Explore quantitative 1X2 win probabilities for Super League 1. Our AI evaluates home advantage, head-to-head records, squad fitness, and Poisson win distributions. Validated across 2,813+ simulated Super League 1 fixtures using expected goals, player ratings, and neural betting intelligence.
Validated across 2,813 fixtures
Historic Both Teams To Score rate
Avg 2.73 goals per match
Home vs Away xG: 1.43 - 1.08
Showing algorithmically evaluated matches for the Super League 1 with focus on 1X2 Match Winner & Win-Draw-Win Predictions.
Home Form
Away Form
AI Prediction
Ev Sahibi Kazanır
Correct Score
2-0
Over/Under
2.5 Alt
BTTS
Hayır
HT/FT
1/1
"PAOK boast superior squad quality and tactical cohesion at Toumba Stadium, making a controlled, shutout victory against newly promoted Kalamata the most probable outcome."
Do you agree with AI?
Bu PAOK FC vs Kalamata FC yapay zeka analiz raporu, gelişmiş makine öğrenimi modelleri tarafından tarihsel veriler, beklenen gol (xG) oranları ve güncel takım formları işlenerek elde edilmiştir.
90 dakikalık maç sonu (1 - X - 2) ihtimallerini ev sahibi saha avantajı ve takım form grafiklerine göre optimize eder.
In Super League 1, home teams win 45% of games with an average of 2.73 total goals per match. Over 2.5 goals occurs in 60% of fixtures, while BTTS hits in 53% of matches.
Our algorithm simulates 10,000 match scenarios using Monte Carlo simulations and historical Super League 1 metrics, accounting for 45% historic home win frequency.
In Super League 1, draws occur in approximately 28% of fixtures, which our model calculates through goal-distribution models.