Abhishek Goswami is a domestic batter with just 1 season and 5 matches of SMAT data. That makes him one of the thinnest profiles on our watchlist, and every number here carries enormous uncertainty.

The batting returns: 177 runs off 123 balls across 8 innings for a strike rate of 116. The average of 22 is functional. For context, the IPL 2025 middle-overs batting SR averaged 145. Goswami sits 29 points below that threshold on domestic pitches, which is a significant concern.

In modern T20 cricket, a batter needs to justify a sub-130 SR with exceptional consistency. Goswami's 22 average does not reach that bar. He does not score fast, and he does not bat long enough to compensate.

The raw WAR/M of 0.24 regresses to 0.17 after Marcel adjustment. With only 123 career balls, the model pulls heavily toward the population mean. That low confidence tag is doing real work here, indicating that the model is essentially guessing with a slight lean from observed data.

The projection for 2026 sits at 0.17 WAR/M. That falls below the 0.20 replacement-level line, meaning Goswami would need to significantly outperform his current numbers to enter IPL conversations. No phase splits or bowling data exist to add further dimension to his profile.

The one positive signal is that the model has him on a rising trajectory, implying his limited recent data trends upward. But "rising" from a 1 season baseline is a weak signal.

This is a pure watch-and-wait profile. An upcoming SMAT campaign with a SR above 140 across 15+ innings would change the picture. Until then, the data says monitor, not invest.

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