Stade de Mbour vs Niarry Tally: result 0-1 and analysis
Ligue 1Regular Season - 13Kick-off on March 5, 2017 at 05:00 PM (UTC)Stade Caroline Faye, Mbour
Full time
What was the result of Stade de Mbour vs Niarry Tally?
Niarry Tally won 0-1 on March 5, 2017.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Stade de Mbour have 6 wins, 2 draws and 4 defeats; Niarry Tally have 6, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2017 | ASEC Ndiambour(away) | 0-1 | Ligue 1 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 1, 2017 | ASEC Ndiambour(home) | 4-1 | Ligue 1 |
| Feb 25, 2017 | Gorée(home) | 0-0 | Ligue 1 |
| Feb 18, 2017 | APEJES Academy(home) | 2-1 | CAF Confederation Cup |
| Feb 12, 2017 | APEJES Academy(away) | 0-1 | CAF Confederation Cup |
| Jan 7, 2017 | Génération Foot(away) | 0-2 | Ligue 1 |
How many goals should we expect?
Stade de Mbour score 0.8 and concede 0.5 goals per match over their last 12; Niarry Tally score 1.4 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stade de Mbour | 0.8 | 0.5 | 7 | 1/12 | 1/12 |
| Niarry Tally | 1.4 | 0.7 | 5 | 5/14 | 4/14 |
Over the last 12 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 Stade de Mbour vs Niarry Tally?
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