Match

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

El Bayadh
0-0
JS Kabylie

Full time

What was the result of El Bayadh vs JS Kabylie?

El Bayadh and JS Kabylie drew 0-0 on September 24, 2022.

Official lineup for El Bayadh vs JS Kabylie

The starting elevens fielded at kick-off.

El Bayadh

  1. AA. Ghorab
  2. II. Moussaoui
  3. AA. Ghenam
  1. SS. Matallah
  2. DD. Belalem
  3. OO. Embarek
  1. MM. Barka
  2. YY. Ouassa
  3. BB. Kouar
  4. AA. Berriah
  1. ZZ. Bouziani

JS Kabylie

  1. MM. Alili
  2. DD. Mouaki
  1. CC. Harrag
  2. SS. Boukhanchouche
  3. MM. Boumechra
  4. YY. Guenina
  1. KK. Bouhakak
  2. MM. Guemroud
  3. FF. Talah
  4. SS. Cheraitia
  1. YY. Sidi Salah
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What is the recent form of both teams?

Over their last 15 matches in all competitions, El Bayadh have 11 wins, 1 draw 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.

El Bayadh
DateOpponentScoreCompetition
Sep 16, 2022US Biskra(away)0-1Ligue 1
Sep 9, 2022Khenchela(home)2-0Ligue 1
Sep 3, 2022JS Saoura(home)2-0Ligue 1
Aug 27, 2022USM Alger(away)0-1Ligue 1
May 21, 2022MC Saida(home)3-0Ligue 2
JS Kabylie
DateOpponentScoreCompetition
Sep 18, 2022Casa Sport(home)3-0CAF Champions League
Sep 11, 2022Casa Sport(away)0-1CAF Champions League
Sep 6, 2022USM Alger(away)0-1Ligue 1
Sep 1, 2022CS Constantine(home)0-1Ligue 1
Aug 26, 2022ASO Chlef(away)0-1Ligue 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.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
El Bayadh1.70.3102/154/15
JS Kabylie1.00.773/154/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
4JS Kabylie53117310

A question about El Bayadh vs JS Kabylie?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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

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