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
10 games
Form · 5 matches
W
W
W
D
L
10 of 15
4
league position
Attack
Average per match in the sample
2.1
Goals
per match
1.9
5.6
Shots on target
per match
5.3
5.5
Corners
per match
4.6
Possession and passing
Average per match in the sample
59
Possession
% за матч
48
397
Accurate passes
per match
335
Discipline
Lower is better
14.9
Fouls
per match
13.5
3.1
Yellow cards
per match
2.5
Defense
Lower is better
1.1
Goals conceded
per match
1.8
Personal Meetings
BEI ahead
draws
MAC ahead
23.02.2026
Maccabi Netanya
2 : 8
Beitar Jerusalem
30.11.2025
Beitar Jerusalem
4 : 2
Maccabi Netanya
04.05.2025
Beitar Jerusalem
0 : 3
Maccabi Netanya
30.03.2025
Maccabi Netanya
0 : 1
Beitar Jerusalem
01.01.2025
Maccabi Netanya
3 : 0
Beitar Jerusalem
15.09.2024
Beitar Jerusalem
2 : 0
Maccabi Netanya
10.08.2024
Maccabi Netanya
1 : 1
Beitar Jerusalem
31.03.2024
Maccabi Netanya
0 : 3
Beitar Jerusalem
24.02.2024
Beitar Jerusalem
0 : 0
Maccabi Netanya
20.12.2023
Maccabi Netanya
0 : 3
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 (1.3).
The away team concedes an average of 1.5 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.