Simba vs Kagera Sugar: result 3-1 and analysis
Ligi kuu BaraRegular Season - 3Kick-off on September 20, 2015 at 01:00 PM (UTC)Benjamin Mkapa National Stadium, Dar-es-Salaam
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What was the result of Simba vs Kagera Sugar?
Simba won 3-1 on September 20, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Simba have 7 wins, 2 draws and 6 defeats; Kagera Sugar have 1, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2015 | JKT Mgambo(away) | 2-0 | Ligi kuu Bara |
| Sep 15, 2015 | KCCA(away) | 1-2 | Premier League |
| Sep 12, 2015 | African Sports(away) | 1-0 | Ligi kuu Bara |
| Sep 9, 2015 | Bright Stars(away) | 1-1 | Premier League |
| Aug 29, 2015 | Police(home) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2015 | Maji Maji(away) | 0-1 | Ligi kuu Bara |
| Sep 12, 2015 | Mbeya City(away) | 1-0 | Ligi kuu Bara |
How many goals should we expect?
Simba score 1.0 and concede 0.9 goals per match over their last 15; Kagera Sugar score 0.5 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Simba | 1.0 | 0.9 | 6 | 5/15 | 4/15 |
| Kagera Sugar | 0.5 | 0.5 | 1 | 0/2 | 0/2 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Simba sit 1st in Ligi kuu Bara (24 points from 8 matches) and Kagera Sugar sit 14th (5 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Simba | 8 | 8 | 0 | 0 | 19 | 4 | 24 |
| 14 | Kagera Sugar | 7 | 1 | 2 | 4 | 8 | 15 | 5 |
A question about Simba vs Kagera Sugar?
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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