Development of sequential winning-percentage prediction model for badminton competitions: applying the expert system sequential probability ratio test

This research yielded six sequential winning percentage prediction models capable of offering real-time predictions during matches in badminton competitions by leveraging EXSPRT. These models enhance spectator engagement and provide foundational data for developing similar prediction models for other sports. Future research should focus on developing a program to identify the most effective model among the six and implement it practically.

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Publication Details

Journal
BMC Sports Science Medicine and Rehabilitation
Published
2025-03-13
DOI
https://doi.org/10.1186/s13102-025-01078-6
Primary Topic
Sports Analytics and Performance
Type
article
Field-Weighted Citation Impact
0.00
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article

Development of sequential winning-percentage prediction model for badminton competitions: applying the expert system sequential probability ratio test

Eunhye Jo
BMC Sports Science Medicine and Rehabilitation
Sports Analytics and Performance
article

Development of sequential winning-percentage prediction model for badminton competitions: applying the expert system sequential probability ratio test

Eunhye Jo
article en

Abstract

This research yielded six sequential winning percentage prediction models capable of offering real-time predictions during matches in badminton competitions by leveraging EXSPRT. These models enhance spectator engagement and provide foundational data for developing similar prediction models for other sports. Future research should focus on developing a program to identify the most effective model among the six and implement it practically.

BMC Sports Science Medicine and RehabilitationVol. 17(1)
Korea National University of Education (KR)
Openalex Percentile: Top 93%
Sports Analytics and Performance
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