Génération Foot vs DSC: result 2-1 and analysis
Ligue 1Regular Season - 9Kick-off on January 20, 2018 at 04:00 PM (UTC)Stade Djiby Diagne, Deni Biram Ndao
Full time
What was the result of Génération Foot vs DSC?
Génération Foot won 2-1 on January 20, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Génération Foot have 11 wins, 3 draws and 1 defeat; DSC have 1, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 14, 2018 | Guédiawaye(away) | 4-2 | Ligue 1 |
| Jan 6, 2018 | Teungueth(home) | 1-0 | Ligue 1 |
| Dec 31, 2017 | Sonacos(away) | 1-2 | Ligue 1 |
| Dec 23, 2017 | Diambars(home) | 5-1 | Ligue 1 |
| Dec 16, 2017 | ASEC Ndiambour(away) | 1-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 14, 2018 | Teungueth(home) | 0-2 | Ligue 1 |
| Jan 6, 2018 | Diambars(away) | 0-0 | Ligue 1 |
| Dec 31, 2017 | La Linguère(home) | 0-0 | Ligue 1 |
| Dec 23, 2017 | Niarry Tally(away) | 0-1 | Ligue 1 |
| Dec 17, 2017 | Stade de Mbour(home) | 1-2 | Ligue 1 |
How many goals should we expect?
Génération Foot score 2.5 and concede 0.9 goals per match over their last 15; DSC score 0.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Génération Foot | 2.5 | 0.9 | 6 | 9/15 | 11/15 |
| DSC | 0.5 | 1.1 | 3 | 2/8 | 2/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Génération Foot sit 3rd in Ligue 1 (48 points from 30 matches) and DSC sit 12th (31 points from 30 matches).
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Génération Foot | 30 | 13 | 9 | 8 | 37 | 22 | 48 |
| 12 | DSC | 30 | 5 | 16 | 9 | 24 | 37 | 31 |
A question about Génération Foot vs DSC?
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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