Manchester City
W
L
D
L
W
L
-
(xG) 2.24 - 1.24
Nottingham Forest
L
L
L
D
L
W
Mathematical Predictions
TOTAL GOALS
Over 2.5
Probability 67.59% Pending
MATCH RESULT
Home Win
Pending

Manchester City vs Nottingham Forest

H2H, Match Stats & Analysis
England Premier League
Etihad Stadium
In their previous 9 head-to-head matches, Manchester City scored an average of 2.22 goals per match, compared to Nottingham Forest 0.56 goals.
Over their last 10 matches, Manchester City scored an average of 2.83 and conceded 2.17, whereas Nottingham Forest scored 1.00 and conceded 1.67.

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

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.24 for Manchester City and 1.24 for Nottingham Forest. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 67.59%.

H2H - Manchester City vs. Nottingham Forest

16-01-2027
Manchester City
-
(HT -)
Nottingham Forest
07-11-2026
Nottingham Forest
3 - 1
(HT 2-0)
Manchester City
04-03-2026
Manchester City
2 - 2
(HT 1-0)
Nottingham Forest
27-12-2025
Nottingham Forest
1 - 2
(HT 0-0)
Manchester City
27-04-2025
Nottingham Forest
0 - 2
(HT 0-1)
Manchester City
08-03-2025
Nottingham Forest
1 - 0
(HT 0-0)
Manchester City
04-12-2024
Manchester City
3 - 0
(HT 2-0)
Nottingham Forest
28-04-2024
Nottingham Forest
0 - 2
(HT 0-1)
Manchester City
23-09-2023
Manchester City
2 - 0
(HT 2-0)
Nottingham Forest
18-02-2023
Nottingham Forest
1 - 1
(HT 0-1)
Manchester City
31-08-2022
Manchester City
6 - 0
(HT 3-0)
Nottingham Forest

Team Form (Last 6)

Home Crest Manchester City

20.10 vs AEK Athens FC 5-1
W
24.10 @ Aston Villa 2-1
L
28.10 vs Brighton 2-2
D
31.10 vs Brighton 0-1
L
04.11 @ RB Leipzig 2-3
W
07.11 @ Nottingham Forest 3-1
L

Away Crest Nottingham Forest

19.09 vs Coventry 0-1
L
11.10 @ Crystal Palace 3-1
L
18.10 vs Arsenal 0-1
L
23.10 @ Ipswich 1-1
D
31.10 @ Brentford 2-0
L
07.11 vs Manchester City 3-1
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.