Building a sports betting model (in python) can be difficult work. It can take long hours of tediously entering data, sorting spreadsheets, setting up databases, testing, re-testing, and so on.
All this, with no promise that you will eventually find out the best model to predict. So, to create a good model, you have to answer these questions: where do you start when building a sports betting model? what are the key elements to developing a profitable betting model?
To handle this task, we need an effective betting model, which filters by date and probabilities. In addition, to prevent overfitting and errors, we try to catch all error and pin it to ignore them during the filtering process
Finally, you need to provide a very clear and understandable data output to and explanation about the football betting model.
The target outputs are:
1.) Full-time win/draw/lose (who wins)
2.) Over 2.5 (more than 2 goals)
3.) Win or draw (double chances)
4.) Over 1.5 (more than 1 goal)