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Nairobi United - Azam 25.01.2026 16:00: score, statistics, forecasts

Completed
1
2
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1 half 1:1
2 half 0:1
25.01.2026 16:00
CAF Confederations Cup
3 | 2025/2026 |
Hosts' position: 4 (-1)
Guests' Position: 3 (+1)
Meeting Statistics
We have detailed tables with filters where you can track average values
Team Owners Guests
Avg. goals per match 2.33 2
Avg. angles per match 10.33 6.35
Avg. yellow cards per match 1 1.7
Avg. KK per match 0 0
Azam
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League & referee
We have detailed statistics not only on events, but also on referees and championships
CAF Confederations Cup

LIVE match center

Goals
120.48% from average (0.83)
1
2
153.85% from average (1.3)
Corner
66.67% from average (3)
2
3
68.18% from average (4.4)
Fouls
500% from average (4)
20
9
782.61% from average (1.15)
176.83% from average (16.4)
In the Live Center, we publish team match statistics, lineups, substitutions, and player stats. The information available depends on the specific championship coverage
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Team metrics

We try to show statistics for the last 20 matches, if that's what we have in our database. Also, when showing statistics for corners, shots, offsides, fouls, attacks, and passes, we exclude matches with zero results for these parameters from the calculations to ensure a more accurate picture, as these stats are not recorded for all leagues
Team
Nairobi United Azam
Goals per match average
2.33 2
Team goals per match average
0.83 1.3
Opponent goals per match average
1.5 0.8
Corners per match average
10.33 6.35
Team corners per match average
3 4.4
Opponent corners per match average
7.33 1.95
Yellow cards per match average
1 1.7

Interesting facts about the team Nairobi United

General
Nairobi United
Opponents

Interesting facts about the team Azam

General
Azam
Opponents

Brief Overview

Nairobi United - Azam, match scheduled for 25.01.2026. We don't know yet who will be the referee. The clubs' head-to-head meetings have so far only been seen within one league. Команды - нечастые противники на одном поле. На текущий момент они встерчались только в рамках одного сезона.

This is the LIVE match center Nairobi United - Azam 25.01.2026

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
120% from average (0.83)
1
2
154% from average (1.3)
Possession
103% from average (41.83)
43%
57%
194% from average (29.45)
Corner
67% from average (3)
2
3
68% from average (4.4)
Yellow cards
400% from average (0.5)
2
0
0% from average (0.65)
105% from average (1.9)
Red cards
- from average (0)
0
0
- from average (0)
0% from average (0.05)
Fouls
500% from average (4)
20
9
783% from average (1.15)
177% from average (16.4)
Shots on goal
81% from average (6.17)
5
14
197% from average (7.1)
Shots on target
86% from average (2.33)
2
5
250% from average (2)
Blows past
78% from average (3.83)
3
9
220% from average (4.1)
Blocked Punches
- from average (0)
1
0
0% from average (0.4)
Shots from the penalty area
149% from average (0.67)
1
9
783% from average (1.15)
Shots from outside the penalty area
267% from average (1.5)
4
5
769% from average (0.65)
Passes
270% from average (103.83)
280
382
946% from average (40.4)
Successful passes
287% from average (68.67)
197
300
897% from average (33.45)
Passing accuracy
316% from average (22.17)
70%
79%
958% from average (8.25)
Attacks
132% from average (73.33)
97
100
157% from average (63.85)
Dangerous Attacks
46% from average (26)
12
19
48% from average (39.35)
Offsides
602% from average (0.83)
5
3
1500% from average (0.2)
Saves
909% from average (0.33)
3
1
500% from average (0.2)
Substitutions
41% from average (4.83)
2
4
182% from average (2.2)
Goal kicks
601% from average (2.33)
14
7
1167% from average (0.6)
Trying to score
0% from average (0.83)
0
0
0% from average (0.7)
Free Kicks
225% from average (4)
9
20
755% from average (2.65)
Outs
285% from average (9.83)
28
21
955% from average (2.2)
Playing Safely with a Ball
116% from average (67.5)
78
92
408% from average (22.55)

