NORMA eResearch @NCI Library

Prediction of Major Factors affecting Fans Attendance for the Teams of Major League Baseball

Gupta, Rahul (2019) Prediction of Major Factors affecting Fans Attendance for the Teams of Major League Baseball. Masters thesis, Dublin, National College of Ireland.

[thumbnail of Master of Science]
PDF (Master of Science)
Download (1MB) | Preview
[thumbnail of Configuration manual]
PDF (Configuration manual)
Download (824kB) | Preview


Fans attendance has evolved to be a major factor in Major League Baseball. The early knowledge of how many fans will watch the match in stadium could aide team owners and managers to make promotions effectively. Fans engagement has evolved over the past decades. This development calls for an approach which capitalizes the engagement of sports fans deliberately and economically. An extensive literature review was conducted regarding the area of fans attendance in Major League Baseball, and several valid conclusions were drawn from them. This research was carried out to investigate the contribution of game statistics on the fans attendance figures in their Major League Baseball games, using and statistical techniques and machine learning algorithms. The study analysed the results from Multiple Linear Regression (MLR), Random Forest Regression, Support Vector Regression (SVR), and Artificial Neural Networks (ANN). All the results were evaluated using 4 performance metrics. Random Forest Regression model produced the best results with RMSE of 0.02, MAD of 0.09 and MAPE of 2%. The model explained that different game factors affect the teams in a different way. It was also concluded that the fans attendance depends highly on in-game statistics, for the old franchises than for the new ones.
Keywords: Major League Baseball, machine learning, attendance, team performance

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software
G Geography. Anthropology. Recreation > GV Recreation Leisure > Sports
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Dan English
Date Deposited: 11 Jun 2020 13:14
Last Modified: 11 Jun 2020 13:14

Actions (login required)

View Item View Item