Abstract
Purpose: The statistical data of baseball games is quite diverse and rich. Which indicators can be used to predict the outcome of a team game is of concern to the team management and fans. Therefore, the specific purpose of this research was to use the team's offensive and defensive data and competition systems factors to predict the outcome of individual teams' matches, and discuss the similarities and differences of these factors in predicting the outcome of the four teams. Method: Data retrieved from the 30-year regular season of Chinese professional baseball, it used 10 indicators in four categories, including defensive indicators, offensive indicators, competition systems, and team performance, to predict the outcome of individual teams. The statistical analysis methods used were multiple logistic regression analysis. Results: Among the 10 indicators, 4, 2 and 4 respectively can effectively predict the outcome of Lamigo Monkeys, CTBC Brothers and Fubon Guardians, but they failed in predicting the outcome of the Unilion. Conclusion: The offensive indicators and defense indicators that can effectively predict the outcome of the game appear on the basis of comparing the two teams, rather than on the data of all the teams. Some of these indicators were found across different teams, and some were unique to a particular team. Based on the findings above, several suggestions were also made for future research.