Cuiaba
D
L
L
L
L
L
1-2
(xG) 1.56 - 1.22
São Bernardo
L
D
L
W
W
L

Mathematical Predictions: Cuiaba vs São Bernardo

TOTAL GOALS
Over 2.5
Probability 52.52% Won
MATCH RESULT
Home Win
Lost

Historical Prediction Track Records

Cuiaba team crest Cuiaba Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Cuiaba
Date Fixture 1X2 O/U 2.5 FT
08 Nov 26 vs Juventude X U2.5 1-2
01 Nov 26 vs São Bernardo 1 O2.5 1-2
26 Oct 26 @ America Mineiro X U2.5 1-0
21 Oct 26 @ Londrina 1 O2.5 1-0
11 Oct 26 vs Avai 1 U2.5 0-1

São Bernardo team crest São Bernardo Past Prediction Accuracy

Historical prediction accuracy and match outcomes for São Bernardo
Date Fixture 1X2 O/U 2.5 FT
07 Nov 26 @ Avai X U2.5 2-1
01 Nov 26 @ Cuiaba 1 O2.5 1-2
24 Oct 26 vs Vila Nova X U2.5 3-2
18 Oct 26 vs Criciuma X U2.5 0-1
11 Oct 26 @ Juventude X U2.5 2-2

Cuiaba vs São Bernardo

H2H, Match Stats & Analysis
Arena Pantanal
In their previous 2 head-to-head matches, Cuiaba scored an average of 1.50 goals per match, compared to São Bernardo 2.00 goals.
Over their last 10 matches, Cuiaba scored an average of 1.67 and conceded 0.33, whereas São Bernardo scored 1.33 and conceded 1.00.

What are the expected goals (xG) predicted in Cuiaba vs São Bernardo match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.56 for Cuiaba and 1.22 for São Bernardo. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 52.52%.

H2H - Cuiaba vs. São Bernardo

01 Nov 26
Cuiaba
1 - 2
(HT 1-1)
São Bernardo
12 Jul 26
São Bernardo
2 - 2
(HT 2-2)
Cuiaba

Team Form (Last 6)

Home Crest Cuiaba

08 Oct @ Vila Nova 0-0
D
11 Oct vs Avai 0-1
L
21 Oct @ Londrina 1-0
L
26 Oct @ America Mineiro 1-0
L
01 Nov vs São Bernardo 1-2
L
08 Nov vs Juventude 1-2
L

Away Crest São Bernardo

07 Oct @ Sport Recife 2-1
L
11 Oct @ Juventude 2-2
D
18 Oct vs Criciuma 0-1
L
24 Oct vs Vila Nova 3-2
W
01 Nov @ Cuiaba 1-2
W
07 Nov @ Avai 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.