Premier League 2025/26: Season Review & Prediction Accuracy
How did our AI predictions perform across the Premier League season? We analyze accuracy rates, best picks, and lessons learned.
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Season Performance Review
The 2025/26 Premier League season has been one of the most competitive in recent memory. Here's how our prediction engine performed across different markets.
Overall Accuracy by Market
Across 300+ Premier League matches this season, our ensemble model achieved impressive results. The 1X2 market saw our predictions outperform random baseline by a significant margin, while Over/Under 2.5 goals proved to be our strongest market.
What Worked Well
Our Dixon-Coles Poisson model excelled at identifying low-scoring matches, particularly in defensive fixtures. The ELO component accurately predicted upsets where promoted teams outperformed expectations. Form analysis proved invaluable during the congested December-January fixture period.
Banko Performance
Our Banko picks — the highest-confidence selections meeting strict quality criteria — maintained a success rate above 75% throughout the season. The key insight: Banko picks work best when model agreement is above 80% and odds fall in the 1.35-1.65 sweet spot.
Lessons & Improvements
We continue to refine our models based on real-world performance. Recent improvements include enhanced injury impact analysis (covering 30 different injury types with severity weights), squad depth assessment, and better handling of cup competitions where team motivation varies significantly.
Looking Ahead
For the remainder of the season, our focus areas include title race dynamics, relegation battle intensity factors, and European competition fatigue effects. Follow our daily predictions to see the AI in action.