Online Program Home
  My Program

All Times EDT

Abstract Details

Activity Number: 243 - Statistics in Sports and Beyond
Type: Contributed
Date/Time: Wednesday, August 11, 2021 : 10:00 AM to 11:50 AM
Sponsor: Section on Statistics in Sports
Abstract #317684
Title: Predicting the Outcome of Shotokan Karate Matches
Author(s): Ryan Savitz* and Olivia DiDonato
Companies: Neumann University and Neumann University
Keywords: logistic regression; sabermetrics; karate

This paper introduces a model that can be used to predict the outcome of Shotokan karate matches.  This model utilizes multiple karate related variables to determine the winner of a competition in Shotokan karate.  The model was constructed using logistic regression analysis and data from previous matches. The original model we constructed was refined into a more parsimonious model due to the existence of multicollinearity issues in the original model. The final model predicts the outcome of matches with 91.7% accuracy. We also utilize a subset of the variables involved in the previous analysis to construct a single statistic that may be used to capture the skill level of Shotokan karate participants.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2021 program