Quantifying player death impact in League of LegendsFerreira, Ruben (Avtor) Faganeli Pucer, Jana (Avtor) esports analyticswin probabilityplayer performance attributionLeague of LegendsLeague of Legends is one of the world’s most played and watched e-sports. We study how the death of an individual player affects team win probability. From Diamond-tier matches, we construct minute-level snapshots to train a calibrated win-probability model. We formalize a death window based on the state just before death until the first state after the respawn. We attribute the team-level win-probability change to players via a role/time standardized Performance Score weighted by SHAP feature scores. Results across 150,472 death windows show, the team of the deceased player loses on average 2.03% of win probability; probability decreases in 58% of death windows and increases in 42%. The approach enables fast identification of impactful deaths and targeted learning opportunities.20252025-12-24 08:10:49Neznano177555sl