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
13
league position
VS
10 games
Form · 5 matches
L
W
L
D
W
7 of 15
5
league position
Attack
Average per match in the sample
1.3
Goals
per match
0.8
3.9
Shots on target
per match
2.8
5.1
Corners
per match
5.3
Possession and passing
Average per match in the sample
57
Possession
% за матч
48
356
Accurate passes
per match
252
Discipline
Lower is better
11.3
Fouls
per match
12.4
1.8
Yellow cards
per match
2.3
Defense
Lower is better
1.0
Goals conceded
per match
1.1
Personal Meetings
NAT ahead
draws
COC ahead
03.05.2026
National Bank of Egypt
2 : 1
Coca-Cola
18.12.2025
National Bank of Egypt
1 : 1
Coca-Cola
22.11.2025
Coca-Cola
0 : 0
National Bank of Egypt
20.05.2025
National Bank of Egypt
1 : 0
Coca-Cola
23.04.2025
Coca-Cola
0 : 2
National Bank of Egypt
20.12.2024
Coca-Cola
0 : 1
National Bank of Egypt
10.05.2024
Coca-Cola
1 : 1
National Bank of Egypt
30.10.2023
National Bank of Egypt
1 : 2
Coca-Cola
14.07.2023
National Bank of Egypt
1 : 0
Coca-Cola
07.02.2023
Coca-Cola
3 : 0
National Bank of Egypt
Statistical estimate
1/X/2 by the Poisson model based on average goals
1X2
The home team scores an average of 1.4 goals per match — more than the opponent (1.2).
The away team concedes an average of 0.8 goals per match — fewer than the home team (1.3).
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.