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New model analyzes League of Legends strategy using game theory

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new model, HASSE-QRE, to analyze strategic objective setups in professional League of Legends matches. This model treats game setups as an allocation problem on a map, using graph theory and game theory to predict tactical quality based on player positions and commitment. Analysis of professional games from MSI and the 2025 League of Legends World Championship revealed that trailing teams are significantly more likely to leave objectives unguarded. The HASSE-QRE model identifies six distinct setup patterns and suggests that teams prioritize factors like travel and player commitment over the objective itself. AI

IMPACT Provides a novel framework for analyzing complex strategic decision-making in competitive environments, potentially applicable beyond gaming.

RANK_REASON Academic paper detailing a new model and analysis of game strategy. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New model analyzes League of Legends strategy using game theory

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Academic paper detailing a new model and analysis of game strategy. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Zheng Gao, Zhenyu Liu, Yifan Yang, Xiaoyu Li ·

    Allocation Before the Clock: Graph, Set and Game Theory of Professional League of Legends Objective Setups

    arXiv:2610.33626v1 Announce Type: new Abstract: Before every neutral objective in professional League of Legends, each team decides which of its five players walk to the pit, which hold a lane, and when to commit. The leading analysis of such setups, TAGNet for Counter-Strike 2, …

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