Match Board

Match Board

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

Date:
League:
2. Bundesliga
Oct 9 12:30
2. Bundesliga | Oct 9 12:30

Braunschweig vs Holstein Kiel

Model Forecast

Braunschweig to win

Estimated Probability

46.72%

Result

N/A

Market Odds Reference

2.57

Estimated Probability

46.72%

2. Bundesliga
Oct 9 12:30
2. Bundesliga | Oct 9 12:30

Heidenheim vs Kaiserslautern

Model Forecast

Heidenheim to win

Estimated Probability

63.35%

Result

N/A

Market Odds Reference

1.86

Estimated Probability

63.35%

2. Bundesliga
Oct 9 12:30
2. Bundesliga | Oct 9 12:30

1. FC Heidenheim vs 1. FC Kaiserslautern

Model Forecast

1. FC Heidenheim to win

Estimated Probability

35.38%

Result

N/A

Market Odds Reference

1.83

Estimated Probability

35.38%

Turkish Super Lig
Oct 9 13:00
Turkish Super Lig | Oct 9 13:00

Galatasaray vs Kasimpasa

Model Forecast

Galatasaray to win

Estimated Probability

67.16%

Result

N/A

Market Odds Reference

1.23

Estimated Probability

67.16%

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

Braunschweig vs Holstein Kiel

9 Oct 2026 12:30

Model Pick

Braunschweig to win

Estimated Probability

44.7%

Market Odds Reference

2.44

View Analysis
Eredivisie
Pending

PSV Eindhoven vs Heerenveen

9 Oct 2026 14:00

Model Pick

Draw

Estimated Probability

19.5%

Market Odds Reference

6.50

View Analysis
Ligue 2
Pending

Pau FC vs Laval

9 Oct 2026 14:00

Model Pick

Draw

Estimated Probability

31.3%

Market Odds Reference

3.30

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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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

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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

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

Stoke

+0.3
Model Rating 23.96

Recent Form

D W L L L

Rating trending upward.

View Team Profile

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