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
W
D
8 of 15
3
league position
VS
10 games
Form · 5 matches
D
W
W
W
W
13 of 15
5
league position
Attack
Average per match in the sample
2.5
Goals
per match
1.3
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
1.3
Goals conceded
per match
1.4
Personal Meetings
SVA ahead
draws
NAG ahead
25.04.2026
Svay Rieng
1 : 1
NagaWorld
08.03.2026
NagaWorld
1 : 1
Svay Rieng
23.11.2025
NagaWorld
1 : 2
Svay Rieng
10.08.2025
Svay Rieng
3 : 0
NagaWorld
30.04.2025
Svay Rieng
2 : 1
NagaWorld
29.03.2025
NagaWorld
0 : 4
Svay Rieng
03.01.2025
NagaWorld
0 : 2
Svay Rieng
18.09.2024
Svay Rieng
2 : 0
NagaWorld
18.02.2024
Svay Rieng
4 : 3
NagaWorld
03.12.2023
NagaWorld
1 : 0
Svay Rieng
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 2.0 goals per match — more than the opponent (1.8).
The home team concedes an average of 1.0 goals per match — fewer than the opponent (1.4).
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.