Match

CA Batna vs JS Kabylie: result 2-2 and analysis

Ligue 1Regular Season - 30Kick-off on May 21, 2013 at 04:00 PM (UTC)Stade Seffouhi, Batna

CA Batna
2-2
JS Kabylie

Full time

What was the result of CA Batna vs JS Kabylie?

CA Batna and JS Kabylie drew 2-2 on May 21, 2013.

Goalscorers

  • 1′Ahmed MessaâdiaJS Kabylie
  • 60′Ahmed MessaâdiaJS Kabylie
  • 75′A. BitamCA Batna
  • 90′Mohamed El Hadi BendoukhaCA Batna

What is the recent form of both teams?

Over their last 15 matches in all competitions, CA Batna have 4 wins, 3 draws and 8 defeats; JS Kabylie have 6, 5 and 4.

The competition is shown for every match: in pre-season, several of these games are friendlies.

CA Batna
DateOpponentScoreCompetition
May 18, 2013MC Alger(away)0-1Ligue 1
May 11, 2013CS Constantine(home)1-4Ligue 1
May 4, 2013CR Belouizdad(away)0-2Ligue 1
Apr 20, 2013MC Oran(home)2-1Ligue 1
Apr 16, 2013JSM Bejaia(away)1-1Ligue 1
JS Kabylie
DateOpponentScoreCompetition
May 18, 2013El Eulma(home)1-1Ligue 1
May 11, 2013ES Setif(away)1-4Ligue 1
May 4, 2013Bordj BOU Arreridj(home)2-0Ligue 1
Apr 19, 2013USM Bel Abbes(home)2-1Ligue 1
Apr 6, 2013MC Alger(away)1-3Ligue 1

What does the head-to-head say?

Across the last 3 meetings: 0 CA Batna wins, 2 draws, 1 JS Kabylie win.

DateScoreCompetition
Dec 22, 2012JS Kabylie 1-0 CA BatnaLigue 1
Jan 31, 2012CA Batna 0-0 JS KabylieLigue 1
Sep 24, 2011JS Kabylie 1-1 CA BatnaLigue 1

Last archived meeting: JS Kabylie vs CA Batna on Dec 22, 2012

How many goals should we expect?

CA Batna score 0.7 and concede 1.3 goals per match over their last 15; JS Kabylie score 1.2 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
CA Batna0.71.355/154/15
JS Kabylie1.21.259/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
7JS Kabylie4211327

A question about CA Batna vs JS Kabylie?

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

Other matches in the same round

Next match: CA Batna and JS Kabylie

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