ANLY482 AY2016-17 T1 Group2: Project Overview
At Singapore Pools, the demands of sports matches are anticipated through experience and gut feeling of its Sports Division staffs, which human resources (telephone betting staffs) are then allocated based on the turnout or demand of individual soccer match. Such an approach can prove to be erratic at times, as humans can be very prone to errors and/or other factors, which will negatively impact their decision making capabilities. Any errors or failures in making the right decision can also prove to be costly for Singapore Pools, as they will not be able cope with the demands and these customers will potentially resort to illegal counterparts to place their bets.
We aim to build a Sports Event Demand Prediction Model, where Singapore Pools will be able to predict demand for individual sports matches from different leagues based on historic data.
The Sports Event Demand Prediction should ultimately allow Singapore Pools to achieve the following:
- More accurate budgeting for the Sports Division
- Improvements in resources allocation depending on various match parameters, such as kick off time, day, league and influence of the soccer team
Singapore Pools is also keen and hopeful of using the Sports Event Demand Prediction Model as a foundation for future sports-related prediction models.
