Maji Maji vs Mtibwa Sugar: result 1-0 and analysis
Ligi kuu BaraRegular Season - 20Kick-off on February 21, 2016 at 01:00 PM (UTC)Majimaji Stadium, Songea
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What was the result of Maji Maji vs Mtibwa Sugar?
Maji Maji won 1-0 on February 21, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Maji Maji have 2 wins, 4 draws and 9 defeats; Mtibwa Sugar have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 13, 2016 | Ndanda(away) | 0-1 | Ligi kuu Bara |
| Feb 7, 2016 | JKT Mgambo(home) | 1-0 | Ligi kuu Bara |
| Feb 3, 2016 | Kagera Sugar(away) | 1-2 | Ligi kuu Bara |
| Jan 30, 2016 | Ruvu Stars(away) | 0-0 | Ligi kuu Bara |
| Jan 21, 2016 | Young Africans(away) | 0-5 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 7, 2016 | Ndanda(away) | 1-1 | Ligi kuu Bara |
| Feb 3, 2016 | Toto Africans(home) | 2-2 | Ligi kuu Bara |
| Jan 30, 2016 | Stand United(home) | 1-0 | Ligi kuu Bara |
| Jan 21, 2016 | African Sports(away) | 0-0 | Ligi kuu Bara |
| Jan 16, 2016 | Simba(away) | 0-1 | Ligi kuu Bara |
What does the head-to-head say?
Across the last 1 meetings: 0 Maji Maji win(s), 0 draw(s), 1 Mtibwa Sugar win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 26, 2015 | Mtibwa Sugar 1-0 Maji Maji | Ligi kuu Bara |
Last archived meeting: Mtibwa Sugar vs Maji Maji on Sep 26, 2015
How many goals should we expect?
Maji Maji score 0.7 and concede 2.0 goals per match over their last 15; Mtibwa Sugar score 1.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maji Maji | 0.7 | 2.0 | 3 | 8/15 | 7/15 |
| Mtibwa Sugar | 1.1 | 0.7 | 8 | 4/15 | 4/15 |
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