Jonas Makart - Model sport betting

I am writing to present a proposal for developing a predictive sports betting model, which will utilize historical data from the past four seasons. The goal of this model is to provide an accurate and reliable tool for predicting the outcomes of sports events and offering valuable insights for betting decisions.

Below, I outline the key specifications and functionalities we expect to include in the model:

1. **Win Probability in Percentage**: Using historical data from the past four seasons, the model should calculate and display the win probability of each team or player as a percentage. This probability will be based on historical performance analysis and other relevant factors.

2. **Casino Line Movement**: The model must incorporate information about the movement of betting lines from casinos. This will include tracking how the lines change over time and how these changes may influence probabilities and predictions.

3. **Data-Based Line Creation**: Based on historical data and trend analysis, the model should be able to generate its own betting line. This line will serve as a reference to compare with casino lines and identify potential betting opportunities.

4. **Previous Result Verification**: A crucial functionality will be the model's ability to verify and analyze the outcomes of previous predictions. This will allow us to assess the model's accuracy and highlight the most important data that influenced the predictions, helping to continuously improve its effectiveness.

I hope this proposal is of interest to you and that we can collaborate to bring this innovative project to fruition. I am available to discuss any additional details and answer your questions.