Mainz’s home threat should keep Bremen under pressure, while their leaky back line offers the visitors a route into the contest. Bremen’s defence may be solid, but sustained pressure and a lively, open exchange could crack it; with both sides able to contribute, the match appears primed to clear the goals line.
Match GoalsOver 2.5
Best Pick
BTTS
60%
Correct Score
Top
1-1
11%
8.00
Top
2-1
9.2%
8.50
1-0
8.2%
10.00
1-2
7.4%
15.00
2-0
6.9%
10.00
0-1
6.6%
17.00
2-2
6.2%
12.00
3-1
5.1%
12.00
145%
1.73TOP
X24%
4.00
231%
4.50
1X69%
X255%
1276%
Combined Bet Builder
5 legs
Combined xG of 2.97 and 8.95 expected corners point toward an open contest, with both teams to score and over 2.5 goals well supported. First-half xG totals 1.36, making an early goal likely; Mainz’s leaky defence offers Bremen a route to reply, while Phillip Tietz anytime adds a plausible finishing angle.
1Match GoalsOver 2.5
2Both Teams to ScoreYes
3First Half Over/UnderOver 0.5
4Corners Over/UnderOver 8.5
5GoalscorersAnytime
Confirmed XI3-5-2
1
Schwolow
21
Costa
4
Posch
48
Potulski
19
Caci
7
Lee
6
Sano
10
Amiri
2
Mwene
9
Tietz
23
Becker
Impact Player Hot Head
1. FSV Mainz 0528 players
52.2/ 99Average
Top Rated
1Fabio GruberDEF75
2Nelson WeiperFWD75
3Andreas Hanche-OlsenDEF69
SV Werder Bremen34 players
52.1/ 99Average
Top Rated
1Maximilian WöberDEF93
2Niclas Füllkrug FWD85
3Patrice CovicMID72
Player Rankings
Snipers
Top goal threats
1
Nelson Weiper1. FSV Mainz 05
82
2
Niclas Füllkrug SV Werder Bremen
80
3
Paul Bright Max ErevbenagieSV Werder Bremen
68
4
Sheraldo Becker1. FSV Mainz 05
65
5
Phillip Tietz1. FSV Mainz 05
61
Wall
Top defenders
1
Maximilian WöberSV Werder Bremen
99
2
Andreas Hanche-Olsen1. FSV Mainz 05
82
3
Stefan Bell1. FSV Mainz 05
82
4
Julián MalatiniSV Werder Bremen
74
5
Niklas StarkSV Werder Bremen
73
Control
Top playmakers
1
Nadiem Amiri1. FSV Mainz 05
82
2
Otto Ruoppi1. FSV Mainz 05
65
3
Romano SchmidSV Werder Bremen
62
4
Kaishu Sano1. FSV Mainz 05
59
5
Patrice CovicSV Werder Bremen
59
Bad Boys
Most likely to get booked
1
Niklas StarkSV Werder Bremen
1
Aggression 62
2
Keke ToppSV Werder Bremen
1
Aggression 95
3
Amos PieperSV Werder Bremen
2
Aggression 47
4
Eric Martel1. FSV Mainz 05
3
Aggression 74
5
Sheraldo Becker1. FSV Mainz 05
3
Aggression 35
Power Rankings
Strongest overall
1
Maximilian WöberSV Werder Bremen
93
2
Niclas Füllkrug SV Werder Bremen
85
3
Fabio Gruber1. FSV Mainz 05
75
4
Nelson Weiper1. FSV Mainz 05
75
5
Patrice CovicSV Werder Bremen
72
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for 1. FSV Mainz 05 vs SV Werder Bremen based on each team's expected goals (xG). The top-3 most likely scorelines are shown above with their probability percentages. Even the highest-probability score rarely exceeds 12-15% chance, as football is a low-scoring sport.
The Bet Builder combines multiple selections from the 1. FSV Mainz 05 vs SV Werder Bremen match into one bet. Our AI identifies outcomes that complement each other — for example, a home win paired with over 2.5 goals and both teams to score. All selections must win for the combined bet to pay out, which means higher combined odds but also higher risk.
xG (expected goals) measures the quality of scoring chances. If 1. FSV Mainz 05 has an xG of 1.8, it means they are expected to score around 1-2 goals based on chance quality. The model uses pre-match xG to build a probability table for all possible scorelines. A team can overperform xG (score more than expected) or underperform xG (score fewer).
Yes, all predictions on ProSoccer are completely free. You can view predicted scorelines, over/under probabilities, and bet builder suggestions for 1. FSV Mainz 05 vs SV Werder Bremen without paying or registering. Odds values are revealed after a tap to keep the page compliant with search engine guidelines.
A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives 1. FSV Mainz 05 a 55% chance of winning but the odds imply only 40%, that is a value bet. Our AI highlights selections where the model probability exceeds the implied probability from the odds.
AI predictions use statistical modeling (Poisson distribution) based on historical data and pre-match metrics. They are more reliable over large samples than for any single match. No prediction is guaranteed — football has inherent unpredictability. Our model typically identifies the correct top-3 scorelines in 25-30% of matches, which is significantly better than random chance.