Tusker vs Shabana Prediction
Kenya · Regular Season - 7
Tusker vs Shabana in numbers
Neither Tusker nor Shabana arrives in good form, with no more than one win each from their last five. The match is played in the FKF Premier League on 15 Nov 2026.
Their 6 previous meetings averaged 2.2 goals, with both teams scoring in 3 of them.
Match Forecasts
Both teams to score forecasts not available for this match
Goal forecasts not available for this match
Corner forecasts not available for this match
Card forecasts not available for this match
Team Comparison
Tusker
ShabanaGame State Tendencies
Tusker- Tied at half-time in 60% of matches
- Scores more in 2nd half (1.2 vs 0.3 in first half)
Shabana- Tied at half-time in 60% of matches
Head to Head
Last 6 meetings, all competitions
Tusker1Wins · 17%3Wins · 50%Previous meetings
21/02/2026ShabanaTusker05/10/2025TuskerShabana26/02/2025TuskerShabana11/01/2025ShabanaTusker11/02/2024ShabanaTusker06/10/2023TuskerShabanaRecent Form
Tusker
BandariTuskerTusker
Mara Sugar
Mathare UnitedTusker
Singida Black StarsTuskerTuskerSingida Black Stars
Ulinzi StarsTuskerTusker
Al Ahli Wad MedaniAl Ahli Wad MedaniTuskerTusker
KVZTusker
Rayon SportsShabana
Mombasa EliteShabanaShabana
Kenya PoliceShabana
Migori Youth
AFC LeopardsShabanaShabana
Nairobi United
Posta Rangers FCShabanaShabana
KCB
SofapakaShabana
Bidco UnitedShabanaMara SugarShabanaLeague Table
| # | Team | MP | W | D | L | G | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 |  GOR Mahia | 6 | 4 | 1 | 1 | 9:5 | +4 | 13 | DLWWW |
| 2 | KCB | 6 | 4 | 1 | 1 | 9:5 | +4 | 13 | WWWLW |
| 3 | AFC Leopards | 6 | 2 | 4 | 0 | 4:1 | +3 | 10 | DWDDW |
| 4 | Kenya Police | 6 | 2 | 3 | 1 | 6:5 | +1 | 9 | DWWDL |
| 5 | Shabana | 6 | 2 | 3 | 1 | 5:4 | +1 | 9 | WLDDD |
| 6 | Mara Sugar | 6 | 2 | 3 | 1 | 7:7 | 0 | 9 | WLDDW |
| 7 |  3K | 6 | 2 | 3 | 1 | 7:8 | -1 | 9 | DWLWD |
| 8 |  Murang'a SEAL | 6 | 2 | 2 | 2 | 13:11 | +2 | 8 | DDWLW |
| 9 | Migori Youth | 6 | 1 | 4 | 1 | 6:5 | +1 | 7 | DLWDD |
| 10 | Bandari | 6 | 1 | 4 | 1 | 3:3 | 0 | 7 | WDDLD |
| 11 | Ulinzi Stars | 7 | 1 | 4 | 2 | 6:8 | -2 | 7 | DDWLD |
| 12 | Posta Rangers FC | 6 | 2 | 1 | 3 | 5:9 | -4 | 7 | WLDWL |
| 13 | Tusker | 4 | 2 | 0 | 2 | 6:4 | +2 | 6 | LWLW |
| 14 |  APS Bomet | 6 | 1 | 3 | 2 | 4:3 | +1 | 6 | LDWDL |
| 15 | Nairobi United | 6 | 0 | 5 | 1 | 7:8 | -1 | 5 | DDLDD |
| 16 | Mathare United | 6 | 1 | 2 | 3 | 4:6 | -2 | 5 | LLWDL |
| 17 |  Homeboyz | 5 | 1 | 2 | 2 | 4:6 | -2 | 5 | DLLDW |
| 18 | Mombasa Elite | 6 | 0 | 1 | 5 | 4:11 | -7 | 1 | LLLDL |
| # | Team | MP | G | Pts |
|---|---|---|---|---|
| 1 | GOR Mahia | 6 | 9:5 | 13 |
| 2 | KCB | 6 | 9:5 | 13 |
| 3 | AFC Leopards | 6 | 4:1 | 10 |
| 4 | Kenya Police | 6 | 6:5 | 9 |
| 5 | Shabana | 6 | 5:4 | 9 |
| 6 | Mara Sugar | 6 | 7:7 | 9 |
| 7 | 3K | 6 | 7:8 | 9 |
| 8 | Murang'a SEAL | 6 | 13:11 | 8 |
| 9 | Migori Youth | 6 | 6:5 | 7 |
| 10 | Bandari | 6 | 3:3 | 7 |
| 11 | Ulinzi Stars | 7 | 6:8 | 7 |
| 12 | Posta Rangers FC | 6 | 5:9 | 7 |
| 13 | Tusker | 4 | 6:4 | 6 |
| 14 | APS Bomet | 6 | 4:3 | 6 |
| 15 | Nairobi United | 6 | 7:8 | 5 |
| 16 | Mathare United | 6 | 4:6 | 5 |
| 17 | Homeboyz | 5 | 4:6 | 5 |
| 18 | Mombasa Elite | 6 | 4:11 | 1 |
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About the Tusker vs Shabana forecast
Every forecast on this page comes from the same model inputs: team ratings, recent form, goals scored and conceded, and how these sides have fared against each other.
How to Read These Forecasts
Each percentage is the model's calculated likelihood for that outcome. Above 65% means strong statistical confidence; 45-65% points to a competitive, open match; below 45% means the outcome is statistically less likely. All figures are for information and entertainment only.
Tusker and Shabana in the FKF Premier League table
In the FKF Premier League table, Shabana are 5th and Tusker 13th, 3 points apart. League goal record so far: Tusker 6-4, Shabana 5-4. The full standings are on the FKF Premier League Table 2026 page.
Key Factors for This Match
Some of the data for this fixture is limited, so the model gives it a lower confidence rating.
All forecasts are generated by statistical and machine learning models for informational and entertainment purposes only. They are not guaranteed and do not constitute financial or betting advice.