SL Verma is a batter with 2 seasons of T20 data, dominated by T20I (87%) with a small SMAT slice (13%). He has zero IPL innings. The international-heavy data profile makes this projection unusual in the cohort, where most players are SMAT-only.

The SMAT sample is limited: 133 runs off 92 balls across 11 innings at a strike rate of 145. That SR sits right at the IPL middle-overs benchmark of 145. At face value, that is an encouraging number. The average of 13 is the red flag. It suggests he gets in and attacks immediately but does not survive long enough to convert starts into meaningful scores.

An average of 13 in 11 innings means his typical dismissal comes after roughly 9 balls. That is a cameo player, not an innings builder. At IPL level, cameo batters have a specific role (death-overs hitting, pinch hitting), but they need to produce extreme strike rates to justify the short stays. A 145 SR is not extreme enough for a cameo profile.

Verma also bowls part-time: 3 wickets off 30 balls at an economy of 6. That is a tiny sample, but the economy registers well. Five overs of bowling is not enough to draw real conclusions from.

The model projects 0.28 WAR/M for 2026, which is among the higher values in this cohort, though with low confidence. His current WAR/M of 0.77 is extremely elevated, and the projection applies heavy regression given the small sample and heavy T20I weighting. The rising trajectory is encouraging.

Verma is a high-variance prospect. If the average climbs toward 25 with more innings while the SR holds, he becomes a genuine IPL candidate with real upside. If the average stays around 13, the scoring rate is irrelevant because the innings are too short to matter. More SMAT innings will resolve this question quickly.

All numbers from SMAT and domestic T20 career data.