Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 5 matches
D
L
W
W
W
10 of 15
2
league position
VS
10 games
Form · 5 matches
W
D
L
L
L
4 of 15
7
league position
Attack
Average per match in the sample
1.5
Goals
per match
1.5
6.5
Shots on target
per match
5.0
3.0
Corners
per match
5.3
Possession and passing
Average per match in the sample
81
Possession
% за матч
62
597
Accurate passes
per match
514
Discipline
Lower is better
8.5
Fouls
per match
19.0
2.5
Yellow cards
per match
5.3
Defense
Lower is better
1.7
Goals conceded
per match
1.4
Personal Meetings
HAP ahead
draws
BEI ahead
12.05.2026
Beitar Jerusalem
1 : 1
Hapoel Beer Sheva
25.04.2026
Hapoel Beer Sheva
2 : 2
Beitar Jerusalem
09.02.2026
Hapoel Beer Sheva
2 : 1
Beitar Jerusalem
03.11.2025
Beitar Jerusalem
0 : 1
Hapoel Beer Sheva
29.05.2025
Beitar Jerusalem
0 : 2
Hapoel Beer Sheva
19.05.2025
Beitar Jerusalem
1 : 1
Hapoel Beer Sheva
14.04.2025
Hapoel Beer Sheva
3 : 1
Beitar Jerusalem
10.03.2025
Beitar Jerusalem
1 : 1
Hapoel Beer Sheva
09.12.2024
Hapoel Beer Sheva
4 : 1
Beitar Jerusalem
04.03.2024
Hapoel Beer Sheva
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 2.0 goals per match — more than the opponent (1.5).
The home team concedes an average of 0.7 goals per match — fewer than the opponent (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.