MLC 2025 - Players
Most Valuable Players of the Series (Only T20s)Total Impact for a player in a match is a numerical value which is the sum of his Batting and Bowling Impacts. These Impacts are calculated based on the context of a batting/bowling performance.
Player | Team | Total Impact | Impact/Mat | Matches | Runs | Wkts |
---|---|---|---|---|---|---|
WSF | 603 | 100.5 | 6 | 288 | 9 | |
WSF | 393.1 | 65.5 | 6 | 227 | 3 | |
SF | 378.6 | 75.7 | 5 | 298 | - | |
SF | 375.1 | 125 | 3 | 204 | 3 | |
SF | 330.4 | 55 | 6 | 34 | 16 | |
MI NY | 259.3 | 51.8 | 5 | 267 | - | |
WSF | 256.4 | 42.7 | 6 | 77 | 8 | |
TSK | 250 | 62.5 | 4 | 0 | 9 | |
SF | 244 | 40.6 | 6 | 62 | 10 | |
SF | 233.6 | 38.9 | 6 | 230 | - | |
SF | 228 | 38 | 6 | 129 | 6 | |
MI NY | 227.7 | 45.5 | 5 | 147 | 4 | |
LAKR | 214.5 | 35.7 | 6 | 53 | 9 | |
WSF | 206.1 | 34.3 | 6 | 6 | 9 | |
MI NY | 198.3 | 39.6 | 5 | 2 | 8 | |
LAKR | 188.4 | 31.4 | 6 | 232 | - | |
TSK | 187.6 | 31.2 | 6 | 214 | - | |
WSF | 186 | 31 | 6 | 133 | 1 | |
MI NY | 178.6 | 35.7 | 5 | 21 | 5 | |
MI NY | 176.7 | 35.3 | 5 | 210 | - | |
MI NY | 165.4 | 33 | 5 | 8 | 4 | |
MI NY | 163.2 | 32.6 | 5 | 131 | 2 | |
SEO | 161.9 | 32.3 | 5 | 1 | 7 | |
TSK | 158.5 | 31.7 | 5 | 135 | - | |
TSK | 158.1 | 26.3 | 6 | 6 | 10 | |
SF | 155 | 77.5 | 2 | 58 | 4 | |
LAKR | 149.9 | 24.9 | 6 | 37 | 8 | |
WSF | 141 | 23.5 | 6 | 9 | 3 | |
LAKR | 123.1 | 24.6 | 5 | 2 | 7 | |
WSF | 119.4 | 19.9 | 6 | 155 | - | |
TSK | 119.1 | 23.8 | 5 | 0 | 5 | |
LAKR | 110.5 | 18.4 | 6 | 122 | - | |
TSK | 108.5 | 27.1 | 4 | 84 | 1 | |
SEO | 100.6 | 20.1 | 5 | 129 | 1 | |
TSK | 99.6 | 16.6 | 6 | 119 | - | |
SEO | 97.2 | 32.4 | 3 | 109 | - | |
LAKR | 97.1 | 24.2 | 4 | 60 | 3 | |
TSK | 95.8 | 23.9 | 4 | 61 | 2 | |
TSK | 95.4 | 23.8 | 4 | 135 | - | |
SEO | 91.8 | 18.3 | 5 | 105 | - | |
LAKR | 90.1 | 22.5 | 4 | 27 | 1 | |
SEO | 86.1 | 21.5 | 4 | 17 | 3 | |
SEO | 83.4 | 27.8 | 3 | 70 | - | |
SEO | 80.9 | 16.1 | 5 | 26 | 3 | |
SF | 78.8 | 19.7 | 4 | 0 | 4 | |
LAKR | 77.4 | 25.8 | 3 | 125 | - | |
MI NY | 73.3 | 24.4 | 3 | 0 | 3 | |
LAKR | 72.9 | 18.2 | 4 | 16 | 4 | |
TSK | 70.7 | 11.7 | 6 | 98 | - | |
SEO | 68.3 | 17 | 4 | 35 | 3 | |
SEO | 67.6 | 33.8 | 2 | 8 | 3 | |
TSK | 67 | 22.3 | 3 | 68 | - | |
TSK | 59.3 | 19.7 | 3 | 0 | 3 | |
SF | 59 | 19.6 | 3 | 0 | 2 | |
LAKR | 53.4 | 26.7 | 2 | 13 | 3 | |
SF | 50.9 | 8.4 | 6 | 89 | - | |
TSK | 49.5 | 49.5 | 1 | 5 | 2 | |
TSK | 49.3 | 24.6 | 2 | 62 | - | |
TSK | 42.3 | 10.5 | 4 | 79 | 2 | |
SF | 41.7 | 10.4 | 4 | 2 | 1 | |
SF | 40.7 | 8.1 | 5 | 82 | - | |
WSF | 40.5 | 20.2 | 2 | 62 | - | |
LAKR | 40.2 | 13.4 | 3 | 53 | - | |
SEO | 36.9 | 9.2 | 4 | 83 | - | |
TSK | 35.8 | 35.8 | 1 | 0 | 2 | |
SEO | 34.8 | 6.9 | 5 | 55 | - | |
SEO | 31.6 | 15.8 | 2 | 0 | 3 | |
TSK | 28.5 | 14.2 | 2 | 5 | 2 | |
LAKR | 28.2 | 7 | 4 | 66 | - | |
WSF | 27.2 | 27.2 | 1 | 15 | - | |
SEO | 26.6 | 6.6 | 4 | 4 | 3 | |
WSF | 17.4 | 2.9 | 6 | 45 | - | |
MI NY | 15.3 | 15.3 | 1 | 0 | 1 | |
SF | 14.3 | 14.3 | 1 | 0 | - | |
WSF | 11.1 | 2.7 | 4 | 48 | - | |
LAKR | 10.8 | 2.7 | 4 | 26 | - | |
SEO | 6.7 | 3.3 | 2 | 20 | - | |
WSF | 4.7 | 1.5 | 3 | 1 | 1 | |
WSF | 3.9 | 3.9 | 1 | 0 | - | |
LAKR | 0.6 | 0.1 | 5 | 37 | - | |
SEO | 0.1 | 0 | 2 | 20 | - | |
SF | 0 | 0 | 2 | 0 | - | |
LAKR | -1.3 | -0.4 | 4 | 20 | - | |
MI NY | -2.7 | -1.4 | 2 | 13 | - | |
WSF | -4.4 | -4.4 | 1 | 0 | 1 | |
SF | -6.1 | -2.1 | 3 | 33 | - | |
MI NY | -7 | -2.4 | 3 | 5 | - | |
WSF | -7.3 | -1.5 | 5 | 9 | - | |
MI NY | -7.6 | -7.6 | 1 | 0 | 1 | |
WSF | -8.2 | -8.2 | 1 | 0 | - | |
MI NY | -8.9 | -1.8 | 5 | 20 | - | |
SF | -13.3 | -13.3 | 1 | 6 | - | |
MI NY | -15.8 | -3.2 | 5 | 66 | - | |
SF | -24.6 | -8.2 | 3 | 12 | - |
Developed in partnership with IITM CESSA
Top Wicket Takers
16
Innings: 6Average: 13.18
10
Innings: 6Average: 19.60
10
Innings: 6Average: 19.70
Top Run Scorers
298
Innings: 5Average: 59.60
288
Innings: 6Average: 48.00
267
Innings: 5Average: 53.40
Tournament Fan Ratings
Instant answers to T20 questions