Kagera Sugar vs Ndanda: result 1-1 and analysis
Ligi kuu BaraRegular Season - 11Kick-off on December 12, 2015 at 01:00 PM (UTC)Kaitaba Stadium, Bukoba
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What was the result of Kagera Sugar vs Ndanda?
Kagera Sugar and Ndanda drew 1-1 on December 12, 2015.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Kagera Sugar have 1 win, 2 draws and 7 defeats; Ndanda have 1, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2015 | Young Africans(home) | 0-2 | Ligi kuu Bara |
| Oct 28, 2015 | Mtibwa Sugar(away) | 0-1 | Ligi kuu Bara |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2015 | Tanzania Prisons(away) | 2-2 | Ligi kuu Bara |
| Oct 28, 2015 | Stand United(home) | 0-0 | Ligi kuu Bara |
| Oct 22, 2015 | Azam(home) | 0-1 | Ligi kuu Bara |
| Oct 17, 2015 | Toto Africans(home) | 0-0 | Ligi kuu Bara |
| Sep 30, 2015 | Maji Maji(away) | 1-1 | Ligi kuu Bara |
How many goals should we expect?
Kagera Sugar score 0.2 and concede 1.3 goals per match over their last 10; Ndanda score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kagera Sugar | 0.2 | 1.3 | 3 | 1/10 | 2/10 |
| Ndanda | 0.7 | 0.9 | 3 | 4/9 | 2/9 |
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 Kagera Sugar vs Ndanda?
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