Shardul Thakur generates just 0.11 WAR per match, the lowest figure among Mumbai Indians' optimal XII selections. His xImpact of 24 is the squad's floor. Yet our model selects him anyway, because MI's domestic pace depth demands it.

Why He Makes the XII

Mumbai Indians run 4 overseas players in their optimal XI: Rickelton, Jacks, Boult, and Bosch. That leaves every remaining bowling slot for Indian seamers. Bumrah and Chahar take 8 of the 20 overs. Hardik Pandya contributes 1 over at the death. Thakur fills the remaining 3 middle-overs gap as the fourth Indian seamer.

His bowling role fit of 0.39 is the lowest among MI's bowling selections. The model assigns him a middle-overs role (3 overs between 7-15) because his numbers are least damaging there, not because they are good. His new ball fit (-0.09) is actively harmful, and his death fit (0.20) is barely functional.

The Numbers

The bowling profile is concerning across the board. His career economy of 10.5 runs per over sits 1.7 runs above the 8.8 league average. His Ecae of -0.94 means he leaks almost a full run per over more than a replacement bowler would in the same phases.

Middle overs (7-15): His assigned phase. A 29 dot ball rate in the middle overs trails the 33% average. His middle-overs boundary rate and overall boundary rate of 24% both exceed the 19% benchmark. Batters attack him, and they connect.

His 3215 career balls bowled provide certainty. This is not a small sample anomaly. Thakur is a below-average T20 bowler by the numbers, and his IPL confidence of 0.76 confirms the model trusts this assessment.

What He Does Offer

Thakur's batting provides marginal lower-order value: 0.02 batting WAR per match across 157 career batting balls. He can hold a bat. He occasionally hits a useful cameo. But the batting alone does not justify selection.

His experience provides intangible value the model cannot capture. Across 156 T20 matches, Thakur has bowled in high-pressure situations for India, CSK, DC, and KKR. He understands field placements, reads batting intent, and varies his pace. Those skills do not show up in economy rate, but they may explain why captains continue to trust him despite numbers that suggest they should not.

His PP share of just 6% confirms he is not a new ball option. His death share of 56% reflects historical usage that the model wisely avoids repeating. Thakur at the death is where his economy balloons. The middle-overs assignment protects him from his worst phase.

The real value is structural. MI need an Indian seam option who can absorb middle overs when Bumrah bowls at the death and Chahar operates with the new ball. Thakur is the available option. His projected 0.14 WAR per match for 2026 suggests the model expects marginal improvement, likely driven by regression toward the mean rather than genuine skill development.

The Alternative

If MI wanted to replace Thakur, the most viable option is restructuring their bowling to give Jacks or Pandya more overs in the middle phase. But that trades bowling weakness for batting depth reduction. The model calculates that Thakur's 3 mediocre middle overs still produce more expected wins than the alternative configurations.

That is a thin margin. Thakur enters IPL 2026 as the player most likely to lose his spot if any MI bowler outperforms expectations in the early rounds.

The Ankolekar Question

The direct threat to Thakur's spot is Atharva Ankolekar, MI's young left-arm spinner. Ankolekar's 5.8 career economy dwarfs Thakur's 10.5. But replacing Thakur with Ankolekar means trading 3 overs of pace for 3 overs of spin, fundamentally altering MI's bowling balance. The model currently values that pace-spin balance more than the raw economy improvement.

If Thakur concedes at his career rate through the first 5 matches, that calculation could flip. His bowling surplus of -32 runs below replacement across a season quantifies the damage: over 14 group stage matches, Thakur is projected to cost MI roughly 32 runs compared to a league-average bowler in the same phases.