Italy Serie A
Stadio Olimpico di Torino
Torino
W W W L L D
VS
xG 1.33 - 0.72
Venezia
L W L L L W

Mathematical Predictions: Torino vs Venezia

TOTAL GOALS
Under 2.5
Probability 66.16% Pending
MATCH RESULT
Draw
Pending

Historical Prediction Track Records

Torino team crest Torino Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Torino
Date Fixture 1X2 O/U 2.5 FT
07 Nov 26 vs Lecce X U2.5 1-1
01 Nov 26 @ Frosinone 1 O2.5 2-0
27 Oct 26 vs Como 2 O2.5 1-3
23 Oct 26 vs Monza X U2.5 3-2
19 Oct 26 @ Parma X U2.5 0-3

Venezia team crest Venezia Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Venezia
Date Fixture 1X2 O/U 2.5 FT
06 Nov 26 vs Udinese 2 O2.5 2-1
01 Nov 26 @ Como 1 O2.5 1-0
28 Oct 26 vs Inter 2 O2.5 0-2
25 Oct 26 @ Genoa 1 O2.5 1-0
17 Oct 26 vs Napoli 2 O2.5 1-0

Torino vs Venezia

H2H, Match Stats & Analysis
Italy Serie A
Stadio Olimpico di Torino
In their previous 4 head-to-head matches, Torino scored an average of 1.00 goals per match, compared to Venezia 1.00 goals.
Over their last 10 matches, Torino scored an average of 1.33 and conceded 1.83, whereas Venezia scored 0.50 and conceded 2.17.

What are the expected goals (xG) predicted in Torino vs Venezia match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.33 for Torino and 0.72 for Venezia. Mathematical prediction based on the algorithm is Under 2.5 with Poisson distribution probability of 66.16%.

H2H - Torino vs. Venezia

02 Jan 27
Torino
-
(HT -)
Venezia
02 May 25
Torino
1 - 1
(HT 0-1)
Venezia
30 Aug 24
Venezia
0 - 1
(HT 0-0)
Torino
12 Feb 22
Torino
1 - 2
(HT 1-1)
Venezia
27 Sep 21
Venezia
1 - 1
(HT 0-0)
Torino

Team Form (Last 6)

Home Crest Torino

12 Oct vs Udinese 2-1
W
19 Oct @ Parma 0-3
W
23 Oct vs Monza 3-2
W
27 Oct vs Como 1-3
L
01 Nov @ Frosinone 2-0
L
07 Nov vs Lecce 1-1
D

Away Crest Venezia

12 Oct @ Atalanta 3-1
L
17 Oct vs Napoli 1-0
W
25 Oct @ Genoa 1-0
L
28 Oct vs Inter 0-2
L
01 Nov @ Como 1-0
L
06 Nov vs Udinese 2-1
W

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.