Flamengo’s home advantage and Estudiantes’ need to compete on the road point toward an open contest, with pressure likely to create chances at both ends. The 2.12 price for Over 2.5 offers a strong angle: even if the Libertadores setting brings an initially cautious spell, the game appears likely to open up and produce a third goal.
Match GoalsOver 2.5
Best Pick
Under 2.5
60%
Correct Score
Top
1-0
14.9%
5.50
Top
1-1
12.3%
8.00
2-0
10.9%
6.00
0-0
10.2%
8.00
2-1
8.9%
9.00
0-1
8.4%
12.00
3-0
5.3%
10.00
1-2
5%
21.00
152%
1.50TOP
X27%
4.10
221%
6.50
1X79%
X248%
1273%
Combined Bet Builder
2 legs
Flamengo’s stronger attacking profile and home advantage should give them the initiative, while Estudiantes have enough threat to make this more than a one-way contest. As the pressure builds, the game looks likely to open up, with Flamengo poised to claim the win and the scoring to clear the goals line.
1Match WinnerFlamengo
2Match GoalsOver 2.5
Confirmed XI4-5-1
1
Rossi
22
Royal
3
Ortiz
4
Pereira
26
Sandro
5
Pulgar
21
Jorginho
15
Carrascal
11
Paquetá
16
Lino
9
Pedro
Impact Player Hot Head
Flamengo31 players
54.6/ 99Average
Top Rated
1PedroFWD91
2Wallace YanFWD80
3EvertonFWD75
Estudiantes LP30 players
50.9/ 99Average
Top Rated
1Edwuin CetréFWD78
2Santiago NúñezDEF77
3Adolfo GaichFWD69
Player Rankings
Snipers
Top goal threats
1
PedroFlamengo
99
2
Wallace YanFlamengo
96
3
Luiz AraújoFlamengo
93
4
EvertonFlamengo
81
5
Edwuin CetréEstudiantes LP
79
Wall
Top defenders
1
Fabrício BrunoFlamengo
67
2
Santiago NúñezEstudiantes LP
62
3
Léo PereiraFlamengo
59
4
Tomás PalaciosEstudiantes LP
58
5
DaniloFlamengo
56
Control
Top playmakers
1
Lucas PaquetáFlamengo
74
2
Gerson Flamengo
65
3
Gabriel NevesEstudiantes LP
63
4
AllanFlamengo
62
5
Erick Pulgar Flamengo
62
Bad Boys
Most likely to get booked
1
Tomás PalaciosEstudiantes LP
1
Aggression 48
2
Facundo FaríasEstudiantes LP
1
Aggression 46
3
Ezequiel PioviEstudiantes LP
4
Aggression 76
4
Guido CarrilloEstudiantes LP
6
Aggression 18
5
AllanFlamengo
12
Aggression 37
Power Rankings
Strongest overall
1
PedroFlamengo
91
2
Wallace YanFlamengo
80
3
Edwuin CetréEstudiantes LP
78
4
Santiago NúñezEstudiantes LP
77
5
EvertonFlamengo
75
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Flamengo vs Estudiantes LP 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 Flamengo vs Estudiantes LP 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 Flamengo 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 Flamengo vs Estudiantes LP 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 Flamengo 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.