This Week's Fixtures
Bayer Leverkusen
v
VfB Stuttgart
Germany · Bundesliga
Sat 31 Oct, 14:30 UTC
Bayer Leverkusen to win
· 55% model probability
· odds 1.75
Model
Goals 3.9
Corners 11.2 (5.8H · 5.4A)
Cards 3.8
BTTS 72%
O2.5 74%
Scores
1-1 9.6%
2-1 9.3%
3-1 6.6%
Odds
Home 1.75
Draw 4.33
Away 4.00
BTTS 1.33
O2.5 1.30
FC Augsburg
v
SC Freiburg
Germany · Bundesliga
Sat 31 Oct, 14:30 UTC
Both teams to score
· 68% model probability
· odds 1.40
Model
Goals 3.4
Corners 8.6 (4.5H · 4.1A)
Cards 3.9
BTTS 68%
O2.5 66%
Scores
1-1 12.2%
2-1 8.8%
1-2 7.9%
Odds
Home 2.90
Draw 3.75
Away 2.25
BTTS 1.40
O2.5 1.44
Borussia Mönchengladbach
v
SC Paderborn 07
Germany · Bundesliga
Sat 31 Oct, 14:30 UTC
Both teams to score
· 66% model probability
· odds 1.44
Model
Goals 3.3
Corners 9.9 (4.6H · 5.3A)
Cards 3.9
BTTS 66%
O2.5 64%
Scores
1-1 13%
1-2 8.6%
2-1 8.1%
Odds
Home 2.20
Draw 3.75
Away 3.00
BTTS 1.44
O2.5 1.50
Werder Bremen
v
1899 Hoffenheim
Germany · Bundesliga
Sat 31 Oct, 14:30 UTC
Both teams to score
· 69% model probability
· odds 1.36
Model
Goals 3.5
Corners 9.3 (4.2H · 5.1A)
Cards 4.6
BTTS 69%
O2.5 68%
Scores
1-1 12.8%
2-1 8.6%
1-2 8.1%
Odds
Home 2.60
Draw 3.80
Away 2.45
BTTS 1.36
O2.5 1.40
FC Schalke 04
v
RB Leipzig
Germany · Bundesliga
Sat 31 Oct, 14:30 UTC
RB Leipzig to win
· 52% model probability
· odds 1.80
Model
Goals 3.4
Corners 10.0 (4.9H · 5.1A)
Cards 4.2
BTTS 66%
O2.5 66%
Scores
1-1 12.8%
2-1 9.4%
1-0 8.6%
Odds
Home 4.00
Draw 4.00
Away 1.80
BTTS 1.44
O2.5 1.44
Bayern München
v
Borussia Dortmund
Germany · Bundesliga
Sat 31 Oct, 17:30 UTC
Bayern München to win
· 72% model probability
· odds 1.33
Model
Goals 4.0
Corners 11.5 (6.3H · 5.3A)
Cards 3.5
BTTS 64%
O2.5 76%
Scores
2-1 9.4%
1-1 9.3%
2-0 7.2%
Odds
Home 1.33
Draw 5.75
Away 7.50
BTTS 1.44
O2.5 1.28
Union Berlin
v
1. FC Köln
Germany · Bundesliga
Sun 1 Nov, 14:30 UTC
Both teams to score
· 61% model probability
· odds 1.53
Model
BTTS 61%
O2.5 57%
Scores
1-1 13%
2-1 9.3%
1-0 8.8%
Odds
Home 2.70
Draw 3.50
Away 2.55
BTTS 1.53
O2.5 1.67
Eintracht Frankfurt
v
Hamburger SV
Germany · Bundesliga
Sun 1 Nov, 16:30 UTC
Eintracht Frankfurt to win
· 61% model probability
· odds 1.57
Model
BTTS 62%
O2.5 66%
Scores
1-1 12.7%
2-1 9.6%
1-0 9.2%
Odds
Home 1.57
Draw 4.50
Away 5.00
BTTS 1.50
O2.5 1.44
Hamburger SV
v
Borussia Mönchengladbach
Germany · Bundesliga
Fri 6 Nov, 19:30 UTC
Both teams to score
· 64% model probability
· odds 1.50
Model
BTTS 64%
O2.5 61%
Odds
Home 2.25
Draw 3.70
Away 2.80
BTTS 1.50
O2.5 1.57
Borussia Dortmund
v
SV Elversberg
Germany · Bundesliga
Sat 7 Nov, 14:30 UTC
Borussia Dortmund to win
· 74% model probability
· odds 1.27
Model
BTTS 59%
O2.5 72%
Odds
Home 1.27
Draw 5.75
Away 8.00
BTTS 1.62
O2.5 1.33
RB Leipzig
v
FC Augsburg
Germany · Bundesliga
Sat 7 Nov, 14:30 UTC
RB Leipzig to win
· 65% model probability
· odds 1.48
Model
BTTS 70%
O2.5 76%
Odds
Home 1.48
Draw 4.75
Away 5.50
BTTS 1.40
O2.5 1.28
FSV Mainz 05
v
Bayern München
Germany · Bundesliga
Sat 7 Nov, 14:30 UTC
Bayern München to win
· 65% model probability
· odds 1.42
Model
BTTS 72%
O2.5 80%
Odds
Home 5.50
Draw 5.75
Away 1.42
BTTS 1.33
O2.5 1.22
SC Paderborn 07
v
Eintracht Frankfurt
Germany · Bundesliga
Sat 7 Nov, 14:30 UTC
Both teams to score
· 68% model probability
· odds 1.40
Model
BTTS 68%
O2.5 67%
Odds
Home 3.00
Draw 3.80
Away 2.10
BTTS 1.40
O2.5 1.44
VfB Stuttgart
v
Werder Bremen
Germany · Bundesliga
Sat 7 Nov, 17:30 UTC
VfB Stuttgart to win
· 64% model probability
· odds 1.48
Model
BTTS 66%
O2.5 72%
Odds
Home 1.48
Draw 4.75
Away 5.25
BTTS 1.44
O2.5 1.33
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.