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
L
L
0 of 15
36
league position
VS
10 games
Form · 5 matches
D
L
D
W
D
6 of 15
4
league position
Attack
Average per match in the sample
1.8
Goals
per match
2.1
3.9
Shots on target
per match
5.6
4.3
Corners
per match
5.5
Possession and passing
Average per match in the sample
49
Possession
% за матч
59
297
Accurate passes
per match
397
Discipline
Lower is better
14.1
Fouls
per match
14.9
2.5
Yellow cards
per match
3.1
Defense
Lower is better
1.5
Goals conceded
per match
1.1
Personal Meetings
MAC ahead
draws
BEI ahead
16.05.2026
Maccabi Tel Aviv
1 : 2
Beitar Jerusalem
02.05.2026
Beitar Jerusalem
4 : 2
Maccabi Tel Aviv
16.02.2026
Beitar Jerusalem
0 : 0
Maccabi Tel Aviv
09.11.2025
Maccabi Tel Aviv
2 : 6
Beitar Jerusalem
24.05.2025
Maccabi Tel Aviv
5 : 0
Beitar Jerusalem
21.04.2025
Beitar Jerusalem
3 : 1
Maccabi Tel Aviv
03.02.2025
Maccabi Tel Aviv
1 : 1
Beitar Jerusalem
28.10.2024
Beitar Jerusalem
3 : 1
Maccabi Tel Aviv
10.03.2024
Beitar Jerusalem
0 : 1
Maccabi Tel Aviv
27.12.2023
Maccabi Tel Aviv
1 : 0
Beitar Jerusalem
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 (0.3).
The away team concedes an average of 1.3 goals per match — fewer than the home team (2.8).
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.