Diambars vs Jaraaf: result 1-2 and analysis
Ligue 1Regular Season - 17Kick-off on April 9, 2017 at 05:00 PM (UTC)Stade Fodé Wade, Saly
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What was the result of Diambars vs Jaraaf?
Jaraaf won 1-2 on April 9, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Diambars have 5 wins, 7 draws and 3 defeats; Jaraaf have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2017 | Ouakam(away) | 1-2 | Ligue 1 |
| Mar 25, 2017 | Mbour Petite Côte(home) | 0-1 | Ligue 1 |
| Mar 18, 2017 | Jaraaf(away) | 1-2 | Ligue 1 |
| Mar 4, 2017 | La Linguère(away) | 0-0 | Ligue 1 |
| Feb 25, 2017 | Casa Sport(home) | 1-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2017 | Génération Foot(home) | 2-3 | Ligue 1 |
| Mar 25, 2017 | Teungueth(away) | 0-1 | Ligue 1 |
| Mar 18, 2017 | Diambars(home) | 2-1 | Ligue 1 |
| Mar 6, 2017 | Ouakam(home) | 3-1 | Ligue 1 |
| Mar 1, 2017 | Gorée(away) | 0-0 | Ligue 1 |
What does the head-to-head say?
Across the last 2 meetings: 0 Diambars wins, 0 draws, 2 Jaraaf wins.
| Date | Score | Competition |
|---|---|---|
| Mar 18, 2017 | Jaraaf 2-1 Diambars | Ligue 1 |
| Nov 5, 2016 | Diambars 1-3 Jaraaf | Ligue 1 |
How many goals should we expect?
Diambars score 0.9 and concede 0.7 goals per match over their last 15; Jaraaf score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diambars | 0.9 | 0.7 | 6 | 8/15 | 4/15 |
| Jaraaf | 1.1 | 0.9 | 5 | 5/15 | 4/15 |
Over the last 15 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Jaraaf | 30 | 9 | 14 | 7 | 21 | 16 | 41 |
A question about Diambars vs Jaraaf?
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