Azam vs Mbao: result 2-1 and analysis
Ligi kuu BaraRegular Season - 22Kick-off on March 11, 2018 at 02:00 PM (UTC)Chamazi Stadium, Mbagala
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What was the result of Azam vs Mbao?
Azam won 2-1 on March 11, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Azam have 8 wins, 5 draws and 2 defeats; Mbao have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 8, 2018 | Mwadui(home) | 1-0 | Ligi kuu Bara |
| Mar 3, 2018 | Singida United(home) | 1-0 | Ligi kuu Bara |
| Feb 16, 2018 | Lipuli(away) | 0-0 | Ligi kuu Bara |
| Feb 11, 2018 | Kagera Sugar(away) | 1-1 | Ligi kuu Bara |
| Feb 7, 2018 | Simba(away) | 0-1 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 7, 2018 | Mbeya City(away) | 1-2 | Ligi kuu Bara |
| Mar 3, 2018 | Tanzania Prisons(away) | 0-1 | Ligi kuu Bara |
| Feb 26, 2018 | Simba(away) | 0-5 | Ligi kuu Bara |
| Feb 11, 2018 | Mtibwa Sugar(home) | 0-0 | Ligi kuu Bara |
| Feb 7, 2018 | Singida United(home) | 1-2 | Ligi kuu Bara |
What does the head-to-head say?
Across the last 3 meetings: 1 Azam win, 1 draw, 1 Mbao win.
| Date | Score | Competition |
|---|---|---|
| Oct 21, 2017 | Mbao 0-0 Azam | Ligi kuu Bara |
| May 6, 2017 | Azam 3-1 Mbao | Ligi kuu Bara |
| Nov 6, 2016 | Mbao 2-1 Azam | Ligi kuu Bara |
How many goals should we expect?
Azam score 1.1 and concede 0.5 goals per match over their last 15; Mbao score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Azam | 1.1 | 0.5 | 9 | 5/15 | 3/15 |
| Mbao | 0.7 | 1.3 | 5 | 6/15 | 6/15 |
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 Azam vs Mbao?
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