20.500.12556/RUL-177555 Quantifying player death impact in League of Legends League 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. esports analytics win probability player performance attribution League of Legends analitika e-športa verjetnost zmage pripisovanje uspešnosti igralcev League of Legends true false false Angleški jezik Slovenski jezik Neznano 2025-12-24 08:10:49 2025-12-24 08:10:51 2026-01-02 03:50:31 0000-00-00 00:00:00 2025 0 0 Str. 51-54 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.9 262492419 261672195 RAZ_Ferreira_Ruben_2025.pdf RAZ_Ferreira_Ruben_2025.pdf 1 B4ECB8990D726A8468395604574E9610 857330d530323d467a90c27782228b20af4f4267db686a146a4412ee0666340c 06dc1bb6-e099-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=224629 Fakulteta za računalništvo in informatiko 0 0 0