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
Migliore scelta
GOL DI ENTRAMBE
60%
Risultato esatto
Eccellente
1-1
11%
7.50
Eccellente
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%
Combinata
5 selezioni
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
FSV Mainz 0528 giocatori
52.2/ 99Medio
Migliori
1Fabio GruberDEF75
2Nelson WeiperFWD75
3Andreas Hanche-OlsenDEF69
Werder Bremen34 giocatori
52.1/ 99Medio
Migliori
1Maximilian WöberDEF93
2Niclas Füllkrug FWD85
3Patrice CovicMID72
Classifiche giocatori
Cecchini
Maggior minaccia di gol
1
Nelson WeiperFSV Mainz 05
82
2
Niclas Füllkrug Werder Bremen
80
3
Paul Bright Max ErevbenagieWerder Bremen
68
4
Sheraldo BeckerFSV Mainz 05
65
5
Phillip TietzFSV Mainz 05
61
Muro
Migliori difensori
1
Maximilian WöberWerder Bremen
99
2
Andreas Hanche-OlsenFSV Mainz 05
82
3
Stefan BellFSV Mainz 05
82
4
Julián MalatiniWerder Bremen
74
5
Niklas StarkWerder Bremen
73
Controllo
Migliori registi
1
Nadiem AmiriFSV Mainz 05
82
2
Otto RuoppiFSV Mainz 05
65
3
Romano SchmidWerder Bremen
62
4
Kaishu SanoFSV Mainz 05
59
5
Patrice CovicWerder Bremen
59
Cattivi ragazzi
Più propensi ai cartellini
1
Niklas StarkWerder Bremen
1
Aggressività 62
2
Keke ToppWerder Bremen
1
Aggressività 95
3
Amos PieperWerder Bremen
2
Aggressività 47
4
Eric MartelFSV Mainz 05
3
Aggressività 74
5
Sheraldo BeckerFSV Mainz 05
3
Aggressività 35
Classifica potenza
Più forti in assoluto
1
Maximilian WöberWerder Bremen
93
2
Niclas Füllkrug Werder Bremen
85
3
Fabio GruberFSV Mainz 05
75
4
Nelson WeiperFSV Mainz 05
75
5
Patrice CovicWerder Bremen
72
Domande frequenti
Our Poisson model calculates the probability of every possible scoreline for FSV Mainz 05 vs 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 FSV Mainz 05 vs 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 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 FSV Mainz 05 vs 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 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.