AI Football Tips: 2. Bundesliga round 27

The **wait is over**! Round 27 of the electrifying 2. Bundesliga is here, and the football action is hotter than ever. Did you know the 2. Bundesliga features the highest average attendance in Europe? This league is where underdogs rise and every match fuels the fire of the title race.

At AI-Odds.com, our cutting-edge machine learning models are now analyzing every data point for this weekend’s fixtures. Dive into the AI-generated statistics and unlock the hidden patterns behind the 2. Bundesliga action.

Remember: Responsible betting is key. All predictions are based on statistical probability and do not guarantee results. Gamble responsibly.

Full Time Results and Asian Handicap

In the table below you will find our AI prediccions for 2. Bundesliga round 27. Asian refers to the recomended asian handicap line.

Date League Home Team Away Team Prediction Asian
2026-03-20 2. Bundesliga Hannover 96 Eintracht Braunschweig H 1X2
2026-03-20 2. Bundesliga Karlsruher SC Greuther Fürth H 1X2
2026-03-21 2. Bundesliga Nürnberg Kaiserslautern H 1X2
2026-03-21 2. Bundesliga Elversberg Arminia Bielefeld H 1X2
2026-03-21 2. Bundesliga Paderborn Dynamo Dresden H 1X2
2026-03-21 2. Bundesliga Darmstadt 98 Schalke 04 A 0
2026-03-22 2. Bundesliga Preußen Münster Magdeburg A -0.25
2026-03-22 2. Bundesliga Fortuna Düsseldorf Hertha BSC H -0.25
2026-03-22 2. Bundesliga Bochum Holstein Kiel 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
2026-03-20 Hannover 96 Eintracht Braunschweig 50 67 1.71 2.40
2026-03-20 Karlsruher SC Greuther Fürth 75 69 1.39 3.59
2026-03-21 Nürnberg Kaiserslautern 62 50 1.79 2.26
2026-03-21 Elversberg Arminia Bielefeld 42 54 2.09 1.91
2026-03-21 Paderborn Dynamo Dresden 77 77 1.30 4.33
2026-03-21 Darmstadt 98 Schalke 04 46 38 2.36 1.73
2026-03-22 Preußen Münster Magdeburg 85 46 1.53 2.89
2026-03-22 Fortuna Düsseldorf Hertha BSC 54 50 1.93 2.08
2026-03-22 Bochum Holstein Kiel 54 69 1.62 2.60

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
2026-03-20 Hannover 96 Eintracht Braunschweig 2.75 1.93 2.08
2026-03-20 Karlsruher SC Greuther Fürth 3.76 1.38 3.63
2026-03-21 Nürnberg Kaiserslautern 2.84 1.85 2.17
2026-03-21 Elversberg Arminia Bielefeld 2.52 2.17 1.86
2026-03-21 Paderborn Dynamo Dresden 3.31 1.56 2.80
2026-03-21 Darmstadt 98 Schalke 04 2.38 2.35 1.74
2026-03-22 Preußen Münster Magdeburg 3.08 1.68 2.47
2026-03-22 Fortuna Düsseldorf Hertha BSC 2.78 1.90 2.11
2026-03-22 Bochum Holstein Kiel 2.88 1.82 2.22

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 2.15 0.69 1.54 1.54
Kaiserslautern 2.14 1.21 1.25 1.75
Hannover 96 1.50 1.25 1.93 1.36
Dynamo Dresden 1.92 1.54 1.46 1.85
Elversberg 1.67 0.83 1.71 1.29
Paderborn 1.92 1.38 1.38 0.92
Karlsruher SC 1.92 1.75 1.21 2.07
Greuther Fürth 1.46 2.00 1.54 2.31
Arminia Bielefeld 1.85 1.31 1.08 1.46
Hertha BSC 1.00 1.07 1.92 1.33
Schalke 04 1.69 1.00 1.15 0.77
Bochum 1.62 1.15 1.15 1.38
Magdeburg 1.23 2.00 1.54 1.77
Nürnberg 1.54 1.15 1.08 1.69
Holstein Kiel 1.23 1.23 1.15 1.85
Preußen Münster 1.38 1.46 0.92 1.92
Eintracht Braunschweig 1.14 1.64 1.08 1.67
Fortuna Düsseldorf 1.00 1.31 0.85 1.38

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
2026-03-20 2. Bundesliga Hannover 96 Eintracht Braunschweig 2 1
2026-03-20 2. Bundesliga Karlsruher SC Greuther Fürth 2 2
2026-03-21 2. Bundesliga Nürnberg Kaiserslautern 2 1
2026-03-21 2. Bundesliga Elversberg Arminia Bielefeld 2 1
2026-03-21 2. Bundesliga Paderborn Dynamo Dresden 2 1
2026-03-21 2. Bundesliga Darmstadt 98 Schalke 04 1 1
2026-03-22 2. Bundesliga Preußen Münster Magdeburg 2 2
2026-03-22 2. Bundesliga Fortuna Düsseldorf Hertha BSC 2 1
2026-03-22 2. Bundesliga Bochum Holstein Kiel 2 1


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