{{chart:playercard-Rasikh Dar}}

Rasikh Dar has no WAR/M, no phase splits, no matchup data, and no xImpact score in the model. The dataset contains zero ball-by-ball records for his T20 career. He is listed as a batter on the roster, though his background suggests pace bowling capabilities.

What We Know

Dar is an Indian domestic player. He does not appear in any tier of RCB's squad optimization. Without performance data, the model cannot generate projections or assign him a role. No economy rate, no strike rate, no dot ball percentage. The statistical profile is entirely blank.

Squad Context

RCB's pace bowling depth runs five deep before reaching Dar: Hazlewood (0.41), Bhuvneshwar (0.35), Abhinandan (0.19), Dayal (0.28), and Mangesh Yadav (partial data). Even among the overseas pace reserves, Duffy and Thushara (both 0.12 regressed WAR/M) sit ahead.

Why He Misses the XI

No data. The model requires ball-by-ball records to generate WAR/M, phase splits, and role assignments. Without those inputs, Dar cannot be evaluated against players with established statistical profiles. Even players with small samples (Abhinandan at 164 T20 balls) provide enough data for the model to work with.

Path to Selection

Dar would need the unavailability of five or more pace bowlers to enter the XI. The more realistic path is generating data through match appearances in low-stakes situations, which would allow the model to begin projecting his value for future seasons.

What This Means for IPL 2026

Dar is a squad filler whose selection depends entirely on non-statistical factors: match-day assessments, training form, and coaching judgment that fall outside the model's scope. If he plays and generates data, the model will incorporate it.