· Primera Nacional
Estudiantes
ATT
4/10
DEF
6/10
2:1
San Miguel
4/10
ATT
5/10
DEF
Full-time
Best Pick
Under 2.5
72%
Correct Score95′
Top
1-0
18.7%
4.50
Top
0-0
15.7%
5.00
1-1
12.4%
6.50
2-0
11.1%
7.00
0-1
10.4%
9.00
2-1
7.4%
10.00
3-0
4.4%
15.00
1-2
4.1%
21.00
149%
2.05TOP
X31%
3.26
221%
4.86
1X80%
X252%
1270%
xG — Expected Goals
Estudiantes
Estudiantes exp
San Miguel
San Miguel exp
goal
per 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Estudiantes
San Miguel
Confirmed XI4-4-2
1
Lungarzo
4
Bernardi
2
Benítez
6
Albarracin
3
Squie
5
Melo
7
Duré
11
Acosta
10
Sena
8
Rostagno
9
Acosta
Impact Player Hot Head
Estudiantes31 players
48.5/ 99Average
Top Rated
1Ian VeraFWD74
2Juan VergaraFWD73
3Darío Agustín RostagnoFWD71
San Miguel28 players
54.0/ 99Average
Top Rated
1Franco AguirreDEF80
2Claudio MoscaMID79
3Fabrizio AlmeidaMID79
Player Rankings
Snipers
Top goal threats
1
Ian VeraEstudiantes
99
2
Bruno NastaSan Miguel
91
3
Juan VergaraEstudiantes
74
4
Darío Agustín RostagnoEstudiantes
70
5
Jorge Iván CorreaEstudiantes
67
Wall
Top defenders
1
Dixon RenteriaSan Miguel
99
2
F. CoronelSan Miguel
77
3
Franco AguirreSan Miguel
73
4
Balthazar BernardiEstudiantes
71
5
Kevin CeceriSan Miguel
71
Control
Top playmakers
1
David Iván MüllerSan Miguel
99
2
Fabrizio AlmeidaSan Miguel
99
3
Claudio MoscaSan Miguel
94
4
Santiago CamachoEstudiantes
80
5
Enzo AcostaEstudiantes
68
Bad Boys
Most likely to get booked
1
Rodrigo MeloEstudiantes
1
2
Jorge Iván CorreaEstudiantes
1
3
Leandro DesábatoSan Miguel
1
4
Gustavo Martin FernandezSan Miguel
1
5
Martin AlbarracinEstudiantes
10
Power Rankings
Strongest overall
1
Franco AguirreSan Miguel
80
2
Claudio MoscaSan Miguel
79
3
Fabrizio AlmeidaSan Miguel
79
4
David Iván MüllerSan Miguel
76
5
Ian VeraEstudiantes
74

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Estudiantes vs San Miguel 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 Estudiantes vs San Miguel 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 Estudiantes 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 Estudiantes vs San Miguel 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 Estudiantes 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.

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