Leverkusen arrive full of confidence in second place, with an attack rated 27% above average and the quality to put OFI’s vulnerable defense under pressure. OFI’s own attack may be modest, but its back line is 11% weaker than average, offering the visitors clear openings. With Leverkusen carrying momentum and goals in reach, Over 2.5 appears the most logical outcome.
Match GoalsOver 2.5
Best Pick
BTTS
55%
Correct Score
Top
1-1
12.2%
13.00
Top
1-0
9.4%
34.00
2-1
8.7%
29.00
0-1
8.5%
11.00
1-2
7.9%
9.50
2-0
6.7%
51.00
0-0
6.6%
26.00
2-2
5.6%
21.00
140%
12.00TOP
X26%
7.00
234%
1.20
1X66%
X260%
1274%
Combined Bet Builder
5 legs
Leverkusen’s 2.58 xG and OFI’s defense, 13% weaker than average, point to a high-scoring contest; OFI’s 0.76 xG and 0.77 first-half xG offer a route to both teams to score and an early goal. Their combined 10.22 expected corners supports over 8.5, while Leverkusen’s attacking edge makes Schick a strong anytime-scorer pick.
1Match GoalsOver 2.5
2Both Teams to ScoreYes
3First Half Over/UnderOver 0.5
4Corners Over/UnderOver 8.5
5GoalscorersAnytime
Confirmed XI3-4-3
13
Katsikas
15
Poungouras
43
Nikolaou
2
Krizmanic
24
Dickmann
14
Androutsos
41
Bouchalakis
3
Athanasiou
46
Theodosoulakis
19
Kodro
18
Nuss
Impact Player Hot Head
OFI26 players
46.7/ 99Average
Top Rated
1Kresimir KrizmanicDEF76
2Nikolaos AthanasiouDEF69
3Nikolaos ChristogeorgosGK61
Bayer 04 Leverkusen28 players
51.9/ 99Average
Top Rated
1Ezequiel FernándezMID82
2Christian KofaneFWD82
3Patrik SchickFWD81
Player Rankings
Snipers
Top goal threats
1
Victor BonifaceBayer 04 Leverkusen
97
2
Patrik SchickBayer 04 Leverkusen
93
3
Christian KofaneBayer 04 Leverkusen
76
4
Nathan TellaBayer 04 Leverkusen
60
5
Eliesse Ben SeghirBayer 04 Leverkusen
57
Wall
Top defenders
1
Kresimir KrizmanicOFI
71
2
Christos Sielis OFI
67
3
Loïc Badé Bayer 04 Leverkusen
62
4
Dimitrios NikolaouOFI
59
5
Borja González OFI
50
Control
Top playmakers
1
Aleix GarcíaBayer 04 Leverkusen
99
2
Exequiel Palacios Bayer 04 Leverkusen
99
3
Ezequiel FernándezBayer 04 Leverkusen
75
4
Andreas BouchalakisOFI
66
5
Ibrahim MazaBayer 04 Leverkusen
63
Bad Boys
Most likely to get booked
1
Giannis ApostolakisOFI
1
Aggression 48
2
Aleix GarcíaBayer 04 Leverkusen
1
Aggression 23
3
Exequiel Palacios Bayer 04 Leverkusen
1
Aggression 38
4
Nikolaos MarinakisOFI
10
Aggression 37
5
Martin Terrier Bayer 04 Leverkusen
13
Aggression 34
Power Rankings
Strongest overall
1
Ezequiel FernándezBayer 04 Leverkusen
82
2
Christian KofaneBayer 04 Leverkusen
82
3
Patrik SchickBayer 04 Leverkusen
81
4
Victor BonifaceBayer 04 Leverkusen
78
5
Kresimir KrizmanicOFI
76
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for OFI 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 OFI 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 OFI 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 OFI 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 OFI 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.