Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
L
L
L
L
L
0 of 15
9
league position
VS
9 games
Form · 10 matches
W
W
W
D
D
W
L
W
D
W
21 of 30
9
league position
Attack
Average per match in the sample
1.0
Goals
per match
1.8
0.0
Shots on target
per match
0.0
0.0
Corners
per match
0.0
Possession and passing
Average per match in the sample
0
Possession
% за матч
0
0
Accurate passes
per match
0
Discipline
Lower is better
0.0
Fouls
per match
0.0
0.0
Yellow cards
per match
0.0
Defense
Lower is better
3.2
Goals conceded
per match
0.6
Personal Meetings
GRO ahead
draws
JDF ahead
23.11.2025
JDFS Alberts
0 : 1
Grobiņa
20.11.2025
Grobiņa
0 : 0
JDFS Alberts
30.09.2023
JDFS Alberts
2 : 2
Grobiņa
28.05.2023
Grobiņa
1 : 0
JDFS Alberts
08.10.2022
JDFS Alberts
2 : 1
Grobiņa
29.05.2022
Grobiņa
1 : 0
JDFS Alberts
19.09.2021
JDFS Alberts
1 : 1
Grobiņa
03.07.2021
Grobiņa
3 : 0
JDFS Alberts
04.10.2020
Grobiņa
2 : 0
JDFS Alberts
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 0.9 goals per match — more than the opponent (0.9).
The away team concedes an average of 1.4 goals per match — fewer than the home team (2.2).
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.