Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
L
L
L
D
L
W
L
L
D
D
6 of 30
9
league position
VS
10 games
Form · 10 matches
L
L
D
W
W
W
W
L
L
L
13 of 30
4
league position
Attack
Average per match in the sample
1.7
Goals
per match
1.9
5.4
Shots on target
per match
5.0
6.7
Corners
per match
5.5
Possession and passing
Average per match in the sample
51
Possession
% за матч
47
357
Accurate passes
per match
421
Discipline
Lower is better
12.6
Fouls
per match
12.0
2.7
Yellow cards
per match
1.8
Defense
Lower is better
1.6
Goals conceded
per match
1.0
Personal Meetings
JOS ahead
draws
LOS ahead
19.04.2026
Los Angeles FC
1 : 4
San Jose Earthquakes
14.09.2025
San Jose Earthquakes
2 : 4
Los Angeles FC
13.04.2025
Los Angeles FC
2 : 1
San Jose Earthquakes
25.01.2025
Los Angeles FC
1 : 1
San Jose Earthquakes
20.10.2024
Los Angeles FC
3 : 1
San Jose Earthquakes
14.08.2024
Los Angeles FC
4 : 1
San Jose Earthquakes
23.06.2024
Los Angeles FC
6 : 2
San Jose Earthquakes
04.05.2024
San Jose Earthquakes
3 : 1
Los Angeles FC
09.07.2023
Los Angeles FC
1 : 1
San Jose Earthquakes
21.05.2023
Los Angeles FC
2 : 1
San Jose Earthquakes
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.2 goals per match — more than the opponent (0.3).
The home team concedes an average of 1.3 goals per match — fewer than the opponent (1.3).
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.