· Brasileiro Serie A
São Paulo
ATT
5/10
DEF
6/10
1:0
Vasco da Gama
4/10
ATT
4/10
DEF
Full-time
Best Pick
Home Win
57%
Correct Score97′
Top
1-0
12.7%
7.00
Top
1-1
11.3%
6.00
2-0
10.9%
10.00
2-1
9.7%
9.50
0-0
7.4%
8.00
0-1
6.6%
9.50
3-0
6.2%
21.00
3-1
5.5%
19.00
157%
1.75TOP
X24%
4.21
219%
5.20
1X81%
X243%
1276%
xG — Expected Goals
São Paulo
São Paulo exp
Vasco da Gama
Vasco da Gama exp
goal
per 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
São Paulo
Vasco da Gama
Confirmed XI3-4-3
23
Rafael
28
Newton
5
Arboleda
2
Tolói
32
Lima
8
Antônio
16
Bobadilla
12
Iago
10
Luciano
37
Artur 
9
Calleri
Impact Player Hot Head
São Paulo51 players
51.7/ 99Average
Top Rated
1CaulyMID81
2SabinoDEF78
3Gustavo SantanaFWD74
Vasco da Gama47 players
53.6/ 99Average
Top Rated
1Claudio SpinelliFWD90
2Facundo ColidioFWD89
3Santiago Sosa MID75
Player Rankings
Snipers
Top goal threats
1
Facundo ColidioVasco da Gama
94
2
Claudio SpinelliVasco da Gama
88
3
Gustavo SantanaSão Paulo
82
4
Artur São Paulo
73
5
Bruno LopesVasco da Gama
64
Wall
Top defenders
1
Nahuel Ferraresi São Paulo
69
2
Rafael TolóiSão Paulo
69
3
SabinoSão Paulo
69
4
Robert ArboledaSão Paulo
68
5
Lucas FreitasVasco da Gama
64
Control
Top playmakers
1
Thiago MendesVasco da Gama
84
2
Marcos AntônioSão Paulo
74
3
CaulySão Paulo
73
4
JPVasco da Gama
64
5
PraxedesVasco da Gama
62
Bad Boys
Most likely to get booked
1
Ruan São Paulo
1
2
AlissonSão Paulo
1
3
André SilvaSão Paulo
1
4
Thiago MendesVasco da Gama
1
5
LucianoSão Paulo
5
Power Rankings
Strongest overall
1
Claudio SpinelliVasco da Gama
90
2
Facundo ColidioVasco da Gama
89
3
CaulySão Paulo
81
4
SabinoSão Paulo
78
5
Santiago Sosa Vasco da Gama
75

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for São Paulo vs Vasco da Gama 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 São Paulo vs Vasco da Gama 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 São Paulo 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 São Paulo vs Vasco da Gama 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 São Paulo 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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