JS Saoura vs JS Kabylie: result 1-0 and analysis
Ligue 1Regular Season - 6Kick-off on October 1, 2016 at 06:00 PM (UTC)Stade du 20 Août 1955, Bechar
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What was the result of JS Saoura vs JS Kabylie?
JS Saoura won 1-0 on October 1, 2016.
Goalscorers
- 61′H. ZaidiJS Saoura
What is the recent form of both teams?
Over their last 5 matches in all competitions, JS Saoura have 1 win, 1 draw and 3 defeats; JS Kabylie have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2016 | RC Relizane(away) | 0-3 | Ligue 1 |
| Sep 17, 2016 | Olympique Medea(home) | 1-1 | Ligue 1 |
| Sep 8, 2016 | CR Belouizdad(away) | 0-1 | Ligue 1 |
| Aug 27, 2016 | CS Constantine(home) | 1-0 | Ligue 1 |
| Aug 20, 2016 | Tadjenant(away) | 0-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2016 | CA Batna(home) | 1-1 | Ligue 1 |
| Sep 17, 2016 | ES Setif(away) | 0-0 | Ligue 1 |
| Sep 10, 2016 | Usm El Harrach(home) | 0-0 | Ligue 1 |
| Aug 26, 2016 | Hussein Dey(away) | 1-0 | Ligue 1 |
| Aug 20, 2016 | MC Alger(home) | 0-0 | Ligue 1 |
How many goals should we expect?
JS Saoura score 0.4 and concede 1.4 goals per match over their last 5; JS Kabylie score 0.8 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JS Saoura | 0.4 | 1.4 | 1 | 1/5 | 1/5 |
| JS Kabylie | 0.8 | 0.6 | 9 | 4/15 | 3/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
JS Saoura sit 15th in Ligue 1 (2 points from 4 matches) and JS Kabylie sit 7th (7 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | JS Kabylie | 4 | 2 | 1 | 1 | 3 | 2 | 7 |
| 15 | JS Saoura | 4 | 0 | 2 | 2 | 0 | 5 | 2 |
A question about JS Saoura vs JS Kabylie?
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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