1X2 predictions · Stable
81 / 100
81,0 %Success rate
Time series unavailable
81 prédictions correctes sur les 100 derniers matchs stables.
AI-powered football analysis & predictions
Football, made clear by AI
Match probabilities, goal trends, scenario stability, reliability history and contextual signals: a transparent reading of football by Foresportia.
Data updated on
Verified performance on real results
Multi-market picks
97 / 100
97.0%Success rate
Time series unavailable
97 successful picks out of 100 · ultra high performance mode.
Top AI PredictionsPerformance by market
Verified results from settled picks.
Past performance describes model behaviour on known results. It does not guarantee future results.
Top matches to explore
A worldwide selection based on the same probability and confidence signals as the current home.
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Your prediction space
Find your picks, measure your results and compare your progress.
- 1TrackSave your predictions.
- 2MeasureCompare your results with the model.
- 3CompareSee your progress on the leaderboard.
I am here to…
Understand pre-match probabilities and, for selected matches, their beta live evolution.
Understand the method
Poisson, simulations, calibration and model limits.
Explore matches
Today's probabilities and context.
API Foresportia
Integrate the data into your tools.
Check reliability
Past results and performance.
Free football predictions
Browse available football predictions, matches to follow and verified results.
AI football prediction
Explore 1X2 probabilities, goal scenarios and estimated uncertainty for each match.
AI exact score
Compare likely scorelines, their probabilities and verified results.
Team form
Analyse recent momentum and each team's runs.
Latest articles
The latest Foresportia data and AI analysis.
Probability threshold in football prediction: coverage vs accuracy
How to choose a probability threshold in football prediction models: balancing coverage, accuracy and variance, league by league.
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How to analyze promotion and relegation probabilities in intermediate divisions using season trajectories, calendar effects and uncertainty.
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Elo rating in football: measuring true team strength
League tables can mislead. Elo rating captures dynamic team strength, accounts for opponent quality and improves probability modeling and calibration.
Read articleFrequently asked questions
View all FAQsDoes a high probability mean a certain result?
No. A win probability remains a statistical estimate. Football retains high variance.
How should I read a football match analysis on Foresportia?
Read the probability, then the reliability indicator, and finally the context: league, momentum and recent form.
What is Foresportia's purpose?
Provide a transparent data and AI reading of matches, without promises and with a verifiable track record.