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

ABSTRACT:

Background

This study developed a sequential winning-percentage prediction model for badminton competitions using the expert system sequential probability ratio test (EXSPRT), aiming to calculate the difficulty of each event within a match and establish the initial prior probability.

Methods

We utilized data from 100 men's singles matches (222 games) held by the Badminton World Federation (BWF) in 2018 to evaluate event difficulty across six models for each determining factor. For setting the initial prior probability calculation method, 30 men's singles matches (74 games) organized by the BWF in 2019 were randomly selected. The odds for these matches were obtained from www.oddsportal.com .

Results

The efficacy of the six models was assessed based on application rates

SUBMITTER: Jo E 

PROVIDER: S-EPMC11905516 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature