Match

CA Batna vs JS Kabylie: result 0-1 and analysis

Ligue 1Regular Season - 20Kick-off on April 21, 2017 at 03:00 PM (UTC)Stade Seffouhi, Batna

CA Batna
0-1
JS Kabylie

Full time

What was the result of CA Batna vs JS Kabylie?

JS Kabylie won 0-1 on April 21, 2017.

Goalscorers

  • 50′M. GuemroudJS Kabylie

What is the recent form of both teams?

Over their last 15 matches in all competitions, CA Batna have 3 wins, 5 draws and 7 defeats; JS Kabylie have 5, 6 and 4.

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

CA Batna
DateOpponentScoreCompetition
Mar 10, 2017ES Setif(home)0-2Ligue 1
Mar 3, 2017MC Oran(away)0-0Ligue 1
Feb 24, 2017Hussein Dey(home)0-0Ligue 1
Feb 11, 2017Usm El Harrach(away)1-1Ligue 1
Feb 3, 2017MC Alger(home)1-2Ligue 1
JS Kabylie
DateOpponentScoreCompetition
Apr 16, 2017TP Mazembe(home)0-0CAF Confederation Cup
Apr 9, 2017TP Mazembe(away)0-2CAF Confederation Cup
Apr 5, 2017Hussein Dey(home)2-1Ligue 1
Apr 1, 2017MC Alger(away)0-0Coupe Nationale
Mar 25, 2017MC Alger(away)1-1Ligue 1

What does the head-to-head say?

Across the last 5 meetings: 0 CA Batna wins, 4 draws, 1 JS Kabylie win.

DateScoreCompetition
Sep 24, 2016JS Kabylie 1-1 CA BatnaLigue 1
May 21, 2013CA Batna 2-2 JS KabylieLigue 1
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 Sep 24, 2016

How many goals should we expect?

CA Batna score 0.7 and concede 1.1 goals per match over their last 15; JS Kabylie score 0.7 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
CA Batna0.71.156/155/15
JS Kabylie0.70.883/154/15

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.

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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Next match: CA Batna and JS Kabylie

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