Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 10 matches
L
L
D
W
W
W
W
W
W
L
19 of 30
1
league position
VS
10 games
Form · 5 matches
D
W
L
D
L
5 of 15
8
league position
Attack
Average per match in the sample
1.7
Goals
per match
1.2
4.3
Shots on target
per match
3.9
4.3
Corners
per match
3.2
Possession and passing
Average per match in the sample
43
Possession
% за матч
44
316
Accurate passes
per match
307
Discipline
Lower is better
12.0
Fouls
per match
13.4
1.4
Yellow cards
per match
2.8
Defense
Lower is better
0.9
Goals conceded
per match
1.8
Personal Meetings
FOR ahead
draws
VAL ahead
12.09.2025
Valour
2 : 1
Forge
02.08.2025
Forge
5 : 0
Valour
22.06.2025
Valour
0 : 5
Forge
19.04.2025
Forge
1 : 1
Valour
06.10.2024
Valour
0 : 1
Forge
04.08.2024
Valour
2 : 1
Forge
23.06.2024
Forge
2 : 1
Valour
27.04.2024
Forge
2 : 1
Valour
17.09.2023
Valour
2 : 3
Forge
15.07.2023
Forge
1 : 1
Valour
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 1.1 goals per match — fewer than the opponent (1.5).
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.