Match Board

Match Board

Browse fixtures with model probability estimates, expected outcomes, and neutral market odds references.

Date:
League:
Bundesliga
Today 09:30
Bundesliga | Today 09:30

SC Paderborn vs Stuttgart

Model Forecast

Stuttgart to win

Estimated Probability

67.28%

Result

N/A

Market Odds Reference

1.59

Estimated Probability

67.28%

Bundesliga
Today 09:30
Bundesliga | Today 09:30

TSG Hoffenheim vs Hamburg

Model Forecast

Hamburg to win

Estimated Probability

39.4%

Result

N/A

Market Odds Reference

6.31

Estimated Probability

39.4%

Serie B
Today 10:00
Serie B | Today 10:00

Benevento vs Cesena

Model Forecast

Benevento to win

Estimated Probability

40.6%

Result

N/A

Market Odds Reference

1.89

Estimated Probability

40.6%

Serie B
Today 10:00
Serie B | Today 10:00

Empoli vs Palermo

Model Forecast

Palermo to win

Estimated Probability

40.27%

Result

N/A

Market Odds Reference

1.94

Estimated Probability

40.27%

These forecasts are informational only. They are not betting advice, financial advice, or a guarantee of any result.
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Featured Analysis

Today's Model Highlights

A small set of upcoming fixtures where the model output is notable. Use these as analysis inputs.

Bundesliga
Pending

Hoffenheim vs Hamburg

10 Oct 2026 09:30

Model Pick

Hamburg to win

Estimated Probability

24.8%

Market Odds Reference

6.32

View Analysis
Bundesliga
Pending

Augsburg vs Bayern Munich

10 Oct 2026 09:30

Model Pick

Draw

Estimated Probability

20.2%

Market Odds Reference

7.50

View Analysis
English League Two
Pending

Tranmere vs Rochdale

10 Oct 2026 10:00

Model Pick

Rochdale to win

Estimated Probability

84.4%

Market Odds Reference

3.15

View Analysis
These forecasts are informational only. They are not betting advice, financial advice, or a guarantee of any result.
See More Match Analysis

Why Trust the Model?

We focus on transparent methodology: a hybrid prediction engine, dynamic team ratings, probabilistic outputs, and open explanations of how the system is evaluated.

Hybrid Prediction Model

TopBets.ai combines neural-network match forecasting with Kalman-based rating updates, giving the model a structured way to learn from new results over time.

Dynamic Team Ratings

Each match updates team strength estimates using observed performance and model uncertainty, so ratings evolve continuously instead of staying static.

Probabilities, Not Absolutes

The model is built to estimate outcome probabilities and uncertainty ranges, helping you think in terms of likelihood and uncertainty.

Open for You to Explore

We publish how the system works, compare model accuracy with bookmaker baselines, and discuss calibration openly so users can evaluate the model on transparent terms.
Team Index

Browse Teams

Explore team profiles with current model ratings, recent form, and upcoming match context.

Browse all teams

St. Gilloise

+0.3
Model Rating 56.93

Recent Form

W W D L W

Rating trending upward.

View Team Profile

Standard

+1.3
Model Rating 29.89

Recent Form

L W D W W

Rating trending upward.

View Team Profile

Stenhousemuir

+2.2
Model Rating 69.94

Recent Form

W W L D W

Rating trending upward.

View Team Profile

Stevenage

+5.8
Model Rating 45.06

Recent Form

D W D W D

Rating trending upward.

View Team Profile

Stirling

-1.4
Model Rating 38.69

Recent Form

D D D L L

Rating trending downward.

View Team Profile

Stockport

+1.3
Model Rating 51.44

Recent Form

L W L W L

Rating trending upward.

View Team Profile

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