Saw your pyfpl wrapper. Solid work.
I built something similar but for betting markets rather than fantasy, measuring how teams actually move the ball through defensive lines. The FPL API gives you surface stats; this goes deeper into positional threat creation before the shot even happens.
Currently running 77% on high-conviction football picks by identifying where market lines diverge from structural metrics.
I have a pricing layer that front-runs standard oracle lag. If Stake's looking at European football edges, I'll send you a sample audit.
Fellow Python dev who spends too much time on football data.
Rodney
hello@rsrodai.org
Saw your pyfpl wrapper. Solid work.
I built something similar but for betting markets rather than fantasy, measuring how teams actually move the ball through defensive lines. The FPL API gives you surface stats; this goes deeper into positional threat creation before the shot even happens.
Currently running 77% on high-conviction football picks by identifying where market lines diverge from structural metrics.
I have a pricing layer that front-runs standard oracle lag. If Stake's looking at European football edges, I'll send you a sample audit.
Fellow Python dev who spends too much time on football data.
Rodney
hello@rsrodai.org