Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
W
D
L
L
L
4 of 15
7
league position
VS
9 games
Form · 5 matches
D
W
D
W
L
8 of 15
5
league position
Attack
Average per match in the sample
1.9
Goals
per match
1.1
4.7
Shots on target
per match
0.0
6.7
Corners
per match
0.0
Possession and passing
Average per match in the sample
59
Possession
% за матч
0
382
Accurate passes
per match
0
Discipline
Lower is better
14.1
Fouls
per match
0.0
2.9
Yellow cards
per match
0.0
Defense
Lower is better
1.1
Goals conceded
per match
1.5
Personal Meetings
BEI ahead
draws
HAP ahead
12.04.2026
Hapoel Katamon
0 : 2
Beitar Jerusalem
08.12.2025
Beitar Jerusalem
1 : 1
Hapoel Katamon
21.02.2025
Beitar Jerusalem
1 : 1
Hapoel Katamon
01.12.2024
Hapoel Katamon
3 : 3
Beitar Jerusalem
06.08.2024
Beitar Jerusalem
2 : 0
Hapoel Katamon
11.05.2024
Hapoel Katamon
3 : 0
Beitar Jerusalem
04.02.2024
Hapoel Katamon
2 : 1
Beitar Jerusalem
06.12.2023
Beitar Jerusalem
1 : 0
Hapoel Katamon
19.08.2023
Hapoel Katamon
1 : 0
Beitar Jerusalem
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.5 goals per match — more than the opponent (1.2).
The away team concedes an average of 1.0 goals per match — fewer than the home team (1.8).
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.