Mbao vs Azam: result 0-0 and analysis
Ligi kuu BaraRegular Season - 7Kick-off on October 21, 2017 at 01:00 PM (UTC)CCM Kirumba Stadium, Mwanza
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What was the result of Mbao vs Azam?
Mbao and Azam drew 0-0 on October 21, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mbao have 3 wins, 4 draws and 8 defeats; Azam have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2017 | Mbeya City(home) | 2-2 | Ligi kuu Bara |
| Sep 30, 2017 | Tanzania Prisons(home) | 1-1 | Ligi kuu Bara |
| Sep 21, 2017 | Simba(home) | 2-2 | Ligi kuu Bara |
| Sep 16, 2017 | Mtibwa Sugar(away) | 1-2 | Ligi kuu Bara |
| Sep 10, 2017 | Singida United(away) | 1-2 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2017 | Mwadui(away) | 1-1 | Ligi kuu Bara |
| Sep 30, 2017 | Singida United(home) | 1-1 | Ligi kuu Bara |
| Sep 24, 2017 | Lipuli(home) | 1-0 | Ligi kuu Bara |
| Sep 15, 2017 | Kagera Sugar(home) | 1-0 | Ligi kuu Bara |
| Sep 9, 2017 | Simba(home) | 0-0 | Ligi kuu Bara |
What does the head-to-head say?
Across the last 2 meetings: 1 Mbao win, 0 draws, 1 Azam win.
| Date | Score | Competition |
|---|---|---|
| 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?
Mbao score 0.9 and concede 1.5 goals per match over their last 15; Azam score 1.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mbao | 0.9 | 1.5 | 4 | 8/15 | 7/15 |
| Azam | 1.0 | 0.7 | 8 | 4/15 | 3/15 |
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 Mbao 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