Génération Foot vs AJEL: result 1-0 and analysis
Ligue 1Regular Season - 11Kick-off on January 12, 2025 at 04:45 PM (UTC)Stade Lat Dior, Thiès
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What was the result of Génération Foot vs AJEL?
Génération Foot won 1-0 on January 12, 2025.
Goalscorers
- 44′?Génération Foot
What is the recent form of both teams?
Over their last 15 matches in all competitions, Génération Foot have 4 wins, 5 draws and 6 defeats; AJEL have 2, 7 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 5, 2025 | La Linguère(away) | 2-1 | Ligue 1 |
| Dec 22, 2024 | DSC(home) | 0-1 | Ligue 1 |
| Dec 15, 2024 | Gorée(home) | 1-1 | Ligue 1 |
| Dec 7, 2024 | HLM(away) | 0-0 | Ligue 1 |
| Dec 1, 2024 | Sonacos(home) | 1-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 5, 2025 | HLM(away) | 1-0 | Ligue 1 |
| Dec 21, 2024 | Sonacos(away) | 2-2 | Ligue 1 |
| Dec 15, 2024 | Ouakam(home) | 0-0 | Ligue 1 |
| Dec 7, 2024 | Guédiawaye(away) | 1-2 | Ligue 1 |
| Dec 1, 2024 | Casa Sport(away) | 0-0 | Ligue 1 |
How many goals should we expect?
Génération Foot score 0.8 and concede 0.9 goals per match over their last 15; AJEL score 0.7 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Génération Foot | 0.8 | 0.9 | 5 | 7/15 | 5/15 |
| AJEL | 0.7 | 0.6 | 6 | 4/10 | 2/10 |
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 AJEL sit 2nd (54 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | AJEL | 30 | 15 | 9 | 6 | 27 | 19 | 54 |
| 3 | Génération Foot | 30 | 13 | 9 | 8 | 37 | 22 | 48 |
A question about Génération Foot vs AJEL?
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