KenGold vs Azam: result 0-2 and analysis
Ligi kuu BaraRegular Season - 24Kick-off on April 3, 2025 at 01:00 PM (UTC)Sokoine Stadium, Mbeya
Full time
What was the result of KenGold vs Azam?
Azam won 0-2 on April 3, 2025.
Goalscorers
- 28′G. SillahAzam
- 39′?Azam
What is the recent form of both teams?
Over their last 15 matches in all competitions, KenGold have 2 wins, 6 draws and 7 defeats; Azam have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2025 | Mashujaa(home) | 2-2 | Ligi kuu Bara |
| Feb 27, 2025 | JKT Tanzania(away) | 1-1 | Ligi kuu Bara |
| Feb 22, 2025 | KMC(home) | 1-1 | Ligi kuu Bara |
| Feb 18, 2025 | Kagera Sugar(home) | 1-0 | Ligi kuu Bara |
| Feb 14, 2025 | Tabora United(away) | 1-1 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2025 | Tanzania Prisons(home) | 4-0 | Ligi kuu Bara |
| Feb 27, 2025 | Namungo(home) | 1-1 | Ligi kuu Bara |
| Feb 24, 2025 | Simba(away) | 2-2 | Ligi kuu Bara |
| Feb 19, 2025 | Coastal Union(away) | 0-0 | Ligi kuu Bara |
| Feb 15, 2025 | Mashujaa(home) | 2-0 | Ligi kuu Bara |
What does the head-to-head say?
In the last meeting: 0 KenGold wins, 0 draws, 1 Azam win.
| Date | Score | Competition |
|---|---|---|
| Oct 25, 2024 | Azam 4-1 KenGold | Ligi kuu Bara |
How many goals should we expect?
KenGold score 1.1 and concede 1.8 goals per match over their last 15; Azam score 1.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KenGold | 1.1 | 1.8 | 2 | 10/15 | 6/15 |
| Azam | 1.9 | 0.7 | 7 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Azam | 8 | 5 | 2 | 1 | 13 | 7 | 17 |
A question about KenGold vs Azam?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy