Soccer result predition through data mining using predictive analytics | |
| Author | Ankith, Dasu |
| Call Number | AIT RSPR no.IM-17-01 |
| Subject(s) | Data mining--Computer programs Machine learning--Mathematical models |
| Note | A research submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information Management, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. IM-17-01 |
| Abstract | Data mining techniques have proven to be most efficient in predicting the soccer scores.The overall aim of this research study is to take sports training and match data and extract relationships between these using data mining and machine learning techniques.Predicting the outcome of sporting events is a business which has grown in popularity in recent years. Recent times have changed the way sports are predicted. Predictions now typically consist of two distinct approaches: Situational plays and statistical based models.In this research probabilistic analysis of the streaks of match outcomes is used. At the end of this research, the winning or losing probability of a team can be predicted. For doing so we will be needing the performance of the team i.e. the win/loss streak in its recent 3 matches and the rankings of the two teams playing the match whos result is to be predicted.Theteam’s Home field advantage is another facto rwhich was considered to increase the accuracy of the model. |
| Year | 2017 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. IM-17-01 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information Management (IM) |
| Chairperson(s) | Guha, Sumanta; |
| Examination Committee(s) | Chutiporn Anutariya;Phan Minh Dung; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship; |
| Degree | Research studies project report (M. Eng.) - Asian Institute of Technology, 2017 |