Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 3 matches
W
L
W
6 of 9
10
league position
VS
6 games
Form · 5 matches
W
D
D
W
L
8 of 15
6
league position
Attack
Average per match in the sample
1.5
Goals
per match
1.2
4.3
Shots on target
per match
3.1
5.1
Corners
per match
4.2
Possession and passing
Average per match in the sample
51
Possession
% за матч
46
315
Accurate passes
per match
262
Discipline
Lower is better
11.4
Fouls
per match
14.4
1.6
Yellow cards
per match
2.5
Defense
Lower is better
1.4
Goals conceded
per match
1.7
Personal Meetings
ZOR ahead
draws
RUK ahead
04.05.2026
Rukh Vynnyky
1 : 2
Zorya Luhansk
02.11.2025
Zorya Luhansk
1 : 0
Rukh Vynnyky
02.03.2025
Zorya Luhansk
2 : 0
Rukh Vynnyky
25.08.2024
Rukh Vynnyky
3 : 0
Zorya Luhansk
04.12.2023
Zorya Luhansk
0 : 0
Rukh Vynnyky
29.07.2023
Rukh Vynnyky
2 : 1
Zorya Luhansk
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 1.5 goals per match — more than the home team (1.0).
The away team concedes an average of 1.0 goals per match — fewer than the home team (1.2).
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.