Singida United vs Young Africans: result 0-0 and analysis
Ligi kuu BaraRegular Season - 9Kick-off on November 4, 2017 at 11:00 AM (UTC)Namfua Football Ground, Singida
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What was the result of Singida United vs Young Africans?
Singida United and Young Africans drew 0-0 on November 4, 2017.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Singida United have 3 wins, 4 draws and 1 defeat; Young Africans have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2017 | Mtibwa Sugar(away) | 0-0 | Ligi kuu Bara |
| Oct 21, 2017 | Ndanda(away) | 0-0 | Ligi kuu Bara |
| Oct 14, 2017 | Ruvu Shooting(away) | 0-0 | Ligi kuu Bara |
| Sep 30, 2017 | Azam(away) | 1-1 | Ligi kuu Bara |
| Sep 24, 2017 | Kagera Sugar(home) | 1-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | Simba(home) | 1-1 | Ligi kuu Bara |
| Oct 22, 2017 | Stand United(away) | 4-0 | Ligi kuu Bara |
| Oct 14, 2017 | Kagera Sugar(away) | 2-1 | Ligi kuu Bara |
| Oct 1, 2017 | Mtibwa Sugar(home) | 0-0 | Ligi kuu Bara |
| Sep 23, 2017 | Ndanda(home) | 1-0 | Ligi kuu Bara |
How many goals should we expect?
Singida United score 0.8 and concede 0.5 goals per match over their last 8; Young Africans score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Singida United | 0.8 | 0.5 | 5 | 3/8 | 2/8 |
| Young Africans | 1.3 | 0.7 | 7 | 6/15 | 5/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Young Africans | 7 | 6 | 0 | 1 | 17 | 4 | 18 |
A question about Singida United vs Young Africans?
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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