Kagera Sugar vs Mbeya Kwanza: result 0-2 and analysis
Ligi kuu BaraRegular Season - 10Kick-off on December 22, 2021 at 04:00 PM (UTC)Kaitaba Stadium, Bukoba
Full time
What was the result of Kagera Sugar vs Mbeya Kwanza?
Mbeya Kwanza won 0-2 on December 22, 2021.
Goalscorers
- 36′?Mbeya Kwanza
- 85′?Mbeya Kwanza
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kagera Sugar have 6 wins, 4 draws and 5 defeats; Mbeya Kwanza have 1, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 12, 2021 | Azam(away) | 0-0 | Ligi kuu Bara |
| Nov 26, 2021 | Ruvu Shooting(away) | 1-2 | Ligi kuu Bara |
| Nov 20, 2021 | Geita Gold(home) | 1-2 | Ligi kuu Bara |
| Oct 29, 2021 | KMC(away) | 1-0 | Ligi kuu Bara |
| Oct 22, 2021 | Mtibwa Sugar(home) | 1-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 17, 2021 | Namungo(home) | 0-1 | Ligi kuu Bara |
| Dec 5, 2021 | Coastal Union(away) | 1-2 | Ligi kuu Bara |
| Nov 30, 2021 | Young Africans(home) | 0-2 | Ligi kuu Bara |
| Nov 19, 2021 | Tanzania Prisons(away) | 1-2 | Ligi kuu Bara |
| Nov 1, 2021 | Polisi Tanzania(home) | 2-2 | Ligi kuu Bara |
How many goals should we expect?
Kagera Sugar score 1.0 and concede 0.8 goals per match over their last 15; Mbeya Kwanza score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kagera Sugar | 1.0 | 0.8 | 8 | 6/15 | 6/15 |
| Mbeya Kwanza | 0.9 | 1.3 | 2 | 5/9 | 4/9 |
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 Mbeya Kwanza?
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