Prabhsimran Singh (PBKS): 182 Mid-Overs Pace SR Anchors the #3 Slot
Prabhsimran Singh bats at #3 and keeps wicket in the model's optimal XII for Punjab Kings. His projected WAR/M of 0.37 is the second-highest batting projection on the roster behind Shreyas Iyer, driven entirely by batting (WAR/M 0.36). With 1534 career balls faced and an IPL confidence of 0.81, the numbers carry real weight.
In IPL 2025, Singh scored 549 runs off 341 balls at 161 SR. His SRae of 11 means he struck 11 points above expected for the phases he batted in, adding 37 surplus runs above replacement. Those numbers make him one of PBKS' most reliable run-producers.
Role: #3 (Wicketkeeper)
The model profiles Singh as an Opener (#1) batter by skill, but team construction pushes him to #3. His position fit score of 1.42 reflects this compromise. The justification: elite vs pace in the middle overs (182 SR vs 137 avg, 111 balls), strong vs spin in the middle overs (148 SR vs 129 avg, 219 balls, 19% of role), and above avg vs pace in the powerplay (144 SR vs 134 avg, 591 balls, 31% of role).
His ball distribution shows opener tendencies: 66% in the powerplay, 31% in the middle overs, and 3% at the death. At #3, the model expects more middle-overs exposure than he has historically seen, particularly if an opener falls in the powerplay.
Phase-by-Phase Breakdown
| Phase | SR | vs Avg | Balls | Boundaries% | Dots% |
|---|---|---|---|---|---|
| PP (1-6) | 156 | +4 vs 152 | 699 | 24% | 40% |
| Mid (7-15) | 168 | +23 vs 145 | 330 | 25% | 26% |
| Death (16-20) | 121 | -38 vs 159 | 53 | 13% | 38% |
The middle overs are Singh's best phase. At 168 SR across 330 balls, he sits 23 points above the league average. Against pace in the middle, he reaches 182 SR across 111 balls. Against spin, 148 SR across 219 balls shows competence against the dominant bowling type in overs 7-15.
The powerplay numbers are functional. At 156 SR across 699 balls, he clears the league average by 4 points. Not explosive, but reliable. His 40% dot rate is manageable.
The death overs are a clear weakness. At 121 SR across 53 balls, he drops 38 points below the league average. The sample is small enough that this could improve, but for now it flags a vulnerability if Singh bats deep.
Matchup Profile
vs Pace: 144 PP SR (591b) / 182 Mid SR (111b) / 127 Death SR (41b)
vs Spin: 119 Mid SR (27b, IPL subset) / PP spin data insufficient
The pace matchup across middle overs is his defining strength. Spin data in the powerplay and death is too thin to draw conclusions.
The 182 middle-overs pace SR stands out because most batters at #3 face predominantly spin in overs 7-15. If pace bowlers are deployed against Singh in the middle, his numbers suggest he will punish them. Smart captains will hold their spin for him.
Style and Tendencies
In IPL 2025, Singh averaged 32 across 17 innings with 4 fifties and a high score of 91. His 74% boundary rate makes him an aggressive scorer who relies on finding the fence.
He shows an innings split: 178 SR batting first vs 141 SR chasing, a 37 point gap. Like his teammates, he performs better when setting totals. His dismissal pattern is notable: 100% caught dismissals (15/15).
Projection Model
The model projects Singh at 0.37 WAR/M, notably higher than his regressed 0.30 WAR/M. The positive trajectory component reflects improvement detected in his IPL 2025 season, where his SRae of 11 represented a step up from prior years. His IPL confidence of 0.81 means the model trusts the real data more than the prior, and the 1534 batting ball sample reduces the regression penalty.
His PVS of 0.72 at #3 confirms he is well-suited to the role despite being profiled as an opener. The model accounts for the dual-phase demands of the #3 position and sees Singh's middle-overs pace hitting as the skill that makes the role work.
Keeping Value
As wicketkeeper, Singh provides structural value beyond his batting numbers. If PBKS had to use an overseas keeper (like Josh Inglis in prior seasons), that would cost one of their 4 overseas slots. Singh's keeping frees that slot for a bowler or all-rounder, which is why the model's optimal XII can field four overseas specialists (Owen, Stoinis, Connolly, Jansen) in non-keeping roles.
What This Means for IPL 2026
The #3 slot is the most demanding position in T20 cricket. Singh must handle both powerplay situations if an opener falls early and middle-overs spin when the field spreads. His middle-overs pace numbers suggest he can handle the transition well. The death-overs weakness means PBKS need batters behind him (Iyer, Stoinis, Shashank Singh) to handle the finishing duties.
As wicketkeeper, he frees up an overseas slot that would otherwise go to a keeping option. His xImpact of 58 reflects steady, reliable value rather than match-winning fireworks. The batting-first SR gap (178 vs 141) suggests he should be unleashed when setting totals and managed carefully in chases.