Azam FC — Mbeya City
☆ Save matchModel prediction for 28 October
Preliminary forecast: the match is more than a week away. Closer to it the model takes in fresh form, injuries and line-ups, and the numbers may move.
In short
Azam FC are clear favourites: 84% against 4% for the opponent, draw 12%.
2.5 goals expected in total — close to the competition average (2.2).
Over 2.5 goals — 47%, both teams to score — 27%.
Why
- By the strength ratings Azam FC are about 1.4 goals per match stronger.
Probabilities
| Expected goals: Azam FC — Mbeya City What is xG? | 2.2–0.3 | |
| Azam FC not to lose | 96% | |
| Mbeya City not to lose | 16% | |
| No draw | 88% | |
| Both teams to score: yes | 27% | |
| Both teams to score: no | 73% | |
| Total over 2.5 | 47% | |
| Total under 2.5 | 53% |
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All totals and handicaps, team totals, corners and cards, the score grid, every factor and how the estimate moved before kick-off.
- All totals
- Handicap Azam FC
- Azam FC goals
- Mbeya City goals
- Corners and cards
- Full score grid
Form
- 09.10away · Coastal Union2:0
- 16.09Simba SC0:2
- 07.09Namungo FC2:0
- 31.08away · Kagera Sugar2:0
- 28.08away · Geita Gold FC2:2
- 09.10Kagera Sugar1:3
- 12.09away · Polisi Tanzania FC0:2
- 04.09away · TRA United0:0
- 28.08away · Fountain Gate FC2:0
- 23.08Mashujaa2:1
Head to head
- 09.04.2026Mbeya City — Azam FC0:0
- 24.09.2025Azam FC — Mbeya City2:0
Table
| # | Team | P | W | +/− | Pts |
|---|---|---|---|---|---|
| 2 | Young Africans | 7 | 6 | +13 | 18 |
| 3 | Azam FC | 8 | 5 | +6 | 17 |
| 4 | Mashujaa | 8 | 4 | -4 | 12 |
| 7 | Polisi Tanzania FC | 7 | 3 | +1 | 10 |
| 8 | Mbeya City | 7 | 3 | 0 | 10 |
| 9 | JKT Tanzania | 7 | 3 | -2 | 10 |
Tanzania Premier League on the same day
- Fountain Gate FCSimba SCpreliminary515802The model's most likely outcome: 2Model's score: 0:22.6
- Coastal UnionKagera Sugarpreliminary6123151The model's most likely outcome: 1Model's score: 2:02.6
This is the model’s statistical estimate, not a recommendation. An outcome at 84% will not happen in roughly 16 matches out of 100. How to read probabilities →