Azam vs Ruvu Stars: result 1-0 and analysis
Ligi kuu BaraRegular Season - 12Kick-off on October 22, 2016 at 12:00 PM (UTC)Chamazi Stadium, Mbagala
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What was the result of Azam vs Ruvu Stars?
Azam won 1-0 on October 22, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Azam have 5 wins, 7 draws and 3 defeats; Ruvu Stars have 3, 8 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2016 | Mtibwa Sugar(home) | 1-1 | Ligi kuu Bara |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2016 | Kagera Sugar(home) | 0-1 | Ligi kuu Bara |
| Oct 15, 2016 | Mwadui(home) | 1-1 | Ligi kuu Bara |
| Oct 12, 2016 | Tanzania Prisons(home) | 0-0 | Ligi kuu Bara |
| Oct 8, 2016 | Mtibwa Sugar(home) | 0-0 | Ligi kuu Bara |
| Oct 2, 2016 | Mbao(away) | 0-0 | Ligi kuu Bara |
What does the head-to-head say?
Across the last 2 meetings: 1 Azam win(s), 1 draw(s), 0 Ruvu Stars win(s).
| Date | Score | Competition |
|---|---|---|
| May 4, 2016 | Azam 2-2 Ruvu Stars | Ligi kuu Bara |
| Oct 29, 2015 | Ruvu Stars 2-4 Azam | Ligi kuu Bara |
How many goals should we expect?
Azam score 1.2 and concede 0.9 goals per match over their last 15; Ruvu Stars score 0.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Azam | 1.2 | 0.9 | 4 | 9/15 | 7/15 |
| Ruvu Stars | 0.7 | 0.7 | 7 | 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 | 3 | 2 | 1 | 0 | 5 | 3 | 7 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy