· Serie A
São Paulo
ATT
5/10
DEF
6/10
1:2
Santos
7/10
ATT
5/10
DEF
Fine
Migliore scelta
GOL DI ENTRAMBE
53%
Risultato esatto53′
Eccellente
1-1
12.1%
6.00
Eccellente
1-0
10.6%
6.50
2-1
9.2%
9.00
2-0
8.1%
8.50
0-1
8%
10.00
0-0
7%
8.00
1-2
6.9%
15.00
2-2
5.3%
17.00
146%
2.17TOP
X25%
3.92
229%
3.51
1X71%
X254%
1275%
xG — Gol attesi
São Paulo
São Paulo att.
Santos
Santos att.
goal
ogni 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
São Paulo
Santos
Confirmed XI3-4-3
23
Rafael
29
Maia
5
Arboleda
2
Tolói
32
Lima
16
Bobadilla
8
Antônio
12
Iago
37
Artur 
10
Luciano
49
Francisco
Impact Player Hot Head
São Paulo50 giocatori
51.7/ 99Medio
Migliori
1SabinoDEF83
2CaulyMID76
3Marcos AntônioMID75
Santos52 giocatori
50.9/ 99Medio
Migliori
1Moisés FWD86
2Tomás RincónMID78
3ZanoceloMID78
Classifiche giocatori
Cecchini
Maggior minaccia di gol
1
Moisés Santos
99
2
Gustavo SantanaSão Paulo
73
3
Gustavo CaballeroSantos
64
4
Artur São Paulo
63
5
Gabriel BarbosaSantos
62
Muro
Migliori difensori
1
Rafael TolóiSão Paulo
74
2
SabinoSão Paulo
73
3
Lucas VeríssimoSantos
73
4
Nahuel Ferraresi São Paulo
70
5
Robert ArboledaSão Paulo
68
Controllo
Migliori registi
1
Arthur MeloSantos
80
2
Tomás RincónSantos
80
3
Marcos AntônioSão Paulo
75
4
CaulySão Paulo
70
5
ZanoceloSantos
69
Cattivi ragazzi
Più propensi ai cartellini
1
Ruan São Paulo
1
2
AlissonSão Paulo
1
3
André SilvaSão Paulo
1
4
AderlanSantos
1
5
Zé IvaldoSantos
1
Classifica potenza
Più forti in assoluto
1
Moisés Santos
86
2
SabinoSão Paulo
83
3
Tomás RincónSantos
78
4
ZanoceloSantos
78
5
CaulySão Paulo
76

Domande frequenti

Our Poisson model calculates the probability of every possible scoreline for São Paulo vs Santos 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 Santos 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 Santos 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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