Mtibwa Sugar vs African Lyon: result 1-0 and analysis
Ligi kuu BaraRegular Season - 7Kick-off on October 2, 2016 at 12:00 PM (UTC)Manungu Stadium, Turiani
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What was the result of Mtibwa Sugar vs African Lyon?
Mtibwa Sugar won 1-0 on October 2, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mtibwa Sugar have 6 wins, 3 draws and 6 defeats; African Lyon have 1, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2016 | Mbao(home) | 1-1 | Ligi kuu Bara |
| Sep 17, 2016 | Kagera Sugar(home) | 2-0 | Ligi kuu Bara |
| Sep 11, 2016 | Simba(away) | 0-2 | Ligi kuu Bara |
| Sep 3, 2016 | Maji Maji(away) | 2-1 | Ligi kuu Bara |
| Aug 27, 2016 | Ndanda(home) | 2-1 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2016 | Kagera Sugar(home) | 0-2 | Ligi kuu Bara |
| Sep 20, 2016 | Toto Africans(home) | 0-0 | Ligi kuu Bara |
| Sep 12, 2016 | Mbao(home) | 3-1 | Ligi kuu Bara |
| Sep 3, 2016 | Ruvu Stars(away) | 0-0 | Ligi kuu Bara |
| Aug 28, 2016 | Young Africans(away) | 0-3 | Ligi kuu Bara |
How many goals should we expect?
Mtibwa Sugar score 0.9 and concede 0.9 goals per match over their last 15; African Lyon score 0.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mtibwa Sugar | 0.9 | 0.9 | 3 | 6/15 | 3/15 |
| African Lyon | 0.7 | 1.2 | 2 | 2/6 | 2/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Mtibwa Sugar | 27 | 6 | 9 | 12 | 23 | 41 | 27 |
A question about Mtibwa Sugar vs African Lyon?
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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