Manchester City
W
L
D
L
W
L
1-1
(xG) 1.33 - 1.11
Inter
W
W
W
L
W
W

Mathematical Predictions: Manchester City vs Inter

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

Historical Prediction Track Records

Manchester City team crest Manchester City Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Manchester City
Date Fixture 1X2 O/U 2.5 FT
07 Nov 26 @ Nottingham Forest 2 U2.5 3-1
04 Nov 26 @ RB Leipzig X O2.5 2-3
31 Oct 26 vs Brighton X O2.5 0-1
24 Oct 26 @ Aston Villa 2 O2.5 2-1
20 Oct 26 vs AEK Athens FC X O2.5 5-1

Inter team crest Inter Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Inter
Date Fixture 1X2 O/U 2.5 FT
08 Nov 26 vs Como X O2.5 2-0
03 Nov 26 @ Feyenoord 2 O2.5 0-3
31 Oct 26 @ AC Milan 2 O2.5 3-1
28 Oct 26 @ Venezia 2 O2.5 0-2
25 Oct 26 vs Fiorentina X O2.5 2-1

Manchester City vs Inter

H2H, Match Stats & Analysis
World Friendlies Clubs
Hong Kong Stadium
In their previous 2 head-to-head matches, Manchester City scored an average of 0.50 goals per match, compared to Inter 0.50 goals.
Over their last 10 matches, Manchester City scored an average of 2.50 and conceded 0.67, whereas Inter scored 2.67 and conceded 1.50.

What are the expected goals (xG) predicted in Manchester City vs Inter match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.33 for Manchester City and 1.11 for Inter. Mathematical prediction based on the algorithm is Under 2.5 with Poisson distribution probability of 55.81%.

H2H - Manchester City vs. Inter

01 Aug 26
Manchester City
1 - 1
(HT 1-1)
Inter
18 Sep 24
Manchester City
0 - 0
(HT 0-0)
Inter

Team Form (Last 6)

Home Crest Manchester City

20 Oct vs AEK Athens FC 5-1
W
24 Oct @ Aston Villa 2-1
L
28 Oct vs Brighton 2-2
D
31 Oct vs Brighton 0-1
L
04 Nov @ RB Leipzig 2-3
W
07 Nov @ Nottingham Forest 3-1
L

Away Crest Inter

21 Oct vs Shakhtar Donetsk 1-0
W
25 Oct vs Fiorentina 2-1
W
28 Oct @ Venezia 0-2
W
31 Oct @ AC Milan 3-1
L
03 Nov @ Feyenoord 0-3
W
08 Nov vs Como 2-0
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.