Match Board

Match Board

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

Date:
League:
Eredivisie
Aug 7 14:00
Eredivisie | Aug 7 14:00

Cambuur vs Excelsior

Model Forecast

Excelsior to win

Estimated Probability

46%

Result

N/A

Market Odds Reference

2.53

Estimated Probability

46%

2. Bundesliga
Aug 7 14:30
2. Bundesliga | Aug 7 14:30

Bochum vs TB Berlin

Model Forecast

Bochum to win

Estimated Probability

54%

Result

N/A

Market Odds Reference

2.29

Estimated Probability

54%

Belgian Pro League
Aug 7 14:45
Belgian Pro League | Aug 7 14:45

Club Brugge vs Kortrijk

Model Forecast

Club Brugge to win

Estimated Probability

76%

Result

N/A

Market Odds Reference

1.23

Estimated Probability

76%

Primeira Liga
Aug 7 15:15
Primeira Liga | Aug 7 15:15

Estoril vs Famalicao

Model Forecast

Famalicao to win

Estimated Probability

41%

Result

N/A

Market Odds Reference

2.20

Estimated Probability

41%

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.

2. Bundesliga
Pending

Bochum vs TB Berlin

7 Aug 2026 14:30

Model Pick

Bochum to win

Estimated Probability

54%

Market Odds Reference

2.48

View Analysis
Primeira Liga
Pending

Estoril vs Famalicao

7 Aug 2026 15:15

Model Pick

Estoril to win

Estimated Probability

32%

Market Odds Reference

3.30

View Analysis
Primeira Liga
Pending

Maritimo vs Casa Pia

8 Aug 2026 10:30

Model Pick

Maritimo to win

Estimated Probability

43%

Market Odds Reference

2.35

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

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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.

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

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Team Index

Browse Teams

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

Browse all teams

Bologna

+0.1
Model Rating 7.70

Recent Form

D W W D L

Rating trending upward.

View Team Profile

Bolton

-0.1
Model Rating 9.71

Recent Form

L D D W L

Rating trending downward.

View Team Profile

Boulogne

-0.4
Model Rating 1.56

Recent Form

L L L L D

Rating trending downward.

View Team Profile

Bournemouth

+0.4
Model Rating 10.95

Recent Form

D D W W D

Rating trending upward.

View Team Profile

Bradford

+0.0
Model Rating 8.01

Recent Form

W D D D L

Rating trending upward.

View Team Profile

Braunschweig

+0.3
Model Rating 4.20

Recent Form

L W L W D

Rating trending upward.

View Team Profile

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Our AI model provides probability-based insights to inform your analysis. Predictions are never certain, sports outcomes are inherently unpredictable, and winnings are never guaranteed.If you are using our services to gamble, seek help at BeGambleAware.org.