Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
L
W
L
W
D
7 of 15
3
league position
VS
10 games
Form · 5 matches
L
D
W
L
L
4 of 15
4
league position
Attack
Average per match in the sample
2.0
Goals
per match
2.4
0.0
Shots on target
per match
3.4
0.0
Corners
per match
2.8
Possession and passing
Average per match in the sample
0
Possession
% за матч
35
0
Accurate passes
per match
243
Discipline
Lower is better
0.0
Fouls
per match
9.1
0.0
Yellow cards
per match
2.5
Defense
Lower is better
2.5
Goals conceded
per match
1.2
Personal Meetings
GEY ahead
draws
HOM ahead
26.04.2026
Geylang International
0 : 3
Home United
07.03.2026
Home United
4 : 0
Geylang International
18.01.2026
Geylang International
0 : 3
Home United
04.05.2025
Home United
2 : 3
Geylang International
27.03.2025
Geylang International
1 : 3
Home United
26.01.2025
Geylang International
1 : 2
Home United
30.08.2024
Home United
2 : 2
Geylang International
28.06.2024
Geylang International
1 : 1
Home United
16.09.2023
Home United
3 : 1
Geylang International
07.05.2023
Geylang International
1 : 2
Home United
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 3.0 goals per match — more than the opponent (1.2).
The home team concedes an average of 2.0 goals per match — fewer than the opponent (2.4).
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.