Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 3 matches
W
W
W
9 of 9
5
league position
VS
9 games
Form · 3 matches
W
W
L
6 of 9
1
league position
Attack
Average per match in the sample
2.0
Goals
per match
1.4
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
1.4
Goals conceded
per match
1.4
Personal Meetings
PRO ahead
draws
FC ahead
08.05.2026
Progres Niederkorn
2 : 3
FC Differdange 03
30.11.2025
FC Differdange 03
1 : 1
Progres Niederkorn
01.03.2025
Progres Niederkorn
0 : 2
FC Differdange 03
01.09.2024
FC Differdange 03
1 : 0
Progres Niederkorn
13.05.2024
Progres Niederkorn
0 : 1
FC Differdange 03
24.04.2024
Progres Niederkorn
2 : 0
FC Differdange 03
03.12.2023
FC Differdange 03
3 : 1
Progres Niederkorn
06.05.2023
Progres Niederkorn
2 : 0
FC Differdange 03
26.04.2023
FC Differdange 03
3 : 2
Progres Niederkorn
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 2.3 goals per match — more than the home team (1.8).
The away team concedes an average of 0.2 goals per match — fewer than the home team (1.0).
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.