Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
W
W
W
W
D
W
W
W
L
W
25 of 30
3
league position
VS
9 games
Form · 10 matches
D
D
D
L
W
W
W
L
L
W
15 of 30
12
league position
Attack
Average per match in the sample
1.4
Goals
per match
1.2
4.5
Shots on target
per match
4.0
4.2
Corners
per match
4.9
Possession and passing
Average per match in the sample
54
Possession
% за матч
50
329
Accurate passes
per match
277
Discipline
Lower is better
10.6
Fouls
per match
10.8
1.3
Yellow cards
per match
1.2
Defense
Lower is better
0.8
Goals conceded
per match
1.4
Personal Meetings
NJ/ ahead
draws
ANG ahead
24.08.2026
Angel City
0 : 0
NJ/NY Gotham FC
07.09.2025
NJ/NY Gotham FC
3 : 1
Angel City
19.04.2025
Angel City
0 : 4
NJ/NY Gotham FC
06.08.2024
NJ/NY Gotham FC
1 : 0
Angel City
07.07.2024
Angel City
1 : 2
NJ/NY Gotham FC
08.06.2024
NJ/NY Gotham FC
2 : 1
Angel City
02.07.2023
NJ/NY Gotham FC
0 : 0
Angel City
27.03.2023
Angel City
1 : 2
NJ/NY Gotham FC
28.08.2022
NJ/NY Gotham FC
1 : 3
Angel City
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.6 goals per match — more than the opponent (1.1).
The home team concedes an average of 0.8 goals per match — fewer than the opponent (1.6).
Estimate — a statistical Poisson model based on average goals, not an AI-model prediction.
This is not an AI model prediction — it's a simple statistical estimate based on average figures, without accounting for lineups, injuries or opponents' form.