This study coauthored by V. Kotrba examines the validity of the HLTV esports ranking system used for ranking teams in Counter-Strike: Global Offensive (CS:GO). Results indicate that the HLTV ranking system effectively predicts CS:GO match outcomes, showing a reasonable level of explanatory power. Notably, as CS:GO rankings decrease, the study reveals a diminishing difference in abilities between consecutively ranked players, forming a pyramid-like structure. This suggests that spectators, sponsors, and bettors can rely on the HLTV ranking system for informed decision-making, enhancing their overall experience during tournaments.
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