Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
L
L
L
W
W
6 of 15
11
league position
VS
10 games
Form · 5 matches
L
W
W
L
W
9 of 15
6
league position
Attack
Average per match in the sample
1.8
Goals
per match
1.8
4.8
Shots on target
per match
5.1
5.2
Corners
per match
4.8
Possession and passing
Average per match in the sample
41
Possession
% за матч
49
237
Accurate passes
per match
308
Discipline
Lower is better
12.1
Fouls
per match
13.9
2.1
Yellow cards
per match
2.3
Defense
Lower is better
2.2
Goals conceded
per match
1.3
Personal Meetings
UMM ahead
draws
AL ahead
04.04.2026
Al Shamal
3 : 2
UMM Salal
01.11.2025
UMM Salal
0 : 5
Al Shamal
03.09.2025
Al Shamal
1 : 3
UMM Salal
24.01.2025
Al Shamal
4 : 0
UMM Salal
31.08.2024
UMM Salal
1 : 2
Al Shamal
16.08.2024
UMM Salal
3 : 2
Al Shamal
05.03.2024
UMM Salal
3 : 4
Al Shamal
27.12.2023
UMM Salal
2 : 0
Al Shamal
29.09.2023
Al Shamal
1 : 3
UMM Salal
05.09.2023
UMM Salal
2 : 3
Al Shamal
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 1.9 goals per match — more than the home team (1.2).
The away team concedes an average of 1.6 goals per match — fewer than the home team (2.0).
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.