Explore quantitative 1X2 win probabilities for Superettan. Our AI evaluates home advantage, head-to-head records, squad fitness, and Poisson win distributions. Validated across 1,809+ simulated Superettan fixtures using expected goals, player ratings, and neural betting intelligence.
Validated across 1,809 fixtures
Historic Both Teams To Score rate
Avg 2.29 goals per match
Home vs Away xG: 1.39 - 1.14
Showing algorithmically evaluated matches for the Superettan with focus on 1X2 Match Winner & Win-Draw-Win Predictions.
Home Form
Away Form
AI Prediction
Victoire Domicile
Correct Score
3-1
Over/Under
Plus 2.5
BTTS
Oui
HT/FT
Local/Local
"League leaders IFK Norrköping boast an overwhelming home offensive record and superior expected goals creation against a struggling GIF Sundsvall side that has conceded heavily on the road."
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Ce modèle dynamique d'analyse de football par IA para IFK Norrköping vs GIF Sundsvall 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 Superettan, home teams win 51% of games with an average of 2.29 total goals per match. Over 2.5 goals occurs in 56% of fixtures, while BTTS hits in 57% of matches.
Our algorithm simulates 10,000 match scenarios using Monte Carlo simulations and historical Superettan metrics, accounting for 51% historic home win frequency.
In Superettan, draws occur in approximately 26% of fixtures, which our model calculates through goal-distribution models.