FKF Premier League
14/02/2026 • 13:00
Finished
Moi International Sports Centre
Home scorers
- 69'
- 70'
- 90'
Away scorers
- 39' E. Kapaito
Match Timeline
4 events
Key Moments
-
39'TuskerGoalE. Kapaito
-
69'Mathare UnitedGoal
-
70'Mathare UnitedGoal
-
90'Mathare UnitedGoal
39'
Tusker
Goal
by E. Kapaito
69'
Mathare United
Goal
70'
Mathare United
Goal
90'
Mathare United
Goal
Head to Head Record
2
Mathare United wins
3
Draws
5
Tusker wins
10 matches
22 total goals
Recent H2H Form
Mathare United
W
D
W
L
L
Tusker
L
D
L
W
W
Recent H2H Meetings
📅
Competition Stage
Regular Season - 20
Standings
1
GOR Mahia
43
GOR Mahia
2
AFC Leopards
37
AFC Leopards
3
Shabana
34
Shabana
4
Murang'a SEAL
33
Murang'a SEAL
5
Homeboyz
31
Homeboyz
6
Police
30
Police
7
KCB
29
KCB
8
Bandari
28
Bandari
9
Tusker
28
Tusker
10
Nairobi United
25
Nairobi United
11
Mathare United
25
Mathare United
12
Posta Rangers FC
24
Posta Rangers FC
13
Mara Sugar
21
Mara Sugar
14
Ulinzi Stars
18
Ulinzi Stars
15
APS Bomet
18
APS Bomet
16
Kariobangi Sharks
18
Kariobangi Sharks
17
Bidco United
16
Bidco United
18
Sofapaka
14
Sofapaka
1
GOR Mahia
43
GOR Mahia
W
W
W
2
AFC Leopards
37
AFC Leopards
W
W
W
3
Shabana
34
Shabana
D
W
D
4
Murang'a SEAL
33
Murang'a SEAL
W
W
L
5
Homeboyz
31
Homeboyz
W
L
W
6
Police
30
Police
L
W
D
7
KCB
29
KCB
L
W
L
8
Bandari
28
Bandari
W
D
W
9
Tusker
28
Tusker
W
L
L
10
Nairobi United
25
Nairobi United
W
D
L
11
Mathare United
25
Mathare United
D
W
L
12
Posta Rangers FC
24
Posta Rangers FC
D
L
D
13
Mara Sugar
21
Mara Sugar
L
D
D
14
Ulinzi Stars
18
Ulinzi Stars
L
L
D
15
APS Bomet
18
APS Bomet
L
D
L
16
Kariobangi Sharks
18
Kariobangi Sharks
D
L
D
17
Bidco United
16
Bidco United
L
L
D
18
Sofapaka
14
Sofapaka
L
L
D
AI Match Predictions
Prediction Reliability
62%
Most Likely Scores
0-0
67.0%
0-1
13.4%
1-0
13.4%
1-1
2.7%
Both Teams To Score
YES
3%
NO
97%
Likely: Clean sheet
Over/Under Goals
Over 2.5
2.5 Goals
Under 2.5
99%
Over 1%
Under 99%
Over 1.5
1.5 Goals
Under 1.5
94%
Over 6%
Under 94%
Over 3.5
3.5 Goals
Under 3.5
100%
Over 0%
Under 100%
ℹ️ Predictions are generated using Poisson distribution models based on recent team form (home/away splits), expected goals, and historical performance. Confidence scores reflect data quality and pattern clarity.