Mtibwa Sugar vs Singida United: result 0-0 and analysis
Ligi kuu BaraRegular Season - 8Kick-off on October 29, 2017 at 12:00 PM (UTC)Manungu Stadium, Turiani
Full time
What was the result of Mtibwa Sugar vs Singida United?
Mtibwa Sugar and Singida United drew 0-0 on October 29, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mtibwa Sugar have 6 wins, 9 draws and 0 defeats; Singida United have 3, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2017 | Tanzania Prisons(home) | 1-0 | Ligi kuu Bara |
| Oct 15, 2017 | Simba(away) | 1-1 | Ligi kuu Bara |
| Oct 1, 2017 | Young Africans(away) | 0-0 | Ligi kuu Bara |
| Sep 24, 2017 | Ruvu Shooting(away) | 1-1 | Ligi kuu Bara |
| Sep 16, 2017 | Mbao(home) | 2-1 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 16, 2017 | Stand United(away) | 1-0 | Ligi kuu Bara |
How many goals should we expect?
Mtibwa Sugar score 1.0 and concede 0.5 goals per match over their last 15; Singida United score 0.9 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mtibwa Sugar | 1.0 | 0.5 | 9 | 6/15 | 3/15 |
| Singida United | 0.9 | 0.6 | 4 | 3/7 | 2/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Mtibwa Sugar | 27 | 6 | 9 | 12 | 23 | 41 | 27 |
A question about Mtibwa Sugar vs Singida United?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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