Stand United vs Azam: result 1-0 and analysis
Ligi kuu BaraRegular Season - 9Kick-off on October 12, 2016 at 12:00 PM (UTC)Kambarage Stadium, Shinyanga
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What was the result of Stand United vs Azam?
Stand United won 1-0 on October 12, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Stand United have 7 wins, 5 draws and 3 defeats; Azam have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2016 | Mbeya City(away) | 0-0 | Ligi kuu Bara |
| Oct 2, 2016 | Maji Maji(away) | 2-0 | Ligi kuu Bara |
| Sep 25, 2016 | Young Africans(home) | 1-0 | Ligi kuu Bara |
| Sep 18, 2016 | Ruvu Stars(home) | 2-1 | Ligi kuu Bara |
| Sep 10, 2016 | Mwadui(away) | 2-2 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 10, 2016 | Mbeya City(away) | 2-1 | Ligi kuu Bara |
| Sep 7, 2016 | Tanzania Prisons(away) | 1-0 | Ligi kuu Bara |
What does the head-to-head say?
Across the last 2 meetings: 0 Stand United wins, 0 draws, 2 Azam wins.
| Date | Score | Competition |
|---|---|---|
| Mar 16, 2016 | Azam 1-0 Stand United | Ligi kuu Bara |
| Sep 16, 2015 | Stand United 0-2 Azam | Ligi kuu Bara |
How many goals should we expect?
Stand United score 1.1 and concede 0.8 goals per match over their last 15; Azam score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stand United | 1.1 | 0.8 | 8 | 7/15 | 6/15 |
| Azam | 1.5 | 0.9 | 5 | 9/15 | 8/15 |
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 Stand United 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