Azam vs Mtibwa Sugar: result 1-1 and analysis
Ligi kuu BaraRegular Season - 11Kick-off on October 19, 2016 at 12:00 PM (UTC)Chamazi Stadium, Mbagala
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What was the result of Azam vs Mtibwa Sugar?
Azam and Mtibwa Sugar drew 1-1 on October 19, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Azam have 6 wins, 6 draws and 3 defeats; Mtibwa Sugar have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2016 | Young Africans(home) | 0-0 | Ligi kuu Bara |
| Oct 12, 2016 | Stand United(away) | 0-1 | Ligi kuu Bara |
| Oct 2, 2016 | Ruvu Shooting(home) | 2-2 | Ligi kuu Bara |
| Sep 24, 2016 | Ndanda(away) | 1-2 | Ligi kuu Bara |
| Sep 17, 2016 | Simba(home) | 0-1 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Tanzania Prisons(home) | 0-0 | Ligi kuu Bara |
| Oct 12, 2016 | Young Africans(away) | 1-3 | Ligi kuu Bara |
| Oct 8, 2016 | Ruvu Stars(away) | 0-0 | Ligi kuu Bara |
| Oct 2, 2016 | African Lyon(home) | 1-0 | Ligi kuu Bara |
| Sep 24, 2016 | Mbao(home) | 1-1 | Ligi kuu Bara |
What does the head-to-head say?
Across the last 2 meetings: 2 Azam wins, 0 draws, 0 Mtibwa Sugar wins.
| Date | Score | Competition |
|---|---|---|
| Apr 13, 2016 | Mtibwa Sugar 0-1 Azam | Ligi kuu Bara |
| Dec 30, 2015 | Azam 1-0 Mtibwa Sugar | Ligi kuu Bara |
How many goals should we expect?
Azam score 1.3 and concede 0.9 goals per match over their last 15; Mtibwa Sugar score 0.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Azam | 1.3 | 0.9 | 5 | 8/15 | 7/15 |
| Mtibwa Sugar | 0.9 | 0.8 | 6 | 5/15 | 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 Azam vs Mtibwa Sugar?
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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