Italy Serie A
TBA
AC Milan
L W L W L W
VS
xG 2.17 - 1.50
Como
W W W W W L

Mathematical Predictions: AC Milan vs Como

TOTAL GOALS
Over 2.5
Probability 70.89% Pending
MATCH RESULT
Draw
Pending

Historical Prediction Track Records

AC Milan team crest AC Milan Past Prediction Accuracy

Historical prediction accuracy and match outcomes for AC Milan
Date Fixture 1X2 O/U 2.5 FT
08 Nov 26 @ Genoa X U2.5 1-2
05 Nov 26 vs Ferencvarosi TC X O2.5 0-2
31 Oct 26 vs Inter 2 O2.5 3-1
28 Oct 26 vs Bologna X U2.5 2-4
25 Oct 26 @ Udinese 2 U2.5 0-2

Como team crest Como Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Como
Date Fixture 1X2 O/U 2.5 FT
08 Nov 26 @ Inter X O2.5 2-0
04 Nov 26 @ Lens X O2.5 1-9
01 Nov 26 vs Venezia 1 O2.5 1-0
27 Oct 26 @ Torino 2 O2.5 1-3
24 Oct 26 vs Sassuolo 1 O2.5 2-0

AC Milan vs Como

H2H, Match Stats & Analysis
Italy Serie A
TBA
In their previous 4 head-to-head matches, AC Milan scored an average of 2.00 goals per match, compared to Como 1.00 goals.
Over their last 10 matches, AC Milan scored an average of 2.33 and conceded 1.50, whereas Como scored 2.00 and conceded 1.33.

What are the expected goals (xG) predicted in AC Milan vs Como match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.17 for AC Milan and 1.50 for Como. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 70.89%.

H2H - AC Milan vs. Como

19 Dec 26
AC Milan
-
(HT -)
Como
18 Feb 26
AC Milan
1 - 1
(HT 0-1)
Como
15 Jan 26
Como
1 - 3
(HT 1-1)
AC Milan
15 Mar 25
AC Milan
2 - 1
(HT 0-1)
Como
14 Jan 25
Como
1 - 2
(HT 0-0)
AC Milan

Team Form (Last 6)

Home Crest AC Milan

22 Oct @ Bournemouth 3-0
L
25 Oct @ Udinese 0-2
W
28 Oct vs Bologna 2-4
L
31 Oct vs Inter 3-1
W
05 Nov vs Ferencvarosi TC 0-2
L
08 Nov @ Genoa 1-2
W

Away Crest Como

21 Oct vs Manchester United 4-1
W
24 Oct vs Sassuolo 2-0
W
27 Oct @ Torino 1-3
W
01 Nov vs Venezia 1-0
W
04 Nov @ Lens 1-9
W
08 Nov @ Inter 2-0
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.