Premier League
Premier League predictions: AI analysis for upcoming fixtures
Find all our AI predictions and analysis for the Premier League here, updated daily. Every upcoming match is analyzed with our Poisson, ELO, and Dixon-Coles algorithms: 1X2 probabilities, likely scoreline, Over 2.5 goals, and BTTS. Pages cover both upcoming fixtures (14-day window) and recent fixtures with their post-match analysis.
📅 Upcoming matches (20)
✅ Recent matches (21)
Our prediction methodology
Our Premier League predictions rely on three complementary algorithms. Poisson models goal frequency per team from offensive and defensive averages. ELO adjusts each team's level match by match based on results. Dixon-Coles corrects Poisson biases on close scores (0-0, 1-1, 1-0). Combined, they output a 1X2 probability calibrated on 5 seasons of Premier League history.
About the competition
The Premier League brings together the elite of national football, with attack-minded teams and a dense calendar (up to 3 matches per week during peak periods). This regularity lets our statistical models produce reliable predictions: recent form, injuries, suspensions, and head-to-head meetings are integrated on each daily refresh. All Premier League analyses stay free and require no signup.
Frequently asked questions
How are Premier League predictions computed?
Three algorithms (Poisson, ELO, Dixon-Coles) process data from the last 5 seasons: offensive and defensive averages, standings, recent form, head-to-head. The output is a 1X2 probability, a likely scoreline, Over 2.5 goals, and BTTS.
Are Premier League predictions free?
Yes. All Premier League analyses (probabilities, likely scoreline, Over/BTTS) are free. No account, no paywall, no usage quota.
How often are pages refreshed?
Daily. The cron updates standings, recent form, injuries, and head-to-head overnight. Predictions are then recomputed for matches in the next 14 days.
Can I trust AI predictions?
Our models are calibrated on 5 real seasons of history, with public precision tracking. But no model is infallible: use our predictions as one signal among many, not as an oracle.