Bundesliga Predictions

This Week's Fixtures

Bayern München v Union Berlin

Germany · Bundesliga Fri 18 Sep, 18:30 UTC

Bayern München to win · 92% model probability · odds 1.07

Model BTTS 50% O2.5 85%

Odds Home 1.07 Draw 13.00 Away 21.00 BTTS 1.75 O2.5 1.14

Eintracht Frankfurt v SC Freiburg

Germany · Bundesliga Sat 19 Sep, 13:30 UTC

Both teams to score · 67% model probability · odds 1.40

Model BTTS 67% O2.5 66%

Odds Home 2.25 Draw 3.70 Away 2.80 BTTS 1.40 O2.5 1.44

Hamburger SV v 1. FC Köln

Germany · Bundesliga Sat 19 Sep, 13:30 UTC

Both teams to score · 64% model probability · odds 1.53

Model BTTS 64% O2.5 61%

Odds Home 2.62 Draw 3.70 Away 2.40 BTTS 1.53 O2.5 1.57

Werder Bremen v FC Augsburg

Germany · Bundesliga Sat 19 Sep, 13:30 UTC

Both teams to score · 68% model probability · odds 1.40

Model BTTS 68% O2.5 67%

Odds Home 2.38 Draw 3.70 Away 2.70 BTTS 1.40 O2.5 1.44

Borussia Mönchengladbach v FSV Mainz 05

Germany · Bundesliga Sat 19 Sep, 13:30 UTC

Both teams to score · 65% model probability · odds 1.44

Model BTTS 65% O2.5 63%

Odds Home 2.90 Draw 3.70 Away 2.20 BTTS 1.44 O2.5 1.53

VfB Stuttgart v Borussia Dortmund

Germany · Bundesliga Sat 19 Sep, 16:30 UTC

Both teams to score · 69% model probability · odds 1.36

Model BTTS 69% O2.5 68%

Odds Home 2.20 Draw 4.00 Away 2.75 BTTS 1.36 O2.5 1.40

Bayer Leverkusen v RB Leipzig

Germany · Bundesliga Sun 20 Sep, 13:30 UTC

Both teams to score · 70% model probability · odds 1.36

Model BTTS 70% O2.5 71%

Odds Home 1.90 Draw 4.10 Away 3.40 BTTS 1.36 O2.5 1.36

FC Schalke 04 v SV Elversberg

Germany · Bundesliga Sun 20 Sep, 15:30 UTC

Both teams to score · 60% model probability · odds 1.57

Model BTTS 60% O2.5 58%

Odds Home 2.00 Draw 3.60 Away 3.50 BTTS 1.57 O2.5 1.62

SC Paderborn 07 v 1899 Hoffenheim

Germany · Bundesliga Sun 20 Sep, 17:30 UTC

1899 Hoffenheim to win · 56% model probability · odds 1.65

Model BTTS 66% O2.5 68%

Odds Home 4.50 Draw 4.20 Away 1.65 BTTS 1.44 O2.5 1.44

Current Table

#TeamPWDLGDPtsForm
1 SC Freiburg 3 3 0 0 9 9 WWW
2 Borussia Dortmund 3 3 0 0 6 9 WWW
3 FC Augsburg 3 2 1 0 6 7 DWW
4 Bayern München 3 2 1 0 5 7 WDW
5 RB Leipzig 3 2 0 1 6 6 WLW
6 SV Elversberg 3 2 0 1 1 6 LWW
7 Bayer Leverkusen 3 1 1 1 3 4 DWL
8 FSV Mainz 05 3 1 1 1 3 4 LWD
9 Eintracht Frankfurt 3 1 1 1 -1 4 WLD
10 Werder Bremen 3 1 1 1 -1 4 DWL
11 FC Schalke 04 3 1 1 1 -1 4 WDL
12 1. FC Köln 3 1 1 1 -2 4 DLW
13 1899 Hoffenheim 3 1 0 2 -1 3 WLL
14 VfB Stuttgart 3 1 0 2 -2 3 LWL
15 SC Paderborn 07 3 0 1 2 -4 1 LLD
16 Union Berlin 3 0 1 2 -6 1 LLD
17 Borussia Mönchengladbach 3 0 0 3 -9 0 LLL
18 Hamburger SV 3 0 0 3 -12 0 LLL

Betting the Bundesliga in 2026/27

The Bundesliga is the highest-scoring of Europe's big five leagues, and has been for most of the past decade. Seasons regularly average above 3.1 goals per game — a level the Premier League only occasionally touches — driven by a league-wide culture of aggressive pressing, quick transitions and, frankly, defending that prioritises winning the ball over protecting the box. For a goals-based model, Germany is the most natural fit of any league we cover.

That scoring profile shapes where the value lives. Overs, both teams to score and high correct scores all carry structurally higher probabilities here than the same markets in Italy or France, and bookmakers know it — but the lines still anchor toward pan-European norms often enough that the model finds regular work on over 2.5 and BTTS. The draw rate, meanwhile, is the lowest of the big leagues in most seasons, which makes the draw a rare selection here and match-result prices a little more decisive.

Two structural quirks matter. First, it is an 18-team league: 34 rounds, fewer fixtures, and a winter break that genuinely resets form — teams come out of January differently than they went in, and the model widens its uncertainty for the first rounds after the restart just as it does in August. Second, the top of the division is historically top-heavy. Heavy favourites at very short prices are common, and as everywhere, we let the probability-versus-price test decide rather than the reputation.

How the model handles it

The model's goal-expectancy approach was built for exactly this environment: it estimates how many goals each side should score against this specific opponent, then prices every market from that distribution. In a league where the honest answer is often "plenty", the interesting question becomes which side of 2.5 or 3.5 the true number sits on — and those lines are where most Bundesliga selections appear.

Early-season ratings lean on 2025/26 data until around six rounds are played, with promoted clubs from the 2. Bundesliga carrying the widest uncertainty. Every selection is archived at kickoff and settled at publication odds; the complete record is on the model results page.