Bharat Sharma is a domestic bowler with 2 SMAT seasons and a compelling economy number sitting on top of a very thin sample. He has bowled 144 balls, taken 7 wickets, and conceded at 6 runs per over. Those 24 overs of data represent the entirety of his T20 career.

The economy is attractive. It sits 3 runs below the IPL 2025 middle-overs benchmark of 9. His bowling strike rate of 21 balls per wicket is decent, suggesting he can contribute occasional wickets while containing. The combination is promising, but it is built on 24 overs.

His batting adds a minor data point: 34 runs off 40 balls at 85 SR across 3 innings. Tail-end batting, not a selection factor.

At 144 balls, the model cannot distinguish between a genuinely skilled bowler and one who happened to face weaker batting lineups in a small window. The low confidence tag reflects this honestly. A single bad match could shift these numbers substantially.

The projection: 0.17 WAR/M for 2026 with a rising trajectory. The rising flag is the most encouraging element. It means Sharma's second season was stronger than his first, suggesting improvement. But when the entire career is 2 seasons long, "rising" is a fragile signal.

Sharma sits alongside several SMAT bowlers who share the same profile: sub-7 economy, sub-200 ball sample, and a projection that is more guess than estimate. The model treats them similarly because it should. Until the data accumulates, these bowlers are statistically indistinguishable from one another.

For IPL purposes, Sharma is a name to monitor in the next SMAT cycle. Another 200+ balls at sub-6 economy would transform him from a watchlist entry into a genuine prospect. Without that, the 6 economy is a single data point dressed up as a career.

All numbers from SMAT (Syed Mushtaq Ali Trophy) and domestic T20 career data.