Vihaan Malhotra (RCB): Highest xImpact Among Zero-Data Players at 49
Vihaan Malhotra has no WAR/M or phase splits in the model, but his xImpact of 49 is the highest among RCB's zero-data players. That single metric, which estimates projected match impact based on available scouting inputs, suggests more upside than Chouhan (42), Deswal (no xImpact), Dar (no xImpact), or Ostwal (no xImpact).
What We Know
Malhotra is an Indian domestic batter. He does not bowl. Without ball-by-ball T20 data, the model cannot generate phase splits, matchup profiles, or WAR/M projections. The xImpact score is the only quantitative signal available.
For context, 49 sits in a similar range to established squad members like Venkatesh Iyer (50) and Krunal Pandya (51). That comparison should be treated cautiously. xImpact for data-backed players is calibrated by actual performance, while for zero-data players it relies on proxy signals.
Squad Context
RCB's batting depth includes seven optimal XII members plus Padikkal (0.12 WAR/M) as the first bench batter. Malhotra sits behind all of them. Among the zero-data players, his 49 xImpact gives him a slight edge in the pecking order over Chouhan, Deswal, and Dar.
Why He Misses the XI
No data. The model requires ball-by-ball records to generate reliable projections. The xImpact alone cannot justify selection over players with established WAR/M profiles and demonstrated IPL production.
Path to Selection
If Malhotra features in early-season matches and generates data, the model begins building WAR/M projections immediately. Strong early-season production could move him ahead of Padikkal in the bench pecking order. The 49 suggests the scouts see something.
What This Means for IPL 2026
Among RCB's development picks, Malhotra's 49 xImpact gives him the best baseline expectation. He is the zero-data player most likely to contribute if given opportunities. Until match data arrives, the statistical model cannot confirm or deny that potential.