A PageRank Algorithm for the Rankings of Korea Badminton Players

Jo, Eunhye; Jae-Hyeon,; Choi, Chang‐Hwan

doi:10.37727/jkdas.2018.20.1.373

Cited by 5 publications

(4 citation statements)

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“…Finally, in the sports field, various ranking methods are applied in consideration of the characteristics of each sport (6,11,15,18,19), and there is indeed a considerable interest in the selection of ranking methods. Among the ranking methods, PageRank has a disadvantage because it is difficult to calculate.…”

Section: Discussionmentioning

confidence: 99%

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Application of PageRank Model for Olympic Women�s Taekwondo Rankings: Comparison of PageRank and Accumulated Point Index System

Jeon²,

Seungtae³

et al. 2022

Ann Appl Sport Sci

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Background. Although the World Taekwondo federation currently applies the APIS ranking method to calculate the Olympic rankings, some limitations exist. Objectives. This study applies the PageRank model to Olympics Taekwondo rankings. Methods. The 2015-2018 World Taekwondo Grand Prix competition results for women's four weight classes (-49kg, -57kg, -67kg, +67kg) were used as research data, totaling 624 games. Excel and NetMiner programs were used to calculate the PageRank value, and the damping factor d was set to 0.15. Results.

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Section: Discussionmentioning

confidence: 99%

“…Currently, the Taekwondo Olympic ranking system is based on the competition organized by the World Taekwondo (WT) to give points differentially in consideration of the rankings and the size of the competition (G1, G2, G4, G8, G12, G20). The system calculates the ranking by summing the points given to each athlete by weight class (6).…”

Section: Introductionmentioning

confidence: 99%

Application of PageRank Model for Olympic Women�s Taekwondo Rankings: Comparison of PageRank and Accumulated Point Index System

Jeon²,

Seungtae³

et al. 2022

Ann Appl Sport Sci

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show abstract

“…1 into Eq. (2,3), where the value of K is the weighted difference between the actual performance and the expected level. Score of A and B are updated according to Eq.…”

Section: Application Of Basic Elo Algorithm In Badminton Player Rankingmentioning

confidence: 99%

“…A flexible and effective ranking system not only requires a large amount of accurate data to support it, but also requires relatively reliable ranking methods. There are many ranking methods have been extensively studied, such as Colley Ranking [2], Page Rank [3], and ELO model [4], and others [5][6][7]. Among them, the ELO scoring system is one of the most commonly used methods to evaluate the capabilities of competitors [8].…”

Section: Introductionmentioning

confidence: 99%

Badminton player ranking model based on dynamic ELO model

Yang,

Kai

2024

Preprint

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In this paper, the ELO scoring method is applied to rank the badminton players. By analyzing the ranking results, we find that the basic ELO model can only see the rank of the players at the top level, while other players are unable due to the reason that they have the same ELO score. Because the basic ELO model only considers the result of the competition, without taking into account the past performance of players, physical condition , and other factors, it cannot fully reflect the true level. Therefore, improving the basic model is necessary. Firstly, the initial score is rese-lected based on the past performance of players. Then, different weights are assigned to each stage of the competition, and a streak mechanism is introduced to establish a more comprehensive dynamic system. In particular , for players who are unable to participate in the competition due to unexpected factors, we also establish different scoring methods. Finally , a new badminton player ranking is obtained based on the improved model. In the final, the classical Goodman−Kruskal correlation coefficient in statistics is selected for numerical analysis, and the comparison results are highly consistent. In particular, we can measure the winning rate of different players through the model, which can also help us better predict the performance of players in the game.

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Proposal for implementation of a ranking model for Olympic Taekwondo competitions using PageRank

Kim

Jeon

2019

International Journal of Performance Analysis in Sport

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A PageRank Algorithm for the Rankings of Korea Badminton Players

Cited by 5 publications

References 0 publications

Application of PageRank Model for Olympic Women�s Taekwondo Rankings: Comparison of PageRank and Accumulated Point Index System

Application of PageRank Model for Olympic Women�s Taekwondo Rankings: Comparison of PageRank and Accumulated Point Index System

Badminton player ranking model based on dynamic ELO model

Proposal for implementation of a ranking model for Olympic Taekwondo competitions using PageRank

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