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IPL verdict list

Greatest IPL Bowlers of All Time

Lasith Malinga rises above Jasprit Bumrah, and the edge holds. Jasprit Bumrah keeps the better longevity in IPL bowling, 13.1 yrs · 158 matches to 10.1 yrs · 122 matches. Lasith Malinga's bowling strike rate in IPL bowling settles it, 16.63 to 19.42.

#1

Mumbai Indians · latest recorded team

Verdict91.5
Bowling average
19.79
Economy
7.14
Bowling strike rate
16.63
Wicket-taking consistency
42.62
Bowling average in wins
15.94
Volume
170 wickets
Longevity
10.1 yrs · 122 matches
#2

Mumbai Indians · latest recorded team

Verdict86.7
Bowling average
23.75
Economy
7.34
Bowling strike rate
19.42
Wicket-taking consistency
34.81
Bowling average in wins
17.58
Volume
187 wickets
Longevity
13.1 yrs · 158 matches
#3

Lucknow Super Giants · latest recorded team

Verdict83.5
Bowling average
23.82
Economy
7.38
Bowling strike rate
19.37
Wicket-taking consistency
28.40
Bowling average in wins
17.28
Volume
174 wickets
Longevity
16.0 yrs · 162 matches
#4

Gujarat Titans · latest recorded team

Verdict79.6
Bowling average
23.92
Economy
7.28
Bowling strike rate
19.72
Wicket-taking consistency
29.41
Bowling average in wins
20.59
Volume
179 wickets
Longevity
9.2 yrs · 153 matches
#5

Punjab Kings · latest recorded team

Verdict78.3
Bowling average
23.25
Economy
8.05
Bowling strike rate
17.33
Wicket-taking consistency
34.24
Bowling average in wins
20.26
Volume
233 wickets
Longevity
13.1 yrs · 189 matches
#6

Kolkata Knight Riders · latest recorded team

Verdict75.9
Bowling average
25.42
Economy
6.79
Bowling strike rate
22.47
Wicket-taking consistency
26.00
Bowling average in wins
22.06
Volume
207 wickets
Longevity
14.1 yrs · 201 matches
#7

Royal Challengers Bengaluru · latest recorded team

Verdict74.1
Bowling average
25.86
Economy
6.92
Bowling strike rate
22.43
Wicket-taking consistency
33.68
Bowling average in wins
17.11
Volume
97 wickets
Longevity
12.5 yrs · 95 matches
#8

Royal Challengers Bengaluru · latest recorded team

Verdict73.7
Bowling average
26.16
Economy
7.71
Bowling strike rate
20.35
Wicket-taking consistency
30.10
Bowling average in wins
21.55
Volume
226 wickets
Longevity
15.1 yrs · 206 matches
#9

Sunrisers Hyderabad · latest recorded team

Verdict72.4
Bowling average
23.54
Economy
7.85
Bowling strike rate
18.00
Wicket-taking consistency
32.95
Bowling average in wins
17.51
Volume
106 wickets
Longevity
9.0 yrs · 88 matches
#10

Gujarat Lions · latest recorded team

Verdict71.4
Bowling average
22.95
Economy
7.52
Bowling strike rate
18.31
Wicket-taking consistency
36.51
Bowling average in wins
20.18
Volume
74 wickets
Longevity
9.1 yrs · 63 matches
Where the verdict was won
Lasith Malinga
91.5 — led by Economy (30.0 of it), then Bowling average (20.0)
Jasprit Bumrah
86.7 — led by Economy (28.5 of it), then Bowling average (18.1)
Amit Mishra
83.5 — led by Economy (27.5 of it), then Bowling average (17.8)
Rashid Khan
79.6 — led by Economy (29.0 of it), then Bowling average (17.2)
Yuzvendra Chahal
78.3 — led by Bowling average (19.1 of it), then Economy (16.5)
Sunil Narine
75.9 — led by Economy (31.5 of it), then Bowling average (15.9)
Dale Steyn
74.1 — led by Economy (31.0 of it), then Bowling average (15.3)
Bhuvneshwar Kumar
73.7 — led by Economy (22.5 of it), then Bowling average (14.7)
Ashish Nehra
72.4 — led by Economy (20.0 of it), then Bowling average (18.4)
Munaf Patel
71.4 — led by Economy (25.5 of it), then Bowling average (19.4)
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 65 bowlers who played at least 60 innings, bowled at least 600 balls and 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.

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
IPLGreatest IPL Bowlers of All TimeTop 10