Latest 2. Bundesliga AI Predictions: Results, Goals & Promotion Odds
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Set it upLast updated: 2026-10-09
Game #1
St Pauli
HOMEKarlsruhe
AWAYMatch Result Probability
Over/Under 2.5 Goals
Goal/No Goal
Predicted Result
Game #2
Hertha
HOMEGreuther Furth
AWAYMatch Result Probability
Over/Under 2.5 Goals
Goal/No Goal
Predicted Result
Game #3
Magdeburg
HOMEHannover
AWAYMatch Result Probability
Over/Under 2.5 Goals
Goal/No Goal
Predicted Result
Game #4
Heidenheim
HOMEKaiserslautern
AWAYMatch Result Probability
Over/Under 2.5 Goals
Goal/No Goal
Predicted Result
Game #5
Darmstadt
HOMECottbus
AWAYMatch Result Probability
Over/Under 2.5 Goals
Goal/No Goal
Predicted Result
Game #6
Bochum
HOMEBielefeld
AWAYMatch Result Probability
Over/Under 2.5 Goals
Goal/No Goal
Predicted Result
Game #7
Nurnberg
HOMEWolfsburg
AWAYMatch Result Probability
Over/Under 2.5 Goals
Goal/No Goal
Predicted Result
Game #8
Braunschweig
HOMEHolstein Kiel
AWAYMatch Result Probability
Over/Under 2.5 Goals
Goal/No Goal
Predicted Result
Game #9
Osnabruck
HOMEDresden
AWAYMatch Result Probability
Over/Under 2.5 Goals
Goal/No Goal
Predicted Result
What's Inside Each Match Analysis
Click on any match card above to access our in-depth match analysis pages. Each page provides insights you won't find elsewhere:
AI-Generated Match Preview
Data-driven match analysis with prediction summary, team form assessment, and key tactical insights.
Under/Over 2.5 Goals Analysis
Detailed probability breakdown for goals predictions based on team scoring patterns and defensive records.
Shots Predictions
Expected shots derived from neural network probability distributions, not simple averages.
Corners Predictions
Neural network-based corner kick predictions with probability context for more informed analysis.
Goal Spread Predictions
Expected goal difference (home - away) with full probability distributions for handicap analysis.
AI-Powered 2. Bundesliga Predictions
The 2. Bundesliga is one of the best-supported second divisions in world football, where fallen giants such as Hamburg, Schalke and other traditional clubs share an 18-team table with ambitious upstarts. Two clubs win automatic promotion and a third contests a two-legged relegation/promotion play-off against the Bundesliga's 16th-placed side. High attendances and attacking football give the division a distinctive, goal-friendly profile that our models study from 2017-18 onward.
Our proprietary neural network models are trained on 9 seasons of 2. Bundesliga data and leverage approximately 600 features including rolling team-form indices, Elo & Glicko-2 rating dynamics, shots, corners and discipline metrics, quality-of-result indicators from closed matches.
What sets us apart: Unlike competitors who provide simple averages for shots and corners, our neural network models generate expected values derived from probability distributions. This means our predictions capture the full range of likely outcomes, providing deeper analytical insight than basic statistical averages.
Our models incorporate recent team form, home/away performance differentials, Elo and Glicko-2 rating dynamics, quality-of-result indicators and match-level metrics such as shots made and conceded, corners and fouls to deliver comprehensive match predictions.
Historical 2. Bundesliga KPIs
Explore how key 2. Bundesliga metrics have evolved over the last 9 seasons. These trends inform our AI models and provide context for current predictions.
Match Results Trend
Goals & Over 2.5 Trend
Match Metrics Trend
2. Bundesliga Power Rankings
Two rating models, one table. ELO measures accumulated season strength. Glicko-2 adds a confidence layer, flagging teams whose form is inconsistent. The Rank Δ column shows where both systems disagree most. Updated after every matchday.
Prediction Transparency
We believe in full transparency. All our historical predictions and their outcomes are publicly available. Track our prediction accuracy and model performance over time:
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Every match analysis includes downloadable probability distributions in JSON and CSV format. Access full PDFs, CDFs, and match prediction data for your own analysis.
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