Mtibwa Sugar vs Simba: result 0-1 and analysis
Ligi kuu BaraRegular Season - 29Kick-off on May 15, 2016 at 01:00 PM (UTC)Manungu Stadium, Turiani
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What was the result of Mtibwa Sugar vs Simba?
Simba won 0-1 on May 15, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mtibwa Sugar have 5 wins, 5 draws and 5 defeats; Simba have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2016 | JKT Mgambo(away) | 1-1 | Ligi kuu Bara |
| Apr 30, 2016 | Mbeya City(home) | 1-0 | Ligi kuu Bara |
| Apr 16, 2016 | Young Africans(away) | 0-1 | Ligi kuu Bara |
| Apr 13, 2016 | Azam(home) | 0-1 | Ligi kuu Bara |
| Apr 9, 2016 | Tanzania Prisons(home) | 1-1 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2016 | Vipers(away) | 0-0 | Premier League |
| May 11, 2016 | Maji Maji(away) | 0-0 | Ligi kuu Bara |
| May 7, 2016 | Mwadui(home) | 0-1 | Ligi kuu Bara |
| May 1, 2016 | Azam(home) | 0-0 | Ligi kuu Bara |
| Apr 26, 2016 | KCCA(home) | 1-0 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Mtibwa Sugar win(s), 0 draw(s), 1 Simba win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 16, 2016 | Simba 1-0 Mtibwa Sugar | Ligi kuu Bara |
Last archived meeting: Simba vs Mtibwa Sugar on Jan 16, 2016
How many goals should we expect?
Mtibwa Sugar score 0.9 and concede 0.8 goals per match over their last 15; Simba score 0.9 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mtibwa Sugar | 0.9 | 0.8 | 4 | 6/15 | 4/15 |
| Simba | 0.9 | 0.5 | 9 | 1/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Simba | 3 | 3 | 0 | 0 | 6 | 2 | 9 |
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