JS Kabylie vs RC Relizane: result 1-0 and analysis
Ligue 1Regular Season - 5Kick-off on September 19, 2015 at 05:00 PM (UTC)Stade du 1er novembre 1954, Algiers
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What was the result of JS Kabylie vs RC Relizane?
JS Kabylie won 1-0 on September 19, 2015.
Goalscorers
- 11′Mohamed El Hadi BoulaouidetJS Kabylie
What is the recent form of both teams?
Over their last 15 matches in all competitions, JS Kabylie have 5 wins, 3 draws and 7 defeats; RC Relizane have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2015 | CR Belouizdad(away) | 1-1 | Ligue 1 |
| Aug 29, 2015 | USM Alger(home) | 0-1 | Ligue 1 |
| Aug 22, 2015 | MO Bejaia(away) | 0-0 | Ligue 1 |
| Aug 15, 2015 | CS Constantine(home) | 0-1 | Ligue 1 |
| May 29, 2015 | CS Constantine(away) | 1-3 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2015 | ES Setif(home) | 1-1 | Ligue 1 |
| Aug 29, 2015 | RC Arba(away) | 1-0 | Ligue 1 |
| Aug 22, 2015 | MC Alger(home) | 1-2 | Ligue 1 |
| Aug 15, 2015 | Tadjenant(away) | 1-2 | Ligue 1 |
| May 22, 2015 | AIN Fakroun(away) | 1-2 | Ligue 2 |
How many goals should we expect?
JS Kabylie score 0.8 and concede 1.0 goals per match over their last 15; RC Relizane score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JS Kabylie | 0.8 | 1.0 | 5 | 6/15 | 5/15 |
| RC Relizane | 1.1 | 1.2 | 4 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | JS Kabylie | 4 | 2 | 1 | 1 | 3 | 2 | 7 |
A question about JS Kabylie vs RC Relizane?
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