AI Football Tips: 2. Bundesliga round 30

The wait is over! Round 30 of the magnificent 2. Bundesliga is upon us, and the excitement for high-stakes **football action** is palpable. Did you know the 2. Bundesliga boasts the highest average attendance in Europe? This league is where legends are made and upsets redefine the title race.

At AI-Odds.com, we’ve tasked our state-of-the-art machine learning models to dissect every variable for this weekend’s fixtures in Round 30. Get ready to leverage the power of prediction with our full breakdown of AI-generated statistics and probabilities.

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 30. Asian refers to the recomended asian handicap line.

Date League Home Team Away Team Prediction Asian
2026-04-17 2. Bundesliga Holstein Kiel Kaiserslautern H 1X2
2026-04-17 2. Bundesliga Elversberg Karlsruher SC H No bet
2026-04-18 2. Bundesliga Magdeburg Fortuna Düsseldorf H 1X2
2026-04-18 2. Bundesliga Arminia Bielefeld Nürnberg H 1X2
2026-04-18 2. Bundesliga Dynamo Dresden Bochum H -0.25
2026-04-18 2. Bundesliga Hannover 96 Paderborn H -0.25
2026-04-19 2. Bundesliga Eintracht Braunschweig Hertha BSC H +0.25
2026-04-19 2. Bundesliga Schalke 04 Preußen Münster H 1X2
2026-04-19 2. Bundesliga Greuther Fürth Darmstadt 98 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
2026-04-17 Holstein Kiel Kaiserslautern 57 43 2.00 2.00
2026-04-17 Elversberg Karlsruher SC 50 40 2.22 1.82
2026-04-18 Magdeburg Fortuna Düsseldorf 50 50 2.00 2.00
2026-04-18 Arminia Bielefeld Nürnberg 64 71 1.47 3.11
2026-04-18 Dynamo Dresden Bochum 71 71 1.40 3.50
2026-04-18 Hannover 96 Paderborn 50 50 2.00 2.00
2026-04-19 Eintracht Braunschweig Hertha BSC 60 50 1.82 2.22
2026-04-19 Schalke 04 Preußen Münster 50 57 1.87 2.15
2026-04-19 Greuther Fürth Darmstadt 98 50 71 1.65 2.55

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
2026-04-17 Holstein Kiel Kaiserslautern 2.58 2.10 1.91
2026-04-17 Elversberg Karlsruher SC 2.88 1.82 2.22
2026-04-18 Magdeburg Fortuna Düsseldorf 2.82 1.87 2.15
2026-04-18 Arminia Bielefeld Nürnberg 2.92 1.79 2.27
2026-04-18 Dynamo Dresden Bochum 3.00 1.73 2.36
2026-04-18 Hannover 96 Paderborn 2.43 2.28 1.78
2026-04-19 Eintracht Braunschweig Hertha BSC 3.04 1.71 2.41
2026-04-19 Schalke 04 Preußen Münster 2.60 2.08 1.93
2026-04-19 Greuther Fürth Darmstadt 98 3.22 1.60 2.66

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
Paderborn 2.07 1.47 1.43 0.86
Darmstadt 98 1.93 0.80 1.50 1.57
Kaiserslautern 2.20 1.13 1.14 1.71
Elversberg 1.71 0.93 1.67 1.27
Hannover 96 1.43 1.14 1.93 1.27
Dynamo Dresden 1.79 1.50 1.47 1.73
Karlsruher SC 2.14 1.64 1.13 2.00
Magdeburg 1.43 1.93 1.73 1.87
Hertha BSC 0.93 1.07 2.07 1.29
Bochum 1.80 1.27 1.14 1.57
Arminia Bielefeld 1.86 1.29 1.07 1.73
Schalke 04 1.64 0.93 1.20 0.80
Greuther Fürth 1.36 2.00 1.40 2.20
Nürnberg 1.53 1.13 1.07 1.64
Holstein Kiel 1.14 1.14 1.33 1.80
Eintracht Braunschweig 1.13 1.60 1.00 1.79
Preußen Münster 1.27 1.47 0.86 1.79
Fortuna Düsseldorf 1.07 1.60 0.79 1.50

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
2026-04-17 2. Bundesliga Holstein Kiel Kaiserslautern 2 1
2026-04-17 2. Bundesliga Elversberg Karlsruher SC 2 1
2026-04-18 2. Bundesliga Magdeburg Fortuna Düsseldorf 2 1
2026-04-18 2. Bundesliga Arminia Bielefeld Nürnberg 2 1
2026-04-18 2. Bundesliga Dynamo Dresden Bochum 2 1
2026-04-18 2. Bundesliga Hannover 96 Paderborn 2 1
2026-04-19 2. Bundesliga Eintracht Braunschweig Hertha BSC 1 1
2026-04-19 2. Bundesliga Schalke 04 Preußen Münster 2 1
2026-04-19 2. Bundesliga Greuther Fürth Darmstadt 98 1 2


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