AI Football Tips: 2. Bundesliga round 31

The wait is finally over! Round 31 of the magnificent 2. Bundesliga has arrived, bringing a fresh wave of intensity to Europe’s top flight. Did you know that this league consistently boasts one of the highest average attendances in football history? This is where **tactical battles** define champions and where every match matters for the **championship title**.

At AI-Odds.com, we have deployed our advanced artificial intelligence algorithms to analyze deep data patterns for this specific round. Get ready to unlock the secrets behind the scenes with our exclusive access to **AI-driven insights** and **statistical breakdowns**.

Important Note: Please gamble responsibly. All statistics provided are for informational purposes only and do not guarantee future outcomes or winnings.

Full Time Results and Asian Handicap

In the table below you will find our AI prediccions for 2. Bundesliga round 31. Asian refers to the recomended asian handicap line.

Date League Home Team Away Team Prediction Asian
2026-04-24 2. Bundesliga Kaiserslautern Eintracht Braunschweig H 1X2
2026-04-24 2. Bundesliga Fortuna Düsseldorf Dynamo Dresden H -0.25
2026-04-25 2. Bundesliga Preußen Münster Arminia Bielefeld A 1X2
2026-04-25 2. Bundesliga Karlsruher SC Hannover 96 A 1X2
2026-04-25 2. Bundesliga Hertha BSC Holstein Kiel H 1X2
2026-04-25 2. Bundesliga Darmstadt 98 Elversberg A -0.25
2026-04-26 2. Bundesliga Nürnberg Magdeburg H -0.25
2026-04-26 2. Bundesliga Paderborn Schalke 04 H -0.25
2026-04-26 2. Bundesliga Bochum Greuther Fürth H 1X2

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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 Kaiserslautern Eintracht Braunschweig 67 64 1.53 2.90
2026-04-24 Fortuna Düsseldorf Dynamo Dresden 60 73 1.50 3.00
2026-04-25 Preußen Münster Arminia Bielefeld 80 60 1.43 3.33
2026-04-25 Karlsruher SC Hannover 96 79 67 1.38 3.65
2026-04-25 Hertha BSC Holstein Kiel 40 73 1.76 2.31
2026-04-25 Darmstadt 98 Elversberg 47 60 1.87 2.14
2026-04-26 Nürnberg Magdeburg 53 53 1.88 2.14
2026-04-26 Paderborn Schalke 04 80 47 1.58 2.73
2026-04-26 Bochum Greuther Fürth 60 67 1.58 2.73

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 Kaiserslautern Eintracht Braunschweig 3.06 1.69 2.44
2026-04-24 Fortuna Düsseldorf Dynamo Dresden 2.94 1.78 2.29
2026-04-25 Preußen Münster Arminia Bielefeld 2.76 1.92 2.09
2026-04-25 Karlsruher SC Hannover 96 3.50 1.47 3.12
2026-04-25 Hertha BSC Holstein Kiel 2.56 2.12 1.89
2026-04-25 Darmstadt 98 Elversberg 2.83 1.86 2.16
2026-04-26 Nürnberg Magdeburg 3.14 1.65 2.55
2026-04-26 Paderborn Schalke 04 2.76 1.92 2.09
2026-04-26 Bochum Greuther Fürth 3.34 1.54 2.85

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
Darmstadt 98 1.93 0.80 1.53 1.67
Paderborn 2.07 1.47 1.40 0.87
Elversberg 1.80 0.87 1.67 1.27
Hannover 96 1.40 1.13 1.93 1.27
Kaiserslautern 2.20 1.13 1.07 1.80
Dynamo Dresden 1.80 1.40 1.47 1.73
Magdeburg 1.47 1.80 1.73 1.87
Karlsruher SC 2.14 1.64 1.06 2.06
Schalke 04 1.80 0.93 1.20 0.80
Hertha BSC 0.93 1.07 2.00 1.27
Bochum 1.80 1.27 1.07 1.60
Greuther Fürth 1.47 2.00 1.40 2.20
Arminia Bielefeld 1.80 1.27 1.07 1.73
Holstein Kiel 1.27 1.07 1.33 1.80
Nürnberg 1.53 1.13 1.07 1.60
Eintracht Braunschweig 1.12 1.56 1.00 1.79
Preußen Münster 1.27 1.47 0.87 1.93
Fortuna Düsseldorf 1.07 1.60 0.73 1.53

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 2. Bundesliga Kaiserslautern Eintracht Braunschweig 2 1
2026-04-24 2. Bundesliga Fortuna Düsseldorf Dynamo Dresden 2 1
2026-04-25 2. Bundesliga Preußen Münster Arminia Bielefeld 2 1
2026-04-25 2. Bundesliga Karlsruher SC Hannover 96 1 2
2026-04-25 2. Bundesliga Hertha BSC Holstein Kiel 2 1
2026-04-25 2. Bundesliga Darmstadt 98 Elversberg 2 2
2026-04-26 2. Bundesliga Nürnberg Magdeburg 2 2
2026-04-26 2. Bundesliga Paderborn Schalke 04 2 1
2026-04-26 2. Bundesliga Bochum Greuther Fürth 2 1


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