Hoffenheim’s lively home attack meets a Leverkusen side carrying even greater scoring threat, while both teams’ forward momentum points toward an open contest. With chances likely at both ends, the match should push beyond the goal line.
Match GoalsOver 2.5
En iyi tahmin
Üst 2.5
64%
Doğru skor
Mükemmel
1-1
9.7%
9.00
Mükemmel
2-1
9.5%
12.00
1-0
7.2%
19.00
2-0
7%
21.00
1-2
6.6%
10.00
2-2
6.4%
10.00
3-1
6.1%
21.00
0-1
5%
17.00
151%
2.88TOP
X22%
3.75
227%
2.30
1X73%
X249%
1278%
Kombine
5 seçim
Hoffenheim’s 1.43 xG and Leverkusen’s 2.08 point to an open contest, making over 2.5 goals and both teams to score compelling. Hoffenheim’s 1.09 first-half xG supports an early goal, while combined expected corners of 9.99 favour over 8.5. With Leverkusen’s strong scoring outlook, Patrik Schick appears a logical anytime scorer.
1Match GoalsOver 2.5
2Both Teams to ScoreYes
3First Half Over/UnderOver 0.5
4Corners Over/UnderOver 8.5
5GoalscorersAnytime
Confirmed XI4-3-3
1
Baumann
34
Coufal
2
Hranac
28
Machida
39
Rots
22
Prass
7
Avdullahu
20
Conté
11
Asllani
10
Hlozek
19
Lemperle
Impact Player Hot Head
TSG Hoffenheim23 oyuncu
54.7/ 99Orta
En İyiler
1Koki MachidaDEF76
2Wouter BurgerMID70
3Ozan Kabak DEF65
Bayer 04 Leverkusen28 oyuncu
51.8/ 99Orta
En İyiler
1Ezequiel FernándezMID80
2Christian KofaneFWD79
3Victor BonifaceFWD78
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
1
Victor BonifaceBayer 04 Leverkusen
95
2
Patrik SchickBayer 04 Leverkusen
87
3
Christian KofaneBayer 04 Leverkusen
71
4
Nathan TellaBayer 04 Leverkusen
56
5
Eliesse Ben SeghirBayer 04 Leverkusen
54
Duvar
En iyi savunmacılar
1
Ozan Kabak TSG Hoffenheim
71
2
Loïc Badé Bayer 04 Leverkusen
65
3
Arthur ChavesTSG Hoffenheim
59
4
Koki MachidaTSG Hoffenheim
59
5
Robin HranacTSG Hoffenheim
57
Kontrol
En iyi oyun kurucular
1
Exequiel Palacios Bayer 04 Leverkusen
99
2
Aleix GarcíaBayer 04 Leverkusen
98
3
Wouter BurgerTSG Hoffenheim
77
4
Ezequiel FernándezBayer 04 Leverkusen
70
5
Leon AvdullahuTSG Hoffenheim
65
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Aleix GarcíaBayer 04 Leverkusen
1
Agresiflik 23
2
Exequiel Palacios Bayer 04 Leverkusen
1
Agresiflik 38
3
Adam DaghimTSG Hoffenheim
8
Agresiflik 82
4
Max MoerstedtTSG Hoffenheim
8
Agresiflik 99
5
Andrej KramaricTSG Hoffenheim
13
Agresiflik 9
Güç sıralaması
Genel olarak en güçlüler
1
Ezequiel FernándezBayer 04 Leverkusen
80
2
Christian KofaneBayer 04 Leverkusen
79
3
Victor BonifaceBayer 04 Leverkusen
78
4
Patrik SchickBayer 04 Leverkusen
77
5
Koki MachidaTSG Hoffenheim
76
Sıkça Sorulan Sorular
Our Poisson model calculates the probability of every possible scoreline for TSG Hoffenheim vs Bayer 04 Leverkusen 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 TSG Hoffenheim vs Bayer 04 Leverkusen 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 TSG Hoffenheim 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 TSG Hoffenheim vs Bayer 04 Leverkusen 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 TSG Hoffenheim 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.