Both sides have a clear route to goal: Venezia’s home threat meets Udinese’s solid attack, while neither defence looks dependable. Venezia may be struggling to finish, but their leaky back line gives Udinese openings—and Udinese’s own defensive frailties should keep the hosts knocking on the door. Both teams to score looks the most natural outcome.
Both Teams to ScoreYes
Best Pick
Under 2.5
54%
Correct Score
Top
1-1
12.7%
6.50
Top
0-1
10.4%
12.00
1-0
9.7%
9.00
1-2
8.3%
12.00
0-0
7.9%
12.00
2-1
7.8%
9.00
0-2
6.8%
17.00
2-0
6%
11.00
135%
2.35
X27%
3.30
239%
3.00TOP
1X62%
X266%
1274%
Combined Bet Builder
3 legs
With both defenses looking vulnerable, Venezia’s home push and Udinese’s sharper attack should give each side a route to the net. Their combined threat points to over two and a half goals, while sustained pressure at both ends should keep corners flowing beyond the eight-and-a-half mark. Both teams to score looks the natural fit.
1Both Teams to ScoreYes
2Match GoalsOver 2.5
3Corners Over/UnderOver 8.5
Confirmed XI3-5-2
1
Stanković
25
Halhal
2
Moreno
15
Jesus
18
Hainaut
19
Sohm
6
Busio
71
Pérez
70
Mazzocchi
10
Yeboah
45
Adams
Impact Player Hot Head
Venezia25 players
47.7/ 99Average
Top Rated
1Albion RrahmaniFWD74
2Armel Bella-KotchapDEF71
3Akor AdamsFWD70
Udinese Calcio36 players
49.4/ 99Average
Top Rated
1Idrissa GueyeFWD83
2Oumar SoletDEF70
3Sandi LovrićMID70
Player Rankings
Snipers
Top goal threats
1
Idrissa GueyeUdinese Calcio
99
2
Albion RrahmaniVenezia
79
3
Akor AdamsVenezia
68
4
John YeboahVenezia
65
5
Vakoun BayoUdinese Calcio
56
Wall
Top defenders
1
Thomas KristensenUdinese Calcio
76
2
Armel Bella-KotchapVenezia
73
3
Christian KabaseleUdinese Calcio
71
4
Matías MorenoVenezia
68
5
Saba GoglichidzeUdinese Calcio
62
Control
Top playmakers
1
Kike PérezVenezia
71
2
Sandi LovrićUdinese Calcio
63
3
Matteo Dagasso Venezia
57
4
Abdoulaye CamaraUdinese Calcio
57
5
Giorgi ChakvetadzeUdinese Calcio
52
Bad Boys
Most likely to get booked
1
Joël SchingtienneVenezia
1
Aggression 45
2
Matías MorenoVenezia
1
Aggression 43
3
Nicolò ZanioloUdinese Calcio
1
Aggression 70
4
Branimir MlacicUdinese Calcio
9
Aggression 68
5
Juan JesusVenezia
10
Aggression 73
Power Rankings
Strongest overall
1
Idrissa GueyeUdinese Calcio
83
2
Albion RrahmaniVenezia
74
3
Armel Bella-KotchapVenezia
71
4
Akor AdamsVenezia
70
5
Oumar SoletUdinese Calcio
70
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Venezia vs Udinese Calcio 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 Venezia vs Udinese Calcio 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 Venezia 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 Venezia vs Udinese Calcio 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 Venezia 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.