El Bayadh vs JS Kabylie: result 0-0 and analysis
Ligue 1Regular Season - 5Kick-off on September 24, 2022 at 03:30 PM (UTC)Stade Zakaria Medjdoub, El-Bayadh
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What was the result of El Bayadh vs JS Kabylie?
El Bayadh and JS Kabylie drew 0-0 on September 24, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, El Bayadh have 11 wins, 1 draws and 3 defeats; JS Kabylie 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 |
|---|---|---|---|
| Sep 16, 2022 | US Biskra(away) | 0-1 | Ligue 1 |
| Sep 9, 2022 | Khenchela(home) | 2-0 | Ligue 1 |
| Sep 3, 2022 | JS Saoura(home) | 2-0 | Ligue 1 |
| Aug 27, 2022 | USM Alger(away) | 0-1 | Ligue 1 |
| May 21, 2022 | MC Saida(home) | 3-0 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2022 | Casa Sport(home) | 3-0 | CAF Champions League |
| Sep 11, 2022 | Casa Sport(away) | 0-1 | CAF Champions League |
| Sep 6, 2022 | USM Alger(away) | 0-1 | Ligue 1 |
| Sep 1, 2022 | CS Constantine(home) | 0-1 | Ligue 1 |
| Aug 26, 2022 | ASO Chlef(away) | 0-1 | Ligue 1 |
How many goals should we expect?
El Bayadh score 1.7 and concede 0.3 goals per match over their last 15; JS Kabylie score 1.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| El Bayadh | 1.7 | 0.3 | 10 | 2/15 | 4/15 |
| JS Kabylie | 1.0 | 0.7 | 7 | 3/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
El Bayadh sit 16th in Ligue 1 (17 points from 30 matches) and JS Kabylie sit 5th (45 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | JS Kabylie | 30 | 11 | 12 | 7 | 40 | 31 | 45 |
| 16 | El Bayadh | 30 | 2 | 11 | 17 | 17 | 40 | 17 |
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