Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
W
W
L
W
W
12 of 15
3
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
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
1.2
Goals conceded
per match
2.0
Personal Meetings
VIS ahead
draws
DAN ahead
02.05.2026
Dangkor Senchey
1 : 2
Visakha
29.04.2026
Dangkor Senchey
1 : 4
Visakha
22.04.2026
Visakha
3 : 0
Dangkor Senchey
14.03.2026
Visakha
2 : 0
Dangkor Senchey
17.01.2026
Dangkor Senchey
1 : 8
Visakha
27.09.2025
Visakha
3 : 2
Dangkor Senchey
25.01.2025
Dangkor Senchey
4 : 2
Visakha
19.10.2024
Visakha
2 : 1
Dangkor Senchey
18.02.2024
Visakha
1 : 3
Dangkor Senchey
03.12.2023
Dangkor Senchey
1 : 1
Visakha
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 2.6 goals per match — more than the opponent (1.6).
The home team concedes an average of 1.0 goals per match — fewer than the opponent (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.