Vitoria
W
L
D
D
L
L
-
(xG) 1.00 - 1.44
Santos
D
L
W
D
D
L

Mathematical Predictions: Vitoria vs Santos

TOTAL GOALS
Under 2.5
Probability 55.81% Pending
MATCH RESULT
Draw
Pending

Historical Prediction Track Records

Vitoria team crest Vitoria Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Vitoria
Date Fixture 1X2 O/U 2.5 FT
07 Nov 26 vs Fluminense X U2.5 0-3
31 Oct 26 @ Coritiba 2 O2.5 2-0
24 Oct 26 vs Atletico Paranaense 2 O2.5 1-1
20 Oct 26 @ Corinthians X U2.5 1-1
11 Oct 26 @ Sao Paulo 1 U2.5 2-1

Santos team crest Santos Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Santos
Date Fixture 1X2 O/U 2.5 FT
03 Nov 26 @ RB Bragantino X O2.5 2-1
28 Oct 26 vs Palmeiras X U2.5 0-0
25 Oct 26 vs Bahia 1 O2.5 1-1
18 Oct 26 @ Fluminense 1 U2.5 1-2
11 Oct 26 @ Atletico-MG X U2.5 2-1

Vitoria vs Santos

H2H, Match Stats & Analysis
Barradao
In their previous 3 head-to-head matches, Vitoria scored an average of 0.67 goals per match, compared to Santos 1.33 goals.
Over their last 10 matches, Vitoria scored an average of 1.17 and conceded 1.50, whereas Santos scored 1.83 and conceded 1.50.

What are the expected goals (xG) predicted in Vitoria vs Santos match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.00 for Vitoria and 1.44 for Santos. Mathematical prediction based on the algorithm is Under 2.5 with Poisson distribution probability of 55.81%.

H2H - Vitoria vs. Santos

29 Nov 26
Vitoria
-
(HT -)
Santos
31 May 26
Santos
3 - 1
(HT 1-0)
Vitoria
21 Oct 25
Santos
0 - 1
(HT 0-1)
Vitoria
25 May 25
Vitoria
0 - 1
(HT 0-1)
Santos

Team Form (Last 6)

Home Crest Vitoria

08 Oct vs Chapecoense-sc 4-0
W
11 Oct @ Sao Paulo 2-1
L
20 Oct @ Corinthians 1-1
D
24 Oct vs Atletico Paranaense 1-1
D
31 Oct @ Coritiba 2-0
L
07 Nov vs Fluminense 0-3
L

Away Crest Santos

09 Oct vs Flamengo 2-2
D
11 Oct @ Atletico-MG 2-1
L
18 Oct @ Fluminense 1-2
W
25 Oct vs Bahia 1-1
D
28 Oct vs Palmeiras 0-0
D
03 Nov @ RB Bragantino 2-1
L

Poisson Distribution Algorithm

We utilize a Poisson distribution model to evaluate goal probability (such as the 2.5 threshold) in professional fixtures. By assessing expected offensive and defensive ratings for both home and away sides, our engine calculates precise percentage outcomes for your match predictions.