Momentum builds across German football as the 2026/27 Bundesliga season enters Spieltag 2 on September 4–6. With the German summer transfer window officially closed at 19:00 CET on August 31—highlighted by Borussia Dortmund restructuring after Karim Adeyemi‘s transfer to Barcelona and FC Bayern München finalizing their squad depth—teams are locked in for a high-stakes weekend of action.
Saturday’s slate on September 5 features a marquee battle at SNP Arena as TSG 1899 Hoffenheim hosts Borussia Dortmund at 15:30 CET, alongside RB Leipzig taking on Eintracht Frankfurt and 1. FC Köln meeting Bayer 04 Leverkusen. On Sunday, September 6, the ultimate highlight arrives at Veltins-Arena as FC Schalke 04 collides with FC Bayern München, while VfB Stuttgart battles SC Freiburg. Explore our AI-driven statistical predictions and match previews for this week’s full slate.
Full Time Results and Asian Handicap
In the table below you will find our AI prediccions for Bundesliga round 2. Asian refers to the recomended asian handicap line.
| Date | League | Home Team | Away Team | Prediction | Asian |
|---|---|---|---|---|---|
| 2026-09-04 | Bundesliga | Stuttgart | Köln | H | 1X2 |
| 2026-09-05 | Bundesliga | Bayer Leverkusen | Union Berlin | H | No bet |
| 2026-09-05 | Bundesliga | Hoffenheim | Borussia Dortmund | H | 0 |
| 2026-09-05 | Bundesliga | Borussia M’gladbach | Elversberg | H | 1X2 |
| 2026-09-05 | Bundesliga | Werder Bremen | RB Leipzig | A | 1X2 |
| 2026-09-05 | Bundesliga | Paderborn | Freiburg | H | +0.25 |
| 2026-09-05 | Bundesliga | Schalke 04 | Bayern München | A | No bet |
| 2026-09-06 | Bundesliga | Hamburger SV | Mainz 05 | A | -0.25 |
| 2026-09-06 | Bundesliga | Eintracht Frankfurt | Augsburg | 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 |
|---|---|---|---|---|---|---|
| 2026-09-04 | Stuttgart | Köln | 41 | 71 | 1.98 | 2.02 |
| 2026-09-05 | Bayer Leverkusen | Union Berlin | 65 | 53 | 1.52 | 2.91 |
| 2026-09-05 | Hoffenheim | Borussia Dortmund | 65 | 59 | 1.97 | 2.03 |
| 2026-09-05 | Borussia M’gladbach | Elversberg | 35 | 0 | 2.12 | 1.89 |
| 2026-09-05 | Werder Bremen | RB Leipzig | 47 | 59 | 1.79 | 2.27 |
| 2026-09-05 | Paderborn | Freiburg | 0 | 41 | 1.85 | 2.17 |
| 2026-09-05 | Schalke 04 | Bayern München | 0 | 59 | 1.53 | 2.88 |
| 2026-09-06 | Hamburger SV | Mainz 05 | 71 | 65 | 1.77 | 2.31 |
| 2026-09-06 | Eintracht Frankfurt | Augsburg | 59 | 65 | 1.57 | 2.76 |
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 | League | Home Team | Away Team | +2.5 target odds | -2.5 target odds |
|---|---|---|---|---|---|
| 2026-09-04 | Bundesliga | Stuttgart | Köln | 2.04 | 1.96 |
| 2026-09-05 | Bundesliga | Bayer Leverkusen | Union Berlin | 1.61 | 2.64 |
| 2026-09-05 | Bundesliga | Hoffenheim | Borussia Dortmund | 2.87 | 1.54 |
| 2026-09-05 | Bundesliga | Borussia M’gladbach | Elversberg | 2.97 | 1.51 |
| 2026-09-05 | Bundesliga | Werder Bremen | RB Leipzig | 1.97 | 2.03 |
| 2026-09-05 | Bundesliga | Paderborn | Freiburg | 1.83 | 2.20 |
| 2026-09-05 | Bundesliga | Schalke 04 | Bayern München | 1.40 | 3.50 |
| 2026-09-06 | Bundesliga | Hamburger SV | Mainz 05 | 1.67 | 2.50 |
| 2026-09-06 | Bundesliga | Eintracht Frankfurt | Augsburg | 1.68 | 2.48 |
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 |
|---|---|---|---|---|
| Bayern München | 4.06 | 1.11 | 3.18 | 1.00 |
| Elversberg | 3.00 | 2.00 | NaN | NaN |
| Borussia Dortmund | 2.33 | 0.89 | 1.76 | 1.06 |
| Stuttgart | 1.76 | 0.94 | 2.33 | 2.11 |
| Bayer Leverkusen | 2.24 | 1.12 | 1.78 | 1.72 |
| RB Leipzig | 2.39 | 1.11 | 1.53 | 1.59 |
| Hoffenheim | 2.06 | 1.24 | 1.78 | 1.89 |
| Eintracht Frankfurt | 1.71 | 1.59 | 1.94 | 2.28 |
| Freiburg | 2.06 | 1.28 | 1.06 | 2.06 |
| Köln | 1.83 | 1.78 | 1.12 | 1.94 |
| Augsburg | 1.56 | 1.56 | 1.18 | 1.94 |
| Union Berlin | 1.61 | 1.61 | 1.06 | 1.88 |
| Wolfsburg | 1.24 | 1.88 | 1.41 | 2.18 |
| Mainz 05 | 1.17 | 1.39 | 1.35 | 1.65 |
| Heidenheim | 1.35 | 2.18 | 1.06 | 2.06 |
| Borussia M’gladbach | 1.41 | 1.41 | 1.00 | 1.78 |
| Hamburger SV | 1.47 | 1.29 | 0.83 | 1.89 |
| Werder Bremen | 1.12 | 1.82 | 1.06 | 1.83 |
| St. Pauli | 1.00 | 1.82 | 0.71 | 1.71 |
| Schalke 04 | NaN | NaN | 0.00 | 3.00 |
| Paderborn | NaN | NaN | 0.00 | 0.00 |
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 | Home Team | Away Team | Home Score | Away Score |
|---|---|---|---|---|---|
| 2026-09-04 | Bundesliga | Stuttgart | Köln | 2 | 1 |
| 2026-09-05 | Bundesliga | Bayer Leverkusen | Union Berlin | 2 | 1 |
| 2026-09-05 | Bundesliga | Hoffenheim | Borussia Dortmund | 1 | 1 |
| 2026-09-05 | Bundesliga | Borussia M’gladbach | Elversberg | 1 | 1 |
| 2026-09-05 | Bundesliga | Werder Bremen | RB Leipzig | 1 | 2 |
| 2026-09-05 | Bundesliga | Paderborn | Freiburg | 2 | 1 |
| 2026-09-05 | Bundesliga | Schalke 04 | Bayern München | 1 | 2 |
| 2026-09-06 | Bundesliga | Hamburger SV | Mainz 05 | 1 | 2 |
| 2026-09-06 | Bundesliga | Eintracht Frankfurt | Augsburg | 2 | 1 |
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