K. Gakis, P. Pardalos, Chang-Hwan Choi, Jae-Hyeon Park, Jiwun Yoon
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Simulation of a Probabilistic Model for Multi-Contestant Races
Predictions of sports games have been recognized as an important area of study for its economic significance. The majority of models for such games cover two-player games and the resulting championships or study individual players or teams and their resulting comparative position. However, many sports involve race-type multicontestant games, which are more complex in modeling. In this paper we outline the difficulties associated with the study of such races