Daily match predictions

How FootballOdds works

FootballOdds uses advanced AI and open-source language models to generate accurate match predictions. Instead of blindly following trends, we combine automated data from multiple sources, analyze patterns, and use artificial intelligence to arrive at a well-founded prediction.

But how does this work exactly? Below we explain step by step how our predictions are created.

Collect upcoming matches

FootballOdds looks 5 days ahead and gathers a list of upcoming matches. Looking further ahead makes little sense because team form, injuries, and other variables become outdated quickly. These matches form the basis for further analysis and prediction.

Collect recent data for each match

For each match we fetch up-to-date data from multiple APIs. This includes team statistics, player form, head-to-head results, expected goals (xG), and external factors such as injuries and weather. This creates a complete and current picture of the match.

Compose the AI prompt

The collected data is processed into a structure the AI understands. This prompt contains all relevant match information: recent form, tactical analysis, key absentees, and statistical trends. This ensures the AI models can generate a well-founded prediction.

Multiple AI models make the prediction

The collected data is processed into a structure the AI understands. This prompt contains all relevant match information: recent form, tactical analysis, key absentees, and statistical trends. This ensures the AI models can generate a well-founded prediction.

Store data & summarize into one concrete prediction

The results of all AI models are combined. We weigh factors such as confidence per model, historical accuracy, and contextual adjustments. This leads to one final prediction that reflects the most likely outcome of the match.

Present the prediction clearly

The final prediction is displayed in a clear match analysis. Users see not only the expected score and win percentages but also supporting statistics, form, player impact, and other insights so they understand how the prediction was created.

Final result

Everything is summarized in a clear overview so you can quickly and easily view the match analysis. You receive not only a prediction but a complete picture of the match with statistical insights.

AI Prediction

Prediction

Home team wins

Confidence

75%

Expected score

4-1

AI explanation

Our AI predicts a 2-1 win for Liverpool with 68% confidence. This is based on recent form: Liverpool won 4 of the last 5 matches, while United struggles with inconsistency. Liverpool’s attack generates an average of 2.3 xG per match versus United’s 1.6 xG. United is also missing defensive strength due to injuries. Historically, Liverpool often scores against top clubs (BTTS: 75%). The AI combines this data for the most likely outcome.

Match Predictions

Predicted Outcome 1-4
Confidence Level 75%
Chance of Home Win 75%
Chance of Away Win 25%
Chance of Draw 10%
Chance of Over 2.5 Goals 55%
Chance of Under 2.5 Goals 45%
Chance of Both Teams Scoring 60%
Predicted Average Goals 3
Expected Goals (xG) 4
First Team to Score Liverpool FC
Most Probable Goal Scorer Mohamed Salah
Predicted Goals (First Half) 2
Predicted Goals (Second Half) 2