u/Diego_Lemos

I have developed a Logistic Regression model to predict basketball game outcomes. I have been using it in a live environment for the past 3 months and currently have a 10.5% ROI.

I want to move beyond just looking at the profit and evaluate the model's technical performance and calibration more deeply. My current dataset includes the following columns for every game played this season since I started:

• Date (of the game)
• Execution (time when i ran the model)
• Home Team
• Away Team
• Home Odds
• Model Home Probability
• Home Expected Value (%)
• Home Stake (%)
• Away Odds
• Model Away Probability
• Away Expected Value (%)
• Away Stake (%)
• Decision ( e.g., Home, Away, or No Bet)
• Bet Amount
• Potential Gain (in %)
• Result

What can i do with this data?

Hi everyone, I’ve been playing saxophone for about a year and a half now and I want to start improvising and composing. Does anyone have any advice or a roadmap on how to get started? Cheers!