Latest Bundesliga AI Predictions: Results, Under/Over, Corners & Shots

Last updated: 2026-03-10

Game #1

Hoffenheim

HOME
VS

Wolfsburg

AWAY

Match Result Probability

Hoffenheim
89.4%
Draw
6.1%
Wolfsburg
4.4%

Over/Under 2.5 Goals

Over 2.5
65.8%
Under 2.5
34.2%

Goal/No Goal

Goal
59.1%
No Goal
40.9%

Predicted Result

Home Over 2.5 Goal
View Match Analysis

Game #2

Dortmund

HOME
VS

Augsburg

AWAY

Match Result Probability

Dortmund
88.0%
Draw
7.0%
Augsburg
5.0%

Over/Under 2.5 Goals

Over 2.5
58.7%
Under 2.5
41.3%

Goal/No Goal

Goal
65.9%
No Goal
34.1%

Predicted Result

Home Over 2.5 Goal
View Match Analysis

Game #3

Ein Frankfurt

HOME
VS

Heidenheim

AWAY

Match Result Probability

Ein Frankfurt
79.0%
Draw
11.7%
Heidenheim
9.4%

Over/Under 2.5 Goals

Over 2.5
55.6%
Under 2.5
44.4%

Goal/No Goal

Goal
54.0%
No Goal
46.0%

Predicted Result

Home Over 2.5 Goal
View Match Analysis

Game #4

Freiburg

HOME
VS

Union Berlin

AWAY

Match Result Probability

Freiburg
64.8%
Draw
18.7%
Union Berlin
16.5%

Over/Under 2.5 Goals

Over 2.5
48.9%
Under 2.5
51.1%

Goal/No Goal

Goal
50.8%
No Goal
49.2%

Predicted Result

Home Under 2.5 Goal
View Match Analysis

Game #5

M'gladbach

HOME
VS

St Pauli

AWAY

Match Result Probability

M'gladbach
63.0%
Draw
19.1%
St Pauli
17.9%

Over/Under 2.5 Goals

Over 2.5
45.0%
Under 2.5
55.0%

Goal/No Goal

Goal
49.2%
No Goal
50.8%

Predicted Result

Home Under 2.5 no_Goal
View Match Analysis

Game #6

Werder Bremen

HOME
VS

Mainz

AWAY

Match Result Probability

Werder Bremen
52.3%
Draw
24.0%
Mainz
23.7%

Over/Under 2.5 Goals

Over 2.5
49.5%
Under 2.5
50.5%

Goal/No Goal

Goal
56.3%
No Goal
43.7%

Predicted Result

Home Under 2.5 Goal
View Match Analysis

Game #7

Stuttgart

HOME
VS

RB Leipzig

AWAY

Match Result Probability

Stuttgart
43.7%
Draw
25.6%
RB Leipzig
30.7%

Over/Under 2.5 Goals

Over 2.5
63.0%
Under 2.5
37.0%

Goal/No Goal

Goal
64.5%
No Goal
35.5%

Predicted Result

Home Over 2.5 Goal
View Match Analysis

Game #8

Leverkusen

HOME
VS

Bayern Munich

AWAY

Match Result Probability

Leverkusen
2.2%
Draw
3.0%
Bayern Munich
94.9%

Over/Under 2.5 Goals

Over 2.5
57.9%
Under 2.5
42.1%

Goal/No Goal

Goal
62.3%
No Goal
37.7%

Predicted Result

Away Over 2.5 Goal
View Match Analysis

What's Inside Each Match Analysis

Click on any match card above to access our in-depth match analysis pages. Each article provides comprehensive 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.

Learn About Our Methodology

AI-Powered Bundesliga Predictions

The Bundesliga is Germany's premier football league, renowned for its high-scoring matches and attacking football philosophy. Our AI models analyze last 10 seasons of Bundesliga data, processing approximately 700 features including Expected Goals (xG), shots, corners, and recent team performance to generate predictions with full probability context.

Our proprietary neural network models are trained on 10 seasons of Bundesliga data and leverage approximately 700 features including latest teams performance, Games metrics , Expected Goals, Corners, Shots.

Match Winner
Under/Over 2.5
Shots
Goal No Goal
Corners

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, Expected Goals (xG), and match-level metrics such as shots made and conceded, corners, fouls, and possession patterns to deliver comprehensive match predictions.

Historical Bundesliga KPIs

Explore how key Bundesliga metrics have evolved over the last 10 seasons. These trends inform our AI models and provide context for current predictions.

44%
Home Wins %
31%
Away Wins %
25%
Draws %
59%
Over 2.5 Goals %
58%
Both Teams Score %
3.0
Avg Goals per Match
25.9
Avg Shots per Match
9.6
Avg Corners per Match

Match Results Trend

Bundesliga match results trend chart showing home wins, away wins, and draws percentages across seasons

Goals & Over 2.5 Trend

Bundesliga goals trend chart showing average goals scored and over 2.5 percentage across seasons

Match Metrics Trend

Bundesliga match metrics chart showing average shots and corners per match across seasons

2025-2026 Bundesliga Teams

Augsburg
Bayern Munich
Dortmund
Ein Frankfurt
FC Koln
Freiburg
Hamburg
Heidenheim
Hoffenheim
Leverkusen
M'gladbach
Mainz
RB Leipzig
St Pauli
Stuttgart
Union Berlin
Werder Bremen
Wolfsburg

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.

View Power Rankings

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:

Current Season Performance 2024-2025 Season Performance

Get Daily Bundesliga Predictions

If you like our content and want to receive daily predictions, subscribe to our Telegram channel and receive daily AI-driven Bundesliga predictions directly on your phone.

Join Our Telegram Channel

Frequently Asked Questions

We are the only sports analytics platform providing neural network-based probability predictions for Bundesliga matches that go beyond simple averages. Our models generate expected values from deep learning with full probability context for shots and corners predictions, giving you deeper insight into the range of likely outcomes.

Our neural networks process approximately 700 features including Expected Goals (xG), shots made and conceded, corners data, recent team form, and historical match data spanning 10 Bundesliga seasons.

We provide predictions for match winner (home, draw, away with probabilities), under/over 2.5 goals, corners predictions, shots predictions, and goal/no goal predictions. Each prediction type uses a dedicated neural network model.

We believe in full transparency. All our historical predictions and outcomes are publicly available on our performance tracking page, where you can verify our accuracy across different prediction types and seasons.

A probability distribution shows the likelihood of each possible outcome, not just a single prediction. For example, for corners predictions, instead of just saying 'expected 10 corners,' our models provide the expected value derived from neural network probability distributions, giving you deeper insight than simple averages. Learn more about probability distributions.

We provide two types of charts in each match analysis. The probability distribution chart shows you the likelihood of each possible outcome—the peak indicates the most likely result, and the spread shows how certain the prediction is. The CDF (Cumulative Distribution Function) chart is perfect for understanding over/under scenarios—it shows the probability of outcomes being less than or equal to any value. Read our complete guide to understanding probability charts.

Our predictions are generated on average 2-3 days before each matchday. We process the latest match results, team form data, and performance metrics to ensure predictions reflect the most current information available.

The Bundesliga has historically averaged around 3.0 goals per match, higher than most European leagues. This is attributed to the league's emphasis on attacking, pressing football, influenced by coaching philosophies that prioritize offensive play. Our models account for this league-specific characteristic when generating predictions.