Team comparison
Metrics, head-to-head meetings and a statistical outcome estimate for any two teams side by side.
Form · 1 matches
L
0 of 3
10
league position
VS
9 games
Form · 1 matches
D
1 of 3
4
league position
Attack
Average per match in the sample
1.5
Goals
per match
1.3
0.0
Shots on target
per match
3.5
0.0
Corners
per match
2.0
Possession and passing
Average per match in the sample
0
Possession
% за матч
32
0
Accurate passes
per match
203
Discipline
Lower is better
0.0
Fouls
per match
14.0
0.0
Yellow cards
per match
2.0
Defense
Lower is better
1.0
Goals conceded
per match
1.1
Personal Meetings
FER ahead
draws
DUK ahead
04.03.2026
Dukagjini
3 : 0
Feronikeli
27.04.2025
Dukagjini
2 : 1
Feronikeli
01.03.2025
Feronikeli
1 : 0
Dukagjini
09.11.2024
Dukagjini
2 : 1
Feronikeli
31.08.2024
Feronikeli
0 : 2
Dukagjini
18.05.2024
Feronikeli
3 : 2
Dukagjini
17.03.2024
Dukagjini
1 : 0
Feronikeli
10.12.2023
Feronikeli
1 : 0
Dukagjini
01.10.2023
Dukagjini
1 : 1
Feronikeli
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The away team scores an average of 1.1 goals per match — more than the home team (0.7).
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.