GitHub / daniel-mehta / FPL-Expected-Points
Predict Fantasy Premier League (FPL) points using two models: a Random Forest regression (ML_xP.py) and a custom statistical model (xP_FPL.py). This project explores different approaches to predicting player performance, with a detailed comparison for Gameweek 5 of the 2024/25 EPL season.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daniel-mehta%2FFPL-Expected-Points
PURL: pkg:github/daniel-mehta/FPL-Expected-Points
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 119 KB
Dependencies parsed at: Pending
Created at: 10 months ago
Updated at: 7 months ago
Pushed at: 9 months ago
Last synced at: 12 days ago
Topics: data-science, fantasy-football, fantasy-premier-league, fantasy-sports, fpl, fpl-analysis, machine-learning, predictive-modeling, python, random-forest, regression-models, sports-analytics, statistical-modeling, xg