Mtibwa Sugar vs Kagera Sugar: result 1-0 and analysis
Ligi kuu BaraRegular Season - 9Kick-off on October 28, 2015 at 01:30 PM (UTC)Manungu Stadium, Turiani
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What was the result of Mtibwa Sugar vs Kagera Sugar?
Mtibwa Sugar won 1-0 on October 28, 2015.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Mtibwa Sugar have 5 wins, 1 draw and 1 defeat; Kagera Sugar have 1, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2015 | Ruvu Stars(away) | 0-0 | Ligi kuu Bara |
| Oct 17, 2015 | Coastal Union(away) | 1-0 | Ligi kuu Bara |
| Sep 30, 2015 | Young Africans(home) | 0-2 | Ligi kuu Bara |
| Sep 26, 2015 | Maji Maji(home) | 1-0 | Ligi kuu Bara |
| Sep 20, 2015 | Ndanda(home) | 2-1 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2015 | Coastal Union(away) | 0-1 | Ligi kuu Bara |
| Oct 18, 2015 | JKT Mgambo(away) | 0-2 | Ligi kuu Bara |
| Oct 4, 2015 | Tanzania Prisons(home) | 0-3 | Ligi kuu Bara |
| Sep 30, 2015 | Ruvu Stars(home) | 0-0 | Ligi kuu Bara |
| Sep 26, 2015 | Toto Africans(home) | 0-0 | Ligi kuu Bara |
How many goals should we expect?
Mtibwa Sugar score 1.0 and concede 0.6 goals per match over their last 7; Kagera Sugar score 0.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mtibwa Sugar | 1.0 | 0.6 | 4 | 2/7 | 2/7 |
| Kagera Sugar | 0.3 | 1.3 | 3 | 1/8 | 2/8 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Kagera Sugar | 8 | 1 | 3 | 4 | 9 | 16 | 6 |
A question about Mtibwa Sugar vs Kagera Sugar?
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