Hello! This site came about because my wife and I love Formula 1 and enjoy playing the F1 fantasy game with our family and friends. We’ve won our league every year we’ve played, not sure if that means the people we play with are bad or we are good 
Using a few different AI tools, I developed a learning model that analyzes the factors we both look at each week to determine the drivers and constructors for our team.
What factors influence your learning model to determine the driver and constructor suggestions?
- Race results from the previous 2 years
- Practice 1 and Practice 2 of current race (Why not P3? see below)
- Weather including temperature and rain
- Track overtake difficulty level
- Likelihood of a safety car
- Podium finishes of current season
Why don’t you include Practice 3?
Often times, the window of time between P3 and Qualifying is too small to calculate and post suggestions.
How exactly does your model work?
Sorry, I am not sharing the details. But I can tell you it is using the Analytic Hierarchy Process (AHP)
Can I chat with the developer?
You betcha! You can connect with Dave (WhiteFudge) on Discord https://discord.gg/rVrVwyp7Uw
How can I support your work?
How kind of you to ask! You can support my work here https://buymeacoffee.com/f1fantasy