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ODI verdict list

Best ODI Bowlers of the 2020s

Abrar Ahmed rises above Trent Boult by a breath. Trent Boult keeps the better volume in ODI bowling, 47 wickets to 35 wickets. Abrar Ahmed's economy in ODI bowling settles it, 4.33 to 4.79.

#1

Pakistan

Verdict88.7
Bowling average
21.51
Economy
4.33
Bowling strike rate
29.83
Away bowling average
20.64
Bowling average vs strong opposition
22.86
Wicket-taking consistency
21.05
Bowling average in wins
16.88
Volume
35 wickets
#2

New Zealand

Verdict88.5
Bowling average
22.02
Economy
4.79
Bowling strike rate
27.57
Away bowling average
18.80
Bowling average vs strong opposition
23.92
Wicket-taking consistency
37.50
Bowling average in wins
20.76
Volume
47 wickets
Verdict83.2
Bowling average
21.27
Economy
5.06
Bowling strike rate
25.24
Away bowling average
33.67
Bowling average vs strong opposition
22.82
Wicket-taking consistency
31.58
Bowling average in wins
16.07
Volume
37 wickets
#4

West Indies

Verdict81.6
Bowling average
25.33
Economy
5.11
Bowling strike rate
29.74
Away bowling average
23.18
Bowling average vs strong opposition
24.59
Wicket-taking consistency
20.31
Bowling average in wins
21.62
Volume
111 wickets
#5

New Zealand

Verdict81.6
Bowling average
23.26
Economy
4.98
Bowling strike rate
28.04
Away bowling average
28.00
Bowling average vs strong opposition
30.68
Wicket-taking consistency
32.56
Bowling average in wins
21.60
Volume
80 wickets
#6

Bangladesh

Verdict81.0
Bowling average
25.20
Economy
5.29
Bowling strike rate
28.56
Away bowling average
27.14
Bowling average vs strong opposition
24.70
Wicket-taking consistency
20.93
Bowling average in wins
17.49
Volume
71 wickets
#7
Verdict80.6
Bowling average
25.50
Economy
5.27
Bowling strike rate
29.05
Away bowling average
24.88
Bowling average vs strong opposition
24.61
Wicket-taking consistency
33.33
Bowling average in wins
15.79
Volume
44 wickets
#8

Afghanistan

Verdict80.4
Bowling average
25.62
Economy
4.41
Bowling strike rate
34.84
Away bowling average
19.61
Bowling average vs strong opposition
30.46
Wicket-taking consistency
19.35
Bowling average in wins
20.13
Volume
50 wickets
Verdict79.9
Bowling average
26.67
Economy
4.54
Bowling strike rate
35.22
Away bowling average
31.47
Bowling average vs strong opposition
26.13
Wicket-taking consistency
22.81
Bowling average in wins
19.87
Volume
81 wickets
#10
Verdict79.9
Bowling average
22.63
Economy
5.18
Bowling strike rate
26.23
Away bowling average
24.33
Bowling average vs strong opposition
32.68
Wicket-taking consistency
25.93
Bowling average in wins
14.64
Volume
48 wickets
Where the verdict was won
Abrar Ahmed
88.7 — led by Bowling average (19.8 of it), then Economy (19.6)
Trent Boult
88.5 — led by Bowling average (19.6 of it), then Economy (16.9)
Jeffrey Vandersay
83.2 — led by Bowling average (20.0 of it), then Bowling average vs strong opposition (14.4)
Alzarri Joseph
81.6 — led by Bowling average (17.8 of it), then Bowling average vs strong opposition (13.9)
Matt Henry
81.6 — led by Bowling average (18.9 of it), then Economy (15.1)
Shoriful Islam
81.0 — led by Bowling average (18.2 of it), then Bowling average vs strong opposition (13.6)
Jofra Archer
80.6 — led by Bowling average (17.6 of it), then Bowling average vs strong opposition (13.7)
Rashid Khan
80.4 — led by Economy (19.3 of it), then Bowling average (17.5)
Maheesh Theekshana
79.9 — led by Economy (19.1 of it), then Bowling average (16.2)
David Willey
79.9 — led by Bowling average (19.3 of it), then Economy (12.4)
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 111 bowlers who played at least 10 innings and bowled at least 750 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.

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
ODIBest ODI Bowlers of the 2020sTop 10