Status : Verified
| Personal Name | Yagaya, Elwynn Mark O. |
|---|---|
| Resource Title | Identifying key factors for winning basketball games using data analytics |
| Date Issued | October 2020 |
| Abstract | The game of basketball is deeply engrained in the mind and the hearts of Filipinos. Being considered as the most popular sport in the country, it is important to analyze the performance of teams that are playing in order to identify the significant factors in winning games. However, present studies do not accurately define the significant factors to win basketball games that are suitable for the Philippine Setting. Most of the published studies use historical box score data to model the results of basketball games. These data include points scored, rebounds, assists, blocks, steals, turnovers, and other statistics that can be obtained from the games. This thesis presents an analysis methodology considering the effects of factors that are unique in the Philippine setting such as the presence of imports or foreign players and the financial capacity of the company handling the team. This thesis will also consider the effect of measures that may not be unique in the Philippines but were not considered by previous studies such as the number of superstars in a team, starters’ scoring, bench scoring, guards’ scoring, centers and forwards’ scoring, guards’ assist, center and forwards’ rebounds, years of experience of the coach, and the nationality of the coach. The methodology obtained the data from the Philippine Basketball Association from its 2012-2013 to 2017-2018 season. The data were analyzed to identify the significant factors in winning basketball games in the Philippine setting. |
| Degree Course | Master of Science in Industrial Engineering |
| Language | English |
| Keyword | data science; logistic regression; basketball; Philippine Basketball Association |
| Material Type | Thesis/Dissertation |
Preliminary Pages
228.68 Kb
Category : F - Regular work, i.e., it has no patentable invention or creation, the author does not wish for personal publication, there is no confidential information.
Access Permission : Open Access