Kagera Sugar vs Mbao: result 2-1 and analysis
Ligi kuu BaraRegular Season - 29Kick-off on May 13, 2017 at 12:00 PM (UTC)Kaitaba Stadium, Bukoba
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What was the result of Kagera Sugar vs Mbao?
Kagera Sugar won 2-1 on May 13, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kagera Sugar have 8 wins, 5 draws and 2 defeats; Mbao have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2017 | Young Africans(away) | 1-2 | Ligi kuu Bara |
| May 6, 2017 | Ruvu Shooting(away) | 1-1 | Ligi kuu Bara |
| Apr 8, 2017 | Ruvu Stars(home) | 0-0 | Ligi kuu Bara |
| Apr 2, 2017 | Simba(home) | 2-1 | Ligi kuu Bara |
| Mar 4, 2017 | Maji Maji(home) | 1-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | Azam(away) | 1-3 | Ligi kuu Bara |
| Apr 16, 2017 | Tanzania Prisons(home) | 1-0 | Ligi kuu Bara |
| Apr 10, 2017 | Simba(home) | 2-3 | Ligi kuu Bara |
| Mar 4, 2017 | Toto Africans(away) | 0-2 | Ligi kuu Bara |
| Feb 21, 2017 | Maji Maji(home) | 0-0 | Ligi kuu Bara |
What does the head-to-head say?
In the last meeting: 1 Kagera Sugar win, 0 draws, 0 Mbao wins.
| Date | Score | Competition |
|---|---|---|
| Nov 3, 2016 | Mbao 0-2 Kagera Sugar | Ligi kuu Bara |
How many goals should we expect?
Kagera Sugar score 1.3 and concede 0.7 goals per match over their last 15; Mbao score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kagera Sugar | 1.3 | 0.7 | 7 | 8/15 | 6/15 |
| Mbao | 1.0 | 1.3 | 6 | 4/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 14 | Kagera Sugar | 7 | 1 | 2 | 4 | 8 | 15 | 5 |
A question about Kagera Sugar vs Mbao?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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