Match Progress

The match has begun - the first half is underway
0
:
0
Goal
13’
Dancan Omala
1
:
0
Goal
17’
Jephte Kitambala
1
:
1
Substitution
45’+1’
Ovella Ochieng
Charles Waibi
Yellow Card
45’+5’
Charles Waibi
The match has continued - the second half is underway
1
:
1
Substitution
46’
Cheickna Diakité
Zidane Ally Sereri
Substitution
46’
Michael Karamor
Wellington Ochieng
Substitution
73’
Yoro Diaby
Nuru Twalib
Автогол
78’
Ernest Mohammed
1
:
2
Substitution
78’
Enock Machaga
Titus Ssematimba
Substitution
83’
Pascal Msindo
Ahoutou Angenor Zouzou
Substitution
86’
Jephte Kitambala
Mzee Mzee
Yellow Card
88’
Lennox Ogutu
Match Completed
1
:
2

Starting lineups

Player
36
Ernest Mohammed
~
~
~
~
2
Yusuf Mainge
~
~
~
+2
34
Lennox Ogutu
~
1
~
+2
4
John Onyango
~
~
~
+2
12
Kevin Otiende
~
~
~
+1
25
Roy Otieno Okal
~
~
~
+2
24
Lesley Owino
~
~
~
+2
7
Ovella Ochieng
~
~
~
+3
35
Enock Machaga
~
~
~
~
29
Dancan Omala
~
~
1
+3
22
Michael Karamor
~
~
~
+2
Player
28
Zuberi Foba
~
~
~
+1
5
Lusajo Mwaikenda
~
~
~
+2
3
Yoro Diaby
~
~
~
+3
14
Lameck Lawi
~
~
~
+2
12
Pascal Msindo
~
~
~
+2
21
Yahya Zayd
~
~
~
+2
35
Himid Mao Mkami
~
~
~
+3
23
Iddy Seleman Nado
~
~
~
+4
6
Feisal Salum
~
~
~
+3
18
Cheickna Diakité
~
~
~
~
30
Jephte Kitambala
~
~
1
+5

Substitutions

Player
8
Titus Ssematimba
~
~
~
~
10
Muhadjiri Hakizimana
~
~
~
+2
17
Brian Magare
~
~
~
~
26
Brian Omondi
~
~
~
~
32
Kevin Oduir
~
~
~
~
Player
2
James Akaminko
~
~
~
~
7
Zidane Sereri
~
~
~
+2
20
Nathaniel Chilambo
~
~
~
~
24
Yeison David Fuentes Mendoza
~
~
~
~
32
Aishi Salum Manula
~
~
~
~
40
Ahoutou Landry Ahoutou Angenor Zouzou
~
~
~
~

These are detailed team statistics

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These are machine learning-based predictions (Machine Learning, ML)

ML predictions are an exclusive and unique feature of 4SCORE. Our servers run special mathematical algorithms that calculate the strength of teams and perform analysis based on pseudo-random event prediction algorithms. We do not accept these predictions “somewhere”, we developed the system and implemented it ourselves, exclusively for our website. The algorithm uses machine learning technologies and conventional calculation methods. To help the community understand what we offer, we disclose the methodology in a separate article. Important! The match predictions we publish are not a call for betting and are intended solely for “highlight” You need matches or parameters for independent analysis. The ML system does not replace humans!

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These are detailed statistics of head-to-head meetings Nairobi United and Azam before the match 25.01.2026

We offer team statistics for 8 indicators. Fill in the filters below to see the match list and summary data

This tool will help you find the right trend for a match Nairobi United - Azam 25.01.2026

This tool, based on the entered probability, will show the trend operating within that probability for teams, referees, and championships. Learn more about how this tool works