Explore quantitative 1X2 win probabilities for International Friendly. Our AI evaluates home advantage, head-to-head records, squad fitness, and Poisson win distributions. Validated across 2,142+ simulated International Friendly fixtures using expected goals, player ratings, and neural betting intelligence.
Validated across 2,142 fixtures
Historic Both Teams To Score rate
Avg 3.22 goals per match
Home vs Away xG: 1.52 - 1.27
Showing algorithmically evaluated matches for the International Friendly with focus on 1X2 Match Winner & Win-Draw-Win Predictions.
Home Form
Away Form
AI Prediction
Victoire Domicile
Correct Score
2-0
Over/Under
Moins 2.5
BTTS
Non
HT/FT
Local/Local
"Morocco's superior positional structure, technical control, and home defensive solidity give them a distinct edge over a direct but erratic Mali side."
Do you agree with AI?
Ce modèle dynamique d'analyse de football par IA para Morocco U23 vs Mali U23 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 International Friendly, home teams win 44% of games with an average of 3.22 total goals per match. Over 2.5 goals occurs in 49% of fixtures, while BTTS hits in 54% of matches.
Our algorithm simulates 10,000 match scenarios using Monte Carlo simulations and historical International Friendly metrics, accounting for 44% historic home win frequency.
In International Friendly, draws occur in approximately 23% of fixtures, which our model calculates through goal-distribution models.