AI Football Tips: Bundesliga round 31

The wait is finally over! Round 31 of the magnificent Bundesliga is upon us, and the excitement for high-stakes **football action** is palpable. Did you know the Bundesliga boasts the highest average attendance in Europe? This league is where **legends are made**, tactical battles intensify, and upsets can redefine the entire season.

At AI-Odds.com, we’ve deployed our advanced predictive algorithms to analyze every data point for this crucial **Bundesliga** weekend. Prepare to harness the **precision of artificial intelligence** through our exclusive **Round 31 statistics**, deep-dive analytics, and probability forecasts designed for the savvy bettor.

Disclaimer: Gambling involves risk. All Bundesliga insights are statistical estimations and do not guarantee future results. Please gamble responsibly.

Full Time Results and Asian Handicap

In the table below you will find our AI prediccions for Bundesliga round 31. Asian refers to the recomended asian handicap line.

Date League Home Team Away Team Prediction Asian
2026-04-24 Bundesliga RB Leipzig Union Berlin H No bet
2026-04-25 Bundesliga Heidenheim St. Pauli H -0.25
2026-04-25 Bundesliga Köln Bayer Leverkusen H +0.5
2026-04-25 Bundesliga Augsburg Eintracht Frankfurt H -0.25
2026-04-25 Bundesliga Mainz 05 Bayern München A 1X2
2026-04-25 Bundesliga Wolfsburg Borussia M’gladbach H -0.25
2026-04-25 Bundesliga Hamburger SV Hoffenheim A 1X2
2026-04-26 Bundesliga Stuttgart Werder Bremen H 1X2
2026-04-26 Bundesliga Borussia Dortmund Freiburg H No bet

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Both Teams to Score

BTS (Both Teams to Score) is a popular betting market in sports, especially in soccer. In a BTS bet, you’re wagering on whether both teams in a match will score at least one goal each. The table below shows the BTS stats for the home team at home and the away team away.

Date Home Team Away Team BTS Home (%) BTS Away (%) BTS Target BTS No Target
2026-04-24 RB Leipzig Union Berlin 60 47 1.87 2.14
2026-04-25 Heidenheim St. Pauli 67 47 1.76 2.31
2026-04-25 Köln Bayer Leverkusen 87 60 1.36 3.75
2026-04-25 Augsburg Eintracht Frankfurt 53 87 1.43 3.33
2026-04-25 Mainz 05 Bayern München 53 60 1.76 2.31
2026-04-25 Wolfsburg Borussia M’gladbach 80 47 1.58 2.73
2026-04-25 Hamburger SV Hoffenheim 67 67 1.50 3.00
2026-04-26 Stuttgart Werder Bremen 33 47 2.50 1.67
2026-04-26 Borussia Dortmund Freiburg 40 40 2.50 1.67

Totals

The table below shows the goal averages for each encounter based on home teams average performance (goals scored and conceded) at home, and away teams average performance away. We use poisson distribution to calculate probabilities for over and under 2.5 goal. For your convienence we have converted the probabilities to decimal odds.

Date Home Team Away Team Goal Avg. +2.5 target odds -2.5 target odds
2026-04-24 RB Leipzig Union Berlin 3.16 1.63 2.58
2026-04-25 Heidenheim St. Pauli 3.06 1.69 2.44
2026-04-25 Köln Bayer Leverkusen 3.46 1.49 3.05
2026-04-25 Augsburg Eintracht Frankfurt 3.66 1.41 3.42
2026-04-25 Mainz 05 Bayern München 3.26 1.58 2.72
2026-04-25 Wolfsburg Borussia M’gladbach 3.17 1.63 2.59
2026-04-25 Hamburger SV Hoffenheim 3.10 1.67 2.49
2026-04-26 Stuttgart Werder Bremen 2.80 1.88 2.13
2026-04-26 Borussia Dortmund Freiburg 3.03 1.71 2.40

We also have calculated the average goals scored and conceded for the teams. See the table below.

Team Home Goals Home Conceded Away Goals Away Conceded
Bayern München 4.00 1.00 3.27 0.93
Stuttgart 1.73 0.93 2.40 1.87
Borussia Dortmund 2.20 0.93 1.87 1.13
Bayer Leverkusen 2.20 1.13 1.80 1.60
Hoffenheim 2.07 1.20 1.87 1.73
RB Leipzig 2.33 1.20 1.60 1.27
Eintracht Frankfurt 1.73 1.53 1.93 2.27
Freiburg 1.87 1.33 1.07 1.87
Köln 1.87 1.67 1.07 1.73
Wolfsburg 1.40 2.07 1.33 2.33
Augsburg 1.40 1.73 1.13 1.87
Mainz 05 1.13 1.20 1.27 1.80
Borussia M’gladbach 1.27 1.60 1.13 1.73
Werder Bremen 1.20 1.73 1.13 1.80
Union Berlin 1.33 1.60 0.93 1.87
Heidenheim 1.40 2.33 0.80 2.07
Hamburger SV 1.40 1.20 0.80 2.00
St. Pauli 1.00 1.73 0.73 1.67

Correct Score Predictions

These projections are generated using advanced statistical models that evaluate team strength, expected‑goals data, and historical scoring patterns. The table below highlights the most probable scorelines based on current performance indicators and model‑driven probability weighting.

Date League HomeTeam AwayTeam Home Score Away Score
2026-04-24 Bundesliga RB Leipzig Union Berlin 2 1
2026-04-25 Bundesliga Heidenheim St. Pauli 1 1
2026-04-25 Bundesliga Köln Bayer Leverkusen 2 1
2026-04-25 Bundesliga Augsburg Eintracht Frankfurt 2 1
2026-04-25 Bundesliga Mainz 05 Bayern München 1 2
2026-04-25 Bundesliga Wolfsburg Borussia M’gladbach 2 1
2026-04-25 Bundesliga Hamburger SV Hoffenheim 1 1
2026-04-26 Bundesliga Stuttgart Werder Bremen 2 1
2026-04-26 Bundesliga Borussia Dortmund Freiburg 2 1


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