Young Africans vs Azam: result 1-1 and analysis
Ligi kuu BaraRegular Season - 7Kick-off on October 17, 2015 at 01:00 PM (UTC)Benjamin Mkapa National Stadium, Dar-es-Salaam
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What was the result of Young Africans vs Azam?
Young Africans and Azam drew 1-1 on October 17, 2015.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Young Africans have 5 wins, 0 draws and 0 defeats; Azam have 5, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2015 | Mtibwa Sugar(away) | 2-0 | Ligi kuu Bara |
| Sep 26, 2015 | Simba(away) | 2-0 | Ligi kuu Bara |
| Sep 19, 2015 | Ruvu Stars(home) | 4-1 | Ligi kuu Bara |
| Sep 16, 2015 | Tanzania Prisons(home) | 3-0 | Ligi kuu Bara |
| Sep 13, 2015 | Coastal Union(home) | 2-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2015 | Coastal Union(home) | 2-0 | Ligi kuu Bara |
| Sep 27, 2015 | Mbeya City(home) | 2-1 | Ligi kuu Bara |
| Sep 20, 2015 | Mwadui(away) | 1-0 | Ligi kuu Bara |
| Sep 16, 2015 | Stand United(away) | 2-0 | Ligi kuu Bara |
| Sep 12, 2015 | Tanzania Prisons(home) | 2-1 | Ligi kuu Bara |
How many goals should we expect?
Young Africans score 2.6 and concede 0.2 goals per match over their last 5; Azam score 1.8 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Young Africans | 2.6 | 0.2 | 4 | 1/5 | 2/5 |
| Azam | 1.8 | 0.4 | 3 | 2/5 | 2/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
Young Africans sit 2nd in Ligi kuu Bara (18 points from 7 matches) and Azam sit 3rd (17 points from 8 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Young Africans | 7 | 6 | 0 | 1 | 17 | 4 | 18 |
| 3 | Azam | 8 | 5 | 2 | 1 | 13 | 7 | 17 |
A question about Young Africans vs Azam?
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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