ASEC Ndiambour vs Stade de Mbour: result 1-0 and analysis
Ligue 1Regular Season - 12Kick-off on February 25, 2017 at 05:00 PM (UTC)Stade Alboury Ndiaye, Louga
Full time
What was the result of ASEC Ndiambour vs Stade de Mbour?
ASEC Ndiambour won 1-0 on February 25, 2017.
What is the recent form of both teams?
Over their last 10 matches in all competitions, ASEC Ndiambour have 1 win, 5 draws and 4 defeats; Stade de Mbour have 6, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 8, 2017 | Gorée(home) | 2-1 | Ligue 1 |
| Dec 30, 2016 | Génération Foot(home) | 1-2 | Ligue 1 |
| Dec 23, 2016 | Teungueth(away) | 2-2 | Ligue 1 |
| Dec 18, 2016 | Diambars(home) | 1-1 | Ligue 1 |
| Dec 14, 2016 | Ouakam(away) | 2-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 19, 2017 | Génération Foot(home) | 2-0 | Ligue 1 |
| Jan 8, 2017 | Teungueth(away) | 0-2 | Ligue 1 |
| Dec 29, 2016 | Diambars(home) | 0-0 | Ligue 1 |
| Dec 23, 2016 | Ouakam(away) | 0-0 | Ligue 1 |
| Dec 18, 2016 | Mbour Petite Côte(home) | 1-0 | Ligue 1 |
How many goals should we expect?
ASEC Ndiambour score 1.3 and concede 2.0 goals per match over their last 10; Stade de Mbour score 0.8 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ASEC Ndiambour | 1.3 | 2.0 | 1 | 9/10 | 7/10 |
| Stade de Mbour | 0.8 | 0.5 | 7 | 1/11 | 1/11 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Stade de Mbour | 30 | 5 | 18 | 7 | 18 | 21 | 33 |
A question about ASEC Ndiambour vs Stade de Mbour?
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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