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1- Department of Sports Science, Korea National Sport University, Seoul, Korea
2- Department of Sports Science, Korea National Sport University, Seoul, Korea ,
Abstract:   (485 Views)
Background. There is a weakness that win-loss ranking model in the MLB now is simply calculated based on the result of win-loss game, so we assume that a ranking system considering the opponent's team performance is necessary. Objectives. The purpose of this study is to suggest PageRank algorithm to complement problem with ranking calculated with winning ratio in calculating team ranking of US MLB. Methods. PageRank figure is calculated by using the result of 4,861 matches in 2017 season (2,430 matches) and 2018 season (2,431 matches) in the MLB. Results. There’s a difference between ranking calculated in PageRank and ranking calculated with winning ratio both in 2017 season and 2018 season, and there’s a difference in performance per each district as a result of comparing performance per each league and district. In addition, as a result of calculating the predictive validity about PageRank and winning ratio ranking, it turns out that the ranking calculated with PageRank algorithm has relatively high predictive validity. Conclusion. This study confirmed the possibility of predictive in the US MLB by applying PageRank algorithm.
Keywords: PageRank, MLB, Baseball, Ranking
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  • PageRank algorithm has advantage of evaluating team and player’s performance more reasonably. In this study, MLB’s data is used and applied, but it is applicable in various kinds of sports such as football, basketball, tennis and others.
  • To apply it to many kinds of sports, it is required to confirm the validity of PageRank algorithm considering the features of each sports.

Type of Study: Original Article | Subject: Motor Control and its Related Branches
Received: 2021/01/19 | Accepted: 2021/01/12

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