Kagera Sugar vs Lipuli: result 0-0 and analysis
Ligi kuu BaraRegular Season - 30Kick-off on January 27, 2018 at 11:00 AM (UTC)Kaitaba Stadium, Bukoba
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What was the result of Kagera Sugar vs Lipuli?
Kagera Sugar and Lipuli drew 0-0 on January 27, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kagera Sugar have 3 wins, 7 draws and 5 defeats; Lipuli have 3, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 22, 2018 | Simba(home) | 0-0 | Ligi kuu Bara |
| Jan 15, 2018 | Njombe Mji(away) | 0-1 | Ligi kuu Bara |
| Jan 2, 2018 | Mbeya City(away) | 0-0 | Ligi kuu Bara |
| Nov 25, 2017 | Stand United(home) | 0-0 | Ligi kuu Bara |
| Nov 19, 2017 | Mtibwa Sugar(away) | 1-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 19, 2018 | Mbeya City(away) | 0-0 | Ligi kuu Bara |
| Jan 13, 2018 | Mtibwa Sugar(home) | 0-1 | Ligi kuu Bara |
| Dec 30, 2017 | Tanzania Prisons(home) | 0-1 | Ligi kuu Bara |
| Nov 26, 2017 | Simba(away) | 1-1 | Ligi kuu Bara |
| Nov 17, 2017 | Singida United(away) | 0-1 | Ligi kuu Bara |
How many goals should we expect?
Kagera Sugar score 0.5 and concede 0.7 goals per match over their last 15; Lipuli score 0.6 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kagera Sugar | 0.5 | 0.7 | 6 | 5/15 | 2/15 |
| Lipuli | 0.6 | 0.7 | 5 | 5/14 | 2/14 |
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 Lipuli?
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