Over 8.5 corners looks the logical call: Bayern’s attack is a constant corner threat, boasting +54% corner-winning power, while Arsenal also win corners often. Both defenses are stronger than average at limiting concessions, but Bayern’s relentless pressure and Arsenal’s ability to attack should keep the game stretched and generate enough set-piece action to clear the line.
Corners Over/UnderOver 8.5
En iyi tahmin
Üst 2.5
76%
Doğru skor
Mükemmel
2-1
8.7%
9.00
Mükemmel
3-1
8.1%
15.00
2-0
7.1%
13.00
3-0
6.7%
21.00
1-1
6.2%
7.50
4-1
5.7%
29.00
2-2
5.3%
11.00
1-0
5.1%
12.00
170%
2.20TOP
X16%
3.75
214%
3.00
1X86%
X230%
1284%
Kombine
3 seçim
Bayern’s 1.96 xG and explosive attack should drive the scoring, while Arsenal’s 1.34 xG gives both teams to score a strong foundation. Their combined 3.30 xG supports over 2.5 goals, and 8.48 expected corners sits just below the line; Bayern’s constant corner threat should help push the total over 8.5.
1Match GoalsOver 2.5
2Both Teams to ScoreYes
3Corners Over/UnderOver 8.5
Confirmed XI4-5-1
40
Urbig
27
Laimer
2
Upamecano
4
Tah
19
Davies
8
Bischof
45
Pavlovic
42
Karl
34
Saibari
14
Díaz
9
Kane
Impact Player Hot Head
Bayern München32 oyuncu
52.2/ 99Orta
En İyiler
1Harry Kane FWD89
2Aleksandar PavlovicMID87
3Tom BischofMID84
Arsenal FC25 oyuncu
54.2/ 99Orta
En İyiler
1Declan RiceMID74
2Bruno GuimarãesMID72
3Gabriel Jesus FWD70
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
1
Harry Kane Bayern München
99
2
Gabriel Jesus Arsenal FC
99
3
Bukayo Saka Arsenal FC
68
4
Gabriel MartinelliArsenal FC
68
5
Luis DíazBayern München
65
Duvar
En iyi savunmacılar
1
Deniz OfliBayern München
56
2
Gabriel MagalhãesArsenal FC
56
3
Jonathan TahBayern München
47
4
Min-jae KimBayern München
46
5
Piero HincapiéArsenal FC
45
Kontrol
En iyi oyun kurucular
1
Aleksandar PavlovicBayern München
99
2
Joshua Kimmich Bayern München
99
3
Tom BischofBayern München
99
4
Declan RiceArsenal FC
91
5
Bruno GuimarãesArsenal FC
80
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Gabriel Jesus Arsenal FC
1
Agresiflik 64
2
Gabriel MartinelliArsenal FC
1
Agresiflik 52
3
Jonathan TahBayern München
10
Agresiflik 42
4
Myles Lewis-SkellyArsenal FC
19
Agresiflik 47
5
Joshua Kimmich Bayern München
25
Agresiflik 25
Güç sıralaması
Genel olarak en güçlüler
1
Harry Kane Bayern München
89
2
Aleksandar PavlovicBayern München
87
3
Tom BischofBayern München
84
4
Declan RiceArsenal FC
74
5
Luis DíazBayern München
72
Sıkça Sorulan Sorular
Our Poisson model calculates the probability of every possible scoreline for Bayern München vs Arsenal FC 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 Bayern München vs Arsenal FC 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 Bayern München 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 Bayern München vs Arsenal FC 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 Bayern München 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.