How WhatIsMyTip uses AI to help you make better footy tips.
WhatIsMyTip combines multiple machine learning and financial models with heuristic strategies to generate footy tips. Our system analyzes historical data, team form, home advantage, and value opportunities to provide informed predictions.
We use OpenRouter's gptoss-120b model to generate human-readable explanations for each tip, helping you understand the reasoning behind our predictions.
A rating system that tracks team strength based on historical performance. Teams gain points for winning and lose points for losing, with the amount adjusted based on the opponent's strength.
Analyzes recent team performance over the last few games to identify current momentum. This model looks at recent wins, losses, and scoring margins to determine which team is currently playing better.
A simple but effective model that leverages the historical tendency for home teams to win more often. It analyzes venue-specific win rates to predict outcomes based on where the game is played.
Identifies undervalued teams by comparing historical win rates against perceived odds. This model looks for teams that perform better than their reputation suggests, finding value opportunities.
Conservative, consensus-based picks with high confidence. This heuristic aggregates predictions from all models and selects the most confident consensus pick.
Aggressive picks based on the highest confidence model prediction. This heuristic goes all-in on the model with the strongest conviction.
Targets upset opportunities when models disagree. This heuristic identifies games with high variance and picks the underdog for potentially higher returns.
All match data is sourced from Squiggle, an excellent resource for AFL statistics and historical data. We're grateful for their public API which makes this project possible.
WhatIsMyTip is an open source project. The code is available on GitHub and we welcome contributions from the community.