Tournamnet Predictive Indicators and Tournament Subgame Theory for Tekken 7
Abstract
Esports have been a growing market segment for recreation and competition. Few works of research examine the decisions that competitors need to make to maximize the probability of winning. Game theory Nash equilibriums are used to evaluate options available for players to select out of game decisions related to side selection, character selection, and stage selection. Backward induction techniques are used to solve these subgame decisions. The introduction of a rating system for players is derived from traditional sport statistics. The primary factor tracked in damage dealt and damage received using the same framework from sabermetrics was used to predict outcomes of baseball games. Conclusions demonstrated tracking damage can be used to predict the outcome of a match. Other techniques such as principal component analysis did not provide adequate data to measure individual metrics for the use of predictive application.
Degree
Ph.D.
Advisors
Newton, Purdue University.
Subject Area
Statistics|History|Recreation|Theoretical Mathematics
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