KMC vs Kagera Sugar: result 1-2 and analysis
Ligi kuu BaraRegular Season - 10Kick-off on November 8, 2019 at 03:00 PM (UTC)Benjamin Mkapa National Stadium, Dar-es-Salaam
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What was the result of KMC vs Kagera Sugar?
Kagera Sugar won 1-2 on November 8, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, KMC have 3 wins, 3 draws and 4 defeats; Kagera Sugar have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2019 | Biashara United(home) | 2-1 | Ligi kuu Bara |
| Oct 30, 2019 | Ruvu Shooting(away) | 0-1 | Ligi kuu Bara |
| Oct 22, 2019 | JKT Tanzania(away) | 0-0 | Ligi kuu Bara |
| Sep 29, 2019 | Ndanda(home) | 1-1 | Ligi kuu Bara |
| Sep 25, 2019 | Namungo(home) | 1-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2019 | Azam(away) | 0-0 | Ligi kuu Bara |
| Oct 24, 2019 | Mbeya City(away) | 4-1 | Ligi kuu Bara |
| Oct 19, 2019 | Tanzania Prisons(away) | 1-1 | Ligi kuu Bara |
| Sep 29, 2019 | JKT Tanzania(home) | 0-1 | Ligi kuu Bara |
| Sep 26, 2019 | Simba(home) | 0-3 | Ligi kuu Bara |
How many goals should we expect?
KMC score 0.7 and concede 0.8 goals per match over their last 10; Kagera Sugar score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KMC | 0.7 | 0.8 | 4 | 3/10 | 2/10 |
| Kagera Sugar | 1.3 | 0.7 | 6 | 7/15 | 6/15 |
Over the last 10 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 KMC 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