MC Saida vs JS Kabylie: result 1-2 and analysis
Ligue 1Regular Season - 11Kick-off on November 26, 2011 at 05:00 PM (UTC)Stade 13 Avril 1958, Saïda
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What was the result of MC Saida vs JS Kabylie?
JS Kabylie won 1-2 on November 26, 2011.
Goalscorers
- 7′Hamza BoulemdaïsJS Kabylie
- 23′Salim HanifiJS Kabylie
- 90′Mohamed SaâdiMC Saida
What is the recent form of both teams?
Over their last 10 matches in all competitions, MC Saida have 3 wins, 2 draws and 5 defeats; JS Kabylie have 4, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2011 | USM Alger(away) | 2-3 | Ligue 1 |
| Nov 19, 2011 | MC Oran(home) | 2-0 | Ligue 1 |
| Nov 4, 2011 | WA Tlemcen(away) | 2-2 | Ligue 1 |
| Oct 29, 2011 | MC Alger(home) | 0-0 | Ligue 1 |
| Oct 22, 2011 | CR Belouizdad(away) | 1-3 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2011 | CS Constantine(home) | 1-0 | Ligue 1 |
| Nov 19, 2011 | USM Alger(home) | 0-0 | Ligue 1 |
| Nov 4, 2011 | MC Oran(away) | 2-1 | Ligue 1 |
| Oct 29, 2011 | Usm El Harrach(home) | 0-1 | Ligue 1 |
| Oct 22, 2011 | El Eulma(away) | 1-1 | Ligue 1 |
How many goals should we expect?
MC Saida score 1.0 and concede 1.1 goals per match over their last 10; JS Kabylie score 0.7 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MC Saida | 1.0 | 1.1 | 4 | 3/10 | 3/10 |
| JS Kabylie | 0.7 | 0.6 | 4 | 3/10 | 1/10 |
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 |
|---|---|---|---|---|---|---|---|---|
| 5 | JS Kabylie | 30 | 11 | 12 | 7 | 40 | 31 | 45 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy