AI Football Tips: 2. Bundesliga round 26

The wait is over! Round 26 of the electrifying 2. Bundesliga is here — and the football action is hotter than ever. Did you know the 2. Bundesliga hosts the highest average attendance of any professional league in Europe? This is where underdogs rise, and every game fuels the fire of the title race.

At AI-Odds.com, our cutting-edge AI models are analyzing every metric for this weekend’s 2. Bundesliga fixtures. Dive into the AI-generated statistics and unlock the hidden patterns behind the football 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 26. Asian refers to the recomended asian handicap line.

Date League Home Team Away Team Prediction Asian
2026-03-13 2. Bundesliga Magdeburg Darmstadt 98 H -0.25
2026-03-13 2. Bundesliga Greuther Fürth Elversberg A 1X2
2026-03-14 2. Bundesliga Holstein Kiel Nürnberg H -0.25
2026-03-14 2. Bundesliga Arminia Bielefeld Paderborn H 0
2026-03-14 2. Bundesliga Eintracht Braunschweig Fortuna Düsseldorf H +0.25
2026-03-14 2. Bundesliga Hertha BSC Bochum H 1X2
2026-03-15 2. Bundesliga Kaiserslautern Karlsruher SC H 1X2
2026-03-15 2. Bundesliga Dynamo Dresden Preußen Münster H 1X2
2026-03-15 2. Bundesliga Schalke 04 Hannover 96 H -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
2026-03-13 Magdeburg Darmstadt 98 42 67 1.85 2.18
2026-03-13 Greuther Fürth Elversberg 58 62 1.67 2.50
2026-03-14 Holstein Kiel Nürnberg 58 67 1.60 2.67
2026-03-14 Arminia Bielefeld Paderborn 58 50 1.85 2.18
2026-03-14 Eintracht Braunschweig Fortuna Düsseldorf 62 58 1.67 2.50
2026-03-14 Hertha BSC Bochum 38 67 1.90 2.11
2026-03-15 Kaiserslautern Karlsruher SC 77 46 1.63 2.60
2026-03-15 Dynamo Dresden Preußen Münster 83 67 1.33 4.00
2026-03-15 Schalke 04 Hannover 96 50 69 1.68 2.48

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
2026-03-13 Magdeburg Darmstadt 98 3.25 1.59 2.71
2026-03-13 Greuther Fürth Elversberg 3.33 1.55 2.83
2026-03-14 Holstein Kiel Nürnberg 2.42 2.30 1.77
2026-03-14 Arminia Bielefeld Paderborn 2.62 2.06 1.95
2026-03-14 Eintracht Braunschweig Fortuna Düsseldorf 2.62 2.06 1.95
2026-03-14 Hertha BSC Bochum 2.33 2.43 1.70
2026-03-15 Kaiserslautern Karlsruher SC 3.34 1.54 2.85
2026-03-15 Dynamo Dresden Preußen Münster 2.92 1.79 2.27
2026-03-15 Schalke 04 Hannover 96 2.90 1.80 2.24

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 1.58 1.58
Elversberg 1.67 0.83 1.85 1.23
Hannover 96 1.50 1.25 1.92 1.31
Kaiserslautern 2.08 1.31 1.25 1.75
Paderborn 1.92 1.38 1.33 0.83
Karlsruher SC 1.92 1.75 1.31 2.00
Dynamo Dresden 1.58 1.67 1.46 1.85
Greuther Fürth 1.42 2.17 1.54 2.31
Arminia Bielefeld 1.83 1.25 1.08 1.46
Hertha BSC 1.00 1.08 1.92 1.33
Bochum 1.62 1.15 1.17 1.42
Magdeburg 1.25 2.08 1.54 1.77
Schalke 04 1.67 0.92 1.15 0.77
Nürnberg 1.54 1.15 0.92 1.67
Preußen Münster 1.38 1.46 1.00 1.58
Holstein Kiel 1.17 1.08 1.15 1.85
Eintracht Braunschweig 1.15 1.77 1.08 1.67
Fortuna Düsseldorf 1.00 1.31 0.92 1.42

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
2026-03-13 2. Bundesliga Magdeburg Darmstadt 98 2 1
2026-03-13 2. Bundesliga Greuther Fürth Elversberg 1 2
2026-03-14 2. Bundesliga Holstein Kiel Nürnberg 1 1
2026-03-14 2. Bundesliga Arminia Bielefeld Paderborn 1 1
2026-03-14 2. Bundesliga Eintracht Braunschweig Fortuna Düsseldorf 1 2
2026-03-14 2. Bundesliga Hertha BSC Bochum 2 1
2026-03-15 2. Bundesliga Kaiserslautern Karlsruher SC 2 1
2026-03-15 2. Bundesliga Dynamo Dresden Preußen Münster 2 1
2026-03-15 2. Bundesliga Schalke 04 Hannover 96 2 1


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