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IPL verdict list

Greatest IPL All-rounders of All Time

Andre Russell rises above Sunil Narine by a breath. Sunil Narine keeps the better economy in IPL bowling, 6.79 to 9.51. Andre Russell's bowling strike rate in IPL bowling settles it, 14.68 to 22.47.

#1

Kolkata Knight Riders · latest recorded team

Combined60.9
IPL Batting
65.5
IPL Bowling
56.7
#2

Kolkata Knight Riders · latest recorded team

Combined59.3
IPL Batting
46.4
IPL Bowling
75.9
#3

Chennai Super Kings · latest recorded team

Combined55.8
IPL Batting
65.4
IPL Bowling
47.6
#4

Rajasthan Royals · latest recorded team

Combined45.5
IPL Batting
40.9
IPL Bowling
50.6
#5

Chennai Super Kings · latest recorded team

Combined41.3
IPL Batting
24.9
IPL Bowling
68.5
#6

Delhi Capitals · latest recorded team

Combined39.0
IPL Batting
32.4
IPL Bowling
47.0
#7

Mumbai Indians · latest recorded team

Combined38.6
IPL Batting
61.8
IPL Bowling
24.1
#8

Royal Challengers Bengaluru · latest recorded team

Combined37.2
IPL Batting
32.4
IPL Bowling
42.6
#9

Mumbai Indians · latest recorded team

Combined30.3
IPL Batting
54.9
IPL Bowling
16.7
#10

Kolkata Knight Riders · latest recorded team

Combined26.1
IPL Batting
27.4
IPL Bowling
24.8
Where the verdict was won: IPL Batting
Andre Russell
65.5 — led by Strike rate (35.0 of it), then Longevity (6.9)
Sunil Narine
46.4 — led by Strike rate (33.8 of it), then Longevity (9.0)
Shane Watson
65.4 — led by Strike rate (21.3 of it), then Average in wins (11.4)
Ravindra Jadeja
40.9 — led by Strike rate (12.9 of it), then Longevity (9.8)
Dwayne Bravo
24.9 — led by Strike rate (11.3 of it), then Longevity (7.9)
Axar Patel
32.4 — led by Strike rate (15.7 of it), then Longevity (7.7)
Kieron Pollard
61.8 — led by Strike rate (28.2 of it), then Average in wins (9.0)
Krunal Pandya
32.4 — led by Strike rate (16.1 of it), then Longevity (6.4)
Hardik Pandya
54.9 — led by Strike rate (27.4 of it), then Longevity (6.8)
Jacques Kallis
27.4 — led by Average (7.4 of it), then Consistency (6.6)
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: IPL Bowling
Andre Russell
56.7 — led by Bowling average (18.8 of it), then Bowling strike rate (12.0)
Sunil Narine
75.9 — led by Economy (31.5 of it), then Bowling average (15.9)
Shane Watson
47.6 — led by Economy (18.5 of it), then Bowling average (7.8)
Ravindra Jadeja
50.6 — led by Economy (23.0 of it), then Longevity (10.0)
Dwayne Bravo
68.5 — led by Bowling average (17.5 of it), then Bowling strike rate (11.3)
Axar Patel
47.0 — led by Economy (26.5 of it), then Longevity (8.6)
Kieron Pollard
24.1 — led by Longevity (8.9 of it), then Economy (6.5)
Krunal Pandya
42.6 — led by Economy (25.0 of it), then Longevity (6.7)
Hardik Pandya
16.7 — led by Longevity (7.2 of it), then Bowling strike rate (4.1)
Jacques Kallis
24.8 — led by Economy (19.5 of it), then Longevity (1.6)
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.

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.
IPL Batting factors and weights

Compared with 88 batters who played at least 60 innings and scored at least 1,000 runs.

IPL 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.

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.

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 All-rounders of All TimeTop 10