Universitario’s stronger attack and home advantage put UCV Moquegua under sustained pressure, with the visitors’ weak scoring threat unlikely to keep the hosts quiet for long. Even against a steady back line, the hosts look poised to find openings, and once the game loosens, Over 2.5 appears the most natural outcome.
Match GoalsOver 2.5
Best Pick
Home Win
64%
Correct Score
Top
1-0
12.8%
8.50
Top
2-0
12.2%
6.00
1-1
10.1%
13.00
2-1
9.7%
11.00
3-0
7.8%
6.50
0-0
6.7%
17.00
3-1
6.2%
12.00
0-1
5.3%
34.00
164%
1.14TOP
X21%
7.00
215%
17.00
1X85%
X236%
1279%
Combined Bet Builder
3 legs
Universitario’s 2.17 xG against UCV Moquegua’s 0.46 points to a clear home edge, while their 2nd-place standing contrasts with UCV’s 16th. That projected 2.63 total goals supports Over 2.5, and Alex Valera appears a likely scorer as Universitario’s attack drives the expected win.
1Match WinnerUniversitario de Deportes
2GoalscorersAnytime
3Match GoalsOver 2.5
Confirmed XI5-2-3
25
Vargas
2
Fara
3
Riveros
4
Santamaría
24
Polo
33
Inga
10
Calcaterra
17
Concha
19
Flores
11
Rivera
20
Valera
Impact Player Hot Head
Universitario de Deportes32 players
54.6/ 99Average
Top Rated
1Jairo ConchaMID91
2Jesús CastilloMID80
3Álex ValeraFWD78
UCV Moquegua26 players
49.0/ 99Average
Top Rated
1Mathias PanizoDEF75
2Nicolás ChávezMID70
3Róger TorresMID68
Player Rankings
Snipers
Top goal threats
1
Álex ValeraUniversitario de Deportes
80
2
Lisandro AlzugarayUniversitario de Deportes
66
3
Gianluca LapadulaUniversitario de Deportes
64
4
José RiveraUniversitario de Deportes
57
5
Edgar LastreUCV Moquegua
45
Wall
Top defenders
1
Mathias PanizoUCV Moquegua
99
2
C. EncisoUCV Moquegua
84
3
Juan Diego LojasUCV Moquegua
73
4
Williams Riveros Universitario de Deportes
69
5
William RiverosUniversitario de Deportes
60
Control
Top playmakers
1
Jairo ConchaUniversitario de Deportes
97
2
Jesús CastilloUniversitario de Deportes
90
3
Piero Aldair Quispe CórdovaUniversitario de Deportes
87
4
Adrián QuirozUniversitario de Deportes
81
5
Horacio CalcaterraUniversitario de Deportes
78
Bad Boys
Most likely to get booked
1
Horacio CalcaterraUniversitario de Deportes
1
Aggression 68
2
Claudio Guillermo Ramírez LlamoccaUCV Moquegua
1
Aggression 98
3
Yorman ZapataUCV Moquegua
1
Aggression 76
4
Juan Manuel RequenaUniversitario de Deportes
2
Aggression 82
5
Yuriel CeliUniversitario de Deportes
7
Aggression 45
Power Rankings
Strongest overall
1
Jairo ConchaUniversitario de Deportes
91
2
Jesús CastilloUniversitario de Deportes
80
3
Álex ValeraUniversitario de Deportes
78
4
Mathias PanizoUCV Moquegua
75
5
MiguelUniversitario de Deportes
73
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Universitario de Deportes vs UCV Moquegua 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 Universitario de Deportes vs UCV Moquegua 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 Universitario de Deportes 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 Universitario de Deportes vs UCV Moquegua 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 Universitario de Deportes 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.