Mtibwa Sugar vs Lipuli: result 0-1 and analysis
Ligi kuu BaraRegular Season - 28Kick-off on May 16, 2018 at 12:00 PM (UTC)Manungu Stadium, Turiani
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What was the result of Mtibwa Sugar vs Lipuli?
Lipuli won 0-1 on May 16, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mtibwa Sugar have 4 wins, 4 draws and 7 defeats; Lipuli have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2018 | Young Africans(home) | 1-0 | Ligi kuu Bara |
| May 6, 2018 | Maji Maji(away) | 0-0 | Ligi kuu Bara |
| Apr 28, 2018 | Azam(home) | 0-1 | Ligi kuu Bara |
| Apr 16, 2018 | Kagera Sugar(away) | 1-2 | Ligi kuu Bara |
| Apr 12, 2018 | Ndanda(home) | 1-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2018 | Tanzania Prisons(away) | 0-1 | Ligi kuu Bara |
| Apr 21, 2018 | Simba(home) | 1-1 | Ligi kuu Bara |
| Apr 15, 2018 | Singida United(home) | 1-0 | Ligi kuu Bara |
| Apr 11, 2018 | Mwadui(away) | 1-2 | Ligi kuu Bara |
| Apr 6, 2018 | Mbao(away) | 0-0 | Ligi kuu Bara |
What does the head-to-head say?
Across the last 1 meetings: 1 Mtibwa Sugar win(s), 0 draw(s), 0 Lipuli win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 13, 2018 | Lipuli 0-1 Mtibwa Sugar | Ligi kuu Bara |
Last archived meeting: Lipuli vs Mtibwa Sugar on Jan 13, 2018
How many goals should we expect?
Mtibwa Sugar score 0.7 and concede 0.9 goals per match over their last 15; Lipuli score 0.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mtibwa Sugar | 0.7 | 0.9 | 8 | 5/15 | 6/15 |
| Lipuli | 0.7 | 0.8 | 7 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Mtibwa Sugar | 27 | 6 | 9 | 12 | 23 | 41 | 27 |
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