AI Football Tips: 2. Bundesliga round 13

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Get Ready for Thrills! 2. Bundesliga Round 13 is Almost Here!

The excitement is building! Round 13 of the 2. Bundesliga promises another dose of captivating football action, and we’ve harnessed the power of artificial intelligence to bring you exclusive predictions and fascinating statistical deep dives.

Did you know that the 2. Bundesliga boasts some of the highest average goals per game in European leagues? This season continues that tradition of high-scoring encounters, making every match a potential spectacle!

Below, we’ll unveil our AI’s projections for each fixture, alongside key statistical analyses to help you understand what might unfold on the pitch. Remember, football is unpredictable – these are just insights, and there’s always an element of surprise! Please gamble responsibly.

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Full Time Results and Asian Handicap

In the table below you will find our AI prediccions for 2. Bundesliga round 13. Asian refers to the recomended asian handicap line.

Date League Home Team Away Team Prediction Asian
2025-11-21 2. Bundesliga Bochum Dynamo Dresden H 1X2
2025-11-21 2. Bundesliga Hertha BSC Eintracht Braunschweig H 1X2
2025-11-22 2. Bundesliga Fortuna Düsseldorf Magdeburg A 0
2025-11-22 2. Bundesliga Preußen Münster Schalke 04 A -0.25
2025-11-22 2. Bundesliga Paderborn Hannover 96 H -0.25
2025-11-22 2. Bundesliga Darmstadt 98 Greuther Fürth H 1X2
2025-11-23 2. Bundesliga Kaiserslautern Holstein Kiel H -0.25
2025-11-23 2. Bundesliga Nürnberg Arminia Bielefeld H -0.25
2025-11-23 2. Bundesliga Karlsruher SC Elversberg A -0.25

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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
2025-11-21 Bochum Dynamo Dresden 40 67 1.87 2.14
2025-11-21 Hertha BSC Eintracht Braunschweig 17 67 2.40 1.71
2025-11-22 Fortuna Düsseldorf Magdeburg 50 33 2.40 1.71
2025-11-22 Preußen Münster Schalke 04 100 33 1.50 3.00
2025-11-22 Paderborn Hannover 96 67 67 1.50 3.00
2025-11-22 Darmstadt 98 Greuther Fürth 50 67 1.71 2.40
2025-11-23 Kaiserslautern Holstein Kiel 67 50 1.71 2.40
2025-11-23 Nürnberg Arminia Bielefeld 50 80 1.54 2.86
2025-11-23 Karlsruher SC Elversberg 67 17 2.40 1.71

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
2025-11-21 Bochum Dynamo Dresden 2.96 1.76 2.31
2025-11-21 Hertha BSC Eintracht Braunschweig 2.17 2.71 1.59
2025-11-22 Fortuna Düsseldorf Magdeburg 2.25 2.56 1.64
2025-11-22 Preußen Münster Schalke 04 2.67 2.00 2.00
2025-11-22 Paderborn Hannover 96 3.25 1.59 2.71
2025-11-22 Darmstadt 98 Greuther Fürth 3.50 1.47 3.12
2025-11-23 Kaiserslautern Holstein Kiel 2.50 2.19 1.84
2025-11-23 Nürnberg Arminia Bielefeld 2.90 1.80 2.24
2025-11-23 Karlsruher SC Elversberg 2.92 1.79 2.27

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
Arminia Bielefeld 2.29 1.14 1.80 2.00
Elversberg 2.33 0.83 1.67 1.00
Hannover 96 1.50 1.83 2.17 1.17
Kaiserslautern 2.00 1.00 1.33 1.33
Paderborn 2.00 1.17 1.33 0.50
Darmstadt 98 1.67 0.67 1.50 1.17
Karlsruher SC 2.00 1.17 1.17 1.83
Greuther Fürth 1.17 2.17 1.83 2.83
Preußen Münster 1.83 1.33 1.00 2.17
Schalke 04 1.17 0.50 1.50 0.67
Bochum 1.60 1.00 1.14 1.86
Dynamo Dresden 1.33 2.00 1.33 2.00
Hertha BSC 0.83 0.83 1.67 0.83
Holstein Kiel 1.17 1.00 1.00 1.00
Nürnberg 0.83 1.17 1.33 1.50
Eintracht Braunschweig 1.00 2.33 1.00 1.67
Fortuna Düsseldorf 0.67 1.83 1.00 1.50
Magdeburg 1.00 2.17 0.50 1.50


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