Benfica’s relentless wide pressure and +70% corner-winning edge should set the tempo, while Omonia’s own +27% attacking boost gives them a route to contribute. Both defences are strong at limiting corners, but sustained Europa League pressure and the need to make every attack count point toward enough blocked crosses and clearances to carry the match over 8.5.
Corners Over/UnderOver 8.5
Best Pick
BTTS
57%
Correct Score
Top
1-1
11.7%
9.00
Top
0-1
9%
8.50
1-2
8.9%
8.50
1-0
7.7%
23.00
2-1
7.7%
23.00
0-2
6.8%
7.50
0-0
5.9%
15.00
2-2
5.9%
17.00
133%
7.50
X25%
4.75
242%
1.38TOP
1X58%
X267%
1275%
Combined Bet Builder
3 legs
Benfica’s explosive attack should keep Omonia’s sturdy defence under pressure, but the hosts have enough bite to answer and get both teams to score. With chances building at both ends and Benfica likely driving the corner count, this has the feel of an open, end-to-end night that can clear over two and a half goals and over eight and a half corners.
1Both Teams to ScoreYes
2Match GoalsOver 2.5
3Corners Over/UnderOver 8.5
Confirmed XI4-5-1
40
Fabiano
93
Duverne
5
Coulibaly
37
Satka
29
Balkovec
14
Maric
74
Andreou
11
Costa
22
Tankovic
7
Montnor
99
Diony
Impact Player Hot Head
Omonia Nicosia31 players
49.8/ 99Average
Top Rated
1FabianoGK71
2Stefan SimicDEF69
3Nikolas PanagiotouDEF68
SL Benfica FC35 players
53.7/ 99Average
Top Rated
1Franjo IvanovićFWD97
2Manu Silva MID87
3AnísioFWD86
Player Rankings
Snipers
Top goal threats
1
AnísioSL Benfica FC
99
2
Franjo IvanovićSL Benfica FC
99
3
Vangelis PavlidisSL Benfica FC
83
4
Dodi LukébakioSL Benfica FC
75
5
Jhon Durán SL Benfica FC
74
Wall
Top defenders
1
Senou CoulibalyOmonia Nicosia
83
2
Fotis KitsosOmonia Nicosia
68
3
Nikolas PanagiotouOmonia Nicosia
68
4
Andreas ChristouOmonia Nicosia
63
5
Lubomir SatkaOmonia Nicosia
60
Control
Top playmakers
1
Fredrik AursnesSL Benfica FC
84
2
Diogo Ferreira PriosteSL Benfica FC
82
3
Manu Silva SL Benfica FC
80
4
Enzo BarrenecheaSL Benfica FC
73
5
João PalhinhaSL Benfica FC
69
Bad Boys
Most likely to get booked
1
Florin TănaseOmonia Nicosia
1
Aggression 41
2
Tomás AraújoSL Benfica FC
1
Aggression 37
3
Gianluca PrestianniSL Benfica FC
1
Aggression 49
4
Senou CoulibalyOmonia Nicosia
15
Aggression 42
5
João PalhinhaSL Benfica FC
19
Aggression 69
Power Rankings
Strongest overall
1
Franjo IvanovićSL Benfica FC
97
2
Manu Silva SL Benfica FC
87
3
AnísioSL Benfica FC
86
4
Diogo Ferreira PriosteSL Benfica FC
77
5
João RegoSL Benfica FC
73
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Omonia Nicosia vs SL Benfica 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 Omonia Nicosia vs SL Benfica 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 Omonia Nicosia 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 Omonia Nicosia vs SL Benfica 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 Omonia Nicosia 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.