Kagera Sugar vs KMC: result 1-1 and analysis
Ligi kuu BaraRegular Season - 32Kick-off on June 27, 2020 at 01:00 PM (UTC)Kaitaba Stadium, Bukoba
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What was the result of Kagera Sugar vs KMC?
Kagera Sugar and KMC drew 1-1 on June 27, 2020.
Goalscorers
- 22′?KMC
- 40′?Kagera Sugar
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kagera Sugar have 6 wins, 2 draws and 7 defeats; KMC have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 24, 2020 | Azam(home) | 1-0 | Ligi kuu Bara |
| Jun 20, 2020 | Namungo(away) | 0-2 | Ligi kuu Bara |
| Mar 14, 2020 | Lipuli(away) | 1-0 | Ligi kuu Bara |
| Mar 10, 2020 | Ndanda(away) | 1-2 | Ligi kuu Bara |
| Mar 7, 2020 | Mtibwa Sugar(away) | 1-3 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 24, 2020 | Biashara United(away) | 0-4 | Ligi kuu Bara |
| Jun 20, 2020 | Ruvu Shooting(home) | 2-1 | Ligi kuu Bara |
| Mar 15, 2020 | Alliance(home) | 2-1 | Ligi kuu Bara |
| Mar 12, 2020 | Young Africans(home) | 1-0 | Ligi kuu Bara |
| Mar 7, 2020 | Mbao(home) | 2-0 | Ligi kuu Bara |
What does the head-to-head say?
In the last meeting: 1 Kagera Sugar win, 0 draws, 0 KMC wins.
| Date | Score | Competition |
|---|---|---|
| Nov 8, 2019 | KMC 1-2 Kagera Sugar | Ligi kuu Bara |
How many goals should we expect?
Kagera Sugar score 1.2 and concede 1.1 goals per match over their last 15; KMC score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kagera Sugar | 1.2 | 1.1 | 6 | 6/15 | 7/15 |
| KMC | 1.1 | 1.3 | 6 | 6/15 | 7/15 |
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 KMC?
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