Azam vs Kagera Sugar: result 2-0 and analysis
Ligi kuu BaraRegular Season - 13Kick-off on December 27, 2015 at 01:00 PM (UTC)Chamazi Stadium, Mbagala
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What was the result of Azam vs Kagera Sugar?
Azam won 2-0 on December 27, 2015.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Azam have 9 wins, 2 draws and 0 defeats; Kagera Sugar have 2, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 20, 2015 | Maji Maji(away) | 2-1 | Ligi kuu Bara |
| Dec 12, 2015 | Simba(home) | 2-2 | Ligi kuu Bara |
| Nov 1, 2015 | Toto Africans(home) | 5-0 | Ligi kuu Bara |
| Oct 29, 2015 | Ruvu Stars(away) | 4-2 | Ligi kuu Bara |
| Oct 22, 2015 | Ndanda(away) | 1-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 19, 2015 | African Sports(home) | 1-0 | Ligi kuu Bara |
| Dec 12, 2015 | Ndanda(home) | 1-1 | Ligi kuu Bara |
| Oct 31, 2015 | Young Africans(home) | 0-2 | Ligi kuu Bara |
| Oct 28, 2015 | Mtibwa Sugar(away) | 0-1 | Ligi kuu Bara |
| Oct 21, 2015 | Coastal Union(away) | 0-1 | Ligi kuu Bara |
How many goals should we expect?
Azam score 2.2 and concede 0.7 goals per match over their last 11; Kagera Sugar score 0.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Azam | 2.2 | 0.7 | 5 | 6/11 | 6/11 |
| Kagera Sugar | 0.3 | 1.2 | 4 | 2/12 | 2/12 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
Azam sit 3rd in Ligi kuu Bara (17 points from 8 matches) and Kagera Sugar sit 14th (5 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Azam | 8 | 5 | 2 | 1 | 13 | 7 | 17 |
| 14 | Kagera Sugar | 7 | 1 | 2 | 4 | 8 | 15 | 5 |
A question about Azam vs Kagera 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