Explore quantitative 1X2 win probabilities for Super League 2. Our AI evaluates home advantage, head-to-head records, squad fitness, and Poisson win distributions. Validated across 2,814+ simulated Super League 2 fixtures using expected goals, player ratings, and neural betting intelligence.
Validated across 2,814 fixtures
Historic Both Teams To Score rate
Avg 2.74 goals per match
Home vs Away xG: 1.44 - 1.09
Showing algorithmically evaluated matches for the Super League 2 with focus on 1X2 Match Winner & Win-Draw-Win Predictions.
Home Form
Away Form
AI Prediction
Victoire Extérieur
Correct Score
0-1
Over/Under
Moins 2.5
BTTS
Non
HT/FT
Nul/Ext.
"Apollon Kalamaria carry renewed tactical discipline following their clean sheet victory against Anagennisi Karditsa, while Zakynthos remain entrenched at the bottom of the table with persistent offensive inefficiencies and defensive frailties."
Do you agree with AI?
Ce modèle dynamique d'analyse de football par IA para Zakynthos FC vs Apollon Kalamaria est généré à l'aide d'algorithmes d'apprentissage automatique de pointe. Les calculs évaluent les statistiques historiques, les valeurs de forme de l'équipe et les indices de buts attendus.
Analyse les probabilités de résultat final à 90 minutes (Victoire Domicile, Nul, Victoire Extérieur) ajustées pour l'avantage du terrain.
In Super League 2, home teams win 46% of games with an average of 2.74 total goals per match. Over 2.5 goals occurs in 61% of fixtures, while BTTS hits in 54% of matches.
Our algorithm simulates 10,000 match scenarios using Monte Carlo simulations and historical Super League 2 metrics, accounting for 46% historic home win frequency.
In Super League 2, draws occur in approximately 23% of fixtures, which our model calculates through goal-distribution models.