Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
W
L
D
D
L
5 of 15
8
league position
VS
10 games
Form · 5 matches
W
W
L
L
L
6 of 15
7
league position
Attack
Average per match in the sample
1.1
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
2.2
Goals conceded
per match
2.0
Personal Meetings
NAT ahead
draws
DAN ahead
16.05.2026
Dangkor Senchey
6 : 0
National Defense
21.03.2026
National Defense
1 : 1
Dangkor Senchey
15.02.2026
Dangkor Senchey
3 : 0
National Defense
02.11.2025
National Defense
1 : 3
Dangkor Senchey
11.05.2025
Dangkor Senchey
0 : 2
National Defense
06.04.2025
National Defense
2 : 1
Dangkor Senchey
04.01.2025
National Defense
1 : 2
Dangkor Senchey
19.09.2024
Dangkor Senchey
2 : 2
National Defense
21.04.2024
National Defense
3 : 2
Dangkor Senchey
21.01.2024
National Defense
4 : 0
Dangkor Senchey
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 (1.6).
The away team concedes an average of 2.3 goals per match — fewer than the home team (2.3).
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.