Corinthians look the likelier winners at home: they’re projected to create the clearer chances, while Mirassol’s blunt attack offers little to fear. Both defenses are sturdy, so patience may be needed, but Corinthians should have the edge in the decisive moments and find a way through.
Match WinnerCorinthians
Best Pick
Under 2.5
55%
Correct Score
Top
1-1
12.7%
6.50
Top
1-0
11.8%
7.00
0-1
9%
13.00
2-1
8.9%
8.50
0-0
8.4%
10.00
2-0
8.2%
8.00
1-2
6.8%
15.00
0-2
4.9%
23.00
144%
1.75TOP
X27%
3.60
229%
4.75
1X71%
X256%
1273%
Combined Bet Builder
3 legs
Corinthians’ home pressure should keep the corners flowing, while Mirassol have enough threat to punish any defensive lapse. Though both attacks have been blunt, the open momentum of a tense contest points to both teams to score and goals clearing the three-goal mark, with sustained wing play likely to push corners beyond the line.
1Both Teams to ScoreYes
2Match GoalsOver 2.5
3Corners Over/UnderOver 8.5
Confirmed XI5-4-1
1
Souza
2
Matheuzinho
5
Ramalho
13
Henrique
26
Angileri
21
Bidu
49
Dias
7
Bidon
61
Dieguinho
8
Garro
9
Alberto
Impact Player Hot Head
Corinthians46 players
48.8/ 99Average
Top Rated
1André CarrilloMID64
2Fausto VeraMID64
3Matheus PereiraMID62
Mirassol49 players
51.1/ 99Average
Top Rated
1Zé Roberto FWD90
2Chico KimMID79
3Nathan FogaçaFWD78
Player Rankings
Snipers
Top goal threats
1
Zé Roberto Mirassol
99
2
Nathan FogaçaMirassol
91
3
Renato MarquesMirassol
65
4
Tiquinho SoaresMirassol
62
5
Talles MagnoCorinthians
54
Wall
Top defenders
1
GabrielMirassol
89
2
Luiz OtávioMirassol
79
3
Willian MachadoMirassol
73
4
Lucas OliveiraMirassol
71
5
Lucas GazalMirassol
67
Control
Top playmakers
1
Matheus PereiraCorinthians
85
2
Chico KimMirassol
79
3
José AldoMirassol
75
4
AllanCorinthians
73
5
Rodrigo GarroCorinthians
70
Bad Boys
Most likely to get booked
1
André RamalhoCorinthians
1
Aggression 32
2
CacáCorinthians
1
Aggression 25
3
Fabrizio AngileriCorinthians
1
Aggression 56
4
Gabriel PaulistaCorinthians
1
Aggression 26
5
Rodrigo GarroCorinthians
1
Aggression 40
Power Rankings
Strongest overall
1
Zé Roberto Mirassol
90
2
Chico KimMirassol
79
3
Nathan FogaçaMirassol
78
4
Lucas Mugni Mirassol
71
5
Lucas GazalMirassol
67
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Corinthians vs Mirassol 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 Corinthians vs Mirassol 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 Corinthians 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 Corinthians vs Mirassol 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 Corinthians 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.