| dc.contributor.author | Maria Zafar, 01-134191-048 | |
| dc.contributor.author | Zikra Fiaz, 01-134191-070 | |
| dc.date.accessioned | 2023-03-03T05:57:56Z | |
| dc.date.available | 2023-03-03T05:57:56Z | |
| dc.date.issued | 2023 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/15053 | |
| dc.description | Supervised by Dr. Sabina Akhtar | en_US |
| dc.description.abstract | Football Analyzer and Predictor is a system which analyses previous matches and perform different operation on it using machine learning algorithms. Detailed analysis of each team is done. Second functionality of system is comparison of two teams. Previous records of these two teams will be compared like how team collectively played what was progress rate. How they played against each other and what was their strategies against other teams. This comparison will also show us total number of matches played by team selected, goals and number of matches won, loss and draws. Head to head comparison will be held. Prediction will be done through machine learning algorithms. Two types of prediction will be done by two methods. One through machine learning and second through bet system. People will bet through vote and the team having highest votes will be displayed as winning team. Forth functionality is ranking the teams. Ranking will be done through ELO ranking algorithm. Record will be shown through graphs. Graphs are best way to show result of such functionalities. Last and fifth functionality is news. Famous news channel reports and videos will be displayed on website with the help of APIs | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Computer Sciences | en_US |
| dc.relation.ispartofseries | BS (CS);P-1822 | |
| dc.subject | Football Analyzer | en_US |
| dc.subject | Predictor | en_US |
| dc.title | Football Analyzer and Predictor | en_US |
| dc.type | Project Reports | en_US |