Conducting research using AI machine learning and AI Neural Networks as well a statistical models are used to predict soccer match outcomes.
![Our New model which is still a work in progress. Match: Fulham vs Manchester United
Model: Random Forest
Elo: Fulham: 1570.7 Manchester United: 1561.5
Outcome Probabilities:
Home: 31.33% (CI 29.72% - 32.95%)
Draw: 44.67% (CI 42.93% - 46.40%)
Away: 24.00% (CI 22.51% - 25.49%)
Expected Goals: Fulham: 1.49 Manchester United: 1.66
Bootstrapped Poisson Prediction for Home Goals
Predicted Home Goals: 1.50
95% Confidence Interval: [0.00, 4.00]
Bootstrapped Poisson Prediction for Away Goals
Predicted Away Goals: 1.66
95% Confidence Interval: [0.00, 5.00]
Poisson Markets:
Over 2.5: 61.00% Under 2.5: 39.00%
BTTS Yes: 62.76% BTTS No: 37.24%
Top scorelines: 1-1 (0.106), 1-2 (0.088), 2-1 (0.079), 0-1 (0.071), 2-2 (0.066)
Monte Carlo (selected model):
Home wins: 3163 Draws: 4492 Away wins: 2345 (N=10000)](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:x3jcpo3c3gis33hs4j2vgldb/bafkreibdri53e6ifvimvct6brbnax34s4fdj5w742lwvdcw3ytjigsmhh4)
Conducting research using AI machine learning and AI Neural Networks as well a statistical models are used to predict soccer match outcomes.