test Batting
57.3
Test Bowling
16.3
ODI Batting
80.0
ODI Bowling
30.5
T20I Batting
58.0
T20I Bowling
45.9
#7

England

Combined41.4
Test Batting
62.3
Test Bowling
49.2
ODI Batting
62.4
ODI Bowling
27.0
T20I Batting
37.6
T20I Bowling
20.4
Where the verdict was won: Test Batting
Shakib Al Hasan
79.7 — led by Volume (22.5 of it), then Average (21.7)
Mohammad Hafeez
76.0 — led by Average (21.6 of it), then Volume (21.6)
Shahid Afridi
70.6 — led by Average (20.9 of it), then Volume (16.9)
Mitchell Santner
46.8 — led by Volume (13.5 of it), then Average (12.6)
Dwayne Bravo
63.0 — led by Volume (18.5 of it), then Average (17.5)
Sikandar Raza
57.3 — led by Average (18.5 of it), then Volume (14.7)
Moeen Ali
62.3 — led by Volume (20.7 of it), then Average (15.0)
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.
Where the verdict was won: Test Bowling
Shakib Al Hasan
63.7 — led by Volume (20.0 of it), then Bowling average (14.6)
Mohammad Hafeez
37.9 — led by Bowling average (11.2 of it), then Longevity (8.3)
Shahid Afridi
34.8 — led by Bowling average (9.5 of it), then Bowling strike rate (5.6)
Mitchell Santner
43.4 — led by Bowling average (11.5 of it), then Volume (10.5)
Dwayne Bravo
33.5 — led by Volume (11.4 of it), then Bowling average (5.1)
Sikandar Raza
16.3 — led by Bowling average in wins (4.8 of it), then Longevity (4.3)
Moeen Ali
49.2 — led by Volume (18.7 of it), then Longevity (7.6)
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 Batting
Shakib Al Hasan
85.5 — led by Average (17.0 of it), then Volume (14.4)
Mohammad Hafeez
75.7 — led by Average (15.0 of it), then Volume (14.0)
Shahid Afridi
70.8 — led by Strike rate (17.9 of it), then Volume (14.5)
Mitchell Santner
64.2 — led by Strike rate (15.6 of it), then Average (11.7)
Dwayne Bravo
63.0 — led by Strike rate (12.5 of it), then Volume (12.0)
Sikandar Raza
80.0 — led by Average (16.6 of it), then Strike rate (13.6)
Moeen Ali
62.4 — led by Strike rate (16.7 of it), then Volume (11.3)
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 Bowling
Shakib Al Hasan
66.1 — led by Volume (13.8 of it), then Bowling average (12.7)
Mohammad Hafeez
45.6 — led by Economy (14.0 of it), then Volume (10.5)
Shahid Afridi
58.4 — led by Volume (14.3 of it), then Longevity (10.0)
Mitchell Santner
47.5 — led by Volume (10.5 of it), then Economy (8.5)
Dwayne Bravo
61.4 — led by Bowling average (12.7 of it), then Volume (12.3)
Sikandar Raza
30.5 — led by Longevity (8.4 of it), then Volume (8.0)
Moeen Ali
27.0 — led by Volume (9.3 of it), then Longevity (7.2)
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: T20I Batting
Shakib Al Hasan
36.9 — led by Longevity (9.5 of it), then Volume (8.2)
Mohammad Hafeez
47.8 — led by Longevity (9.1 of it), then Volume (8.1)
Shahid Afridi
37.6 — led by Strike rate (28.2 of it), then Longevity (4.5)
Mitchell Santner
27.9 — led by Strike rate (12.9 of it), then Longevity (8.1)
Dwayne Bravo
21.3 — led by Longevity (8.0 of it), then Average vs strong opposition (4.4)
Sikandar Raza
58.0 — led by Strike rate (18.7 of it), then Longevity (9.2)
Moeen Ali
37.6 — led by Strike rate (23.6 of it), then Longevity (4.6)
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: T20I Bowling
Shakib Al Hasan
73.7 — led by Economy (23.8 of it), then Bowling average (11.1)
Mohammad Hafeez
58.3 — led by Economy (25.2 of it), then Away bowling average (7.8)
Shahid Afridi
50.5 — led by Economy (24.9 of it), then Volume (7.7)
Mitchell Santner
57.9 — led by Economy (19.5 of it), then Volume (9.3)
Dwayne Bravo
33.7 — led by Economy (9.3 of it), then Volume (5.5)
Sikandar Raza
45.9 — led by Economy (20.9 of it), then Volume (7.9)
Moeen Ali
20.4 — led by Economy (6.5 of it), then Bowling average vs strong opposition (3.8)
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.

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.
Test Batting factors and weights

Compared with 1,218 batters who played at least 20 innings.

Test Bowling factors and weights

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

ODI Batting factors and weights

Compared with 867 batters who played at least 20 innings.

ODI Bowling factors and weights

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

T20I Batting factors and weights

Compared with 99 batters who played at least 60 innings and scored at least 1,000 runs.

T20I Bowling factors and weights

Compared with 100 bowlers who took at least 50 wickets.

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.

All-rounders: a player must clear both qualification bars. The batting and bowling verdicts are combined with a geometric mean, preventing one outstanding discipline from completely carrying a weak one.

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 + ODI + T20IGreatest Test, ODI & T20I All-rounders of All TimeTop 10