Match

CA Batna vs CS Constantine: result 1-4 and analysis

Ligue 1Regular Season - 28Kick-off on May 11, 2013 at 04:00 PM (UTC)Stade Seffouhi, Batna

CA Batna
1-4
CS Constantine

Full time

What was the result of CA Batna vs CS Constantine?

CS Constantine won 1-4 on May 11, 2013.

Goalscorers

  • 15′A. HadioucheCS Constantine
  • 22′Gil Michée N'GomoCA Batna (o.g.)
  • 41′A. HadioucheCS Constantine
  • 85′Ayoub FerhatCS Constantine
  • 88′M. TiaïbaCS Constantine

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; CS Constantine have 7, 7 and 1.

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

CA Batna
DateOpponentScoreCompetition
May 4, 2013CR Belouizdad(away)0-2Ligue 1
Apr 20, 2013MC Oran(home)2-1Ligue 1
Apr 16, 2013JSM Bejaia(away)1-1Ligue 1
Mar 19, 2013ASO Chlef(home)1-0Ligue 1
Mar 9, 2013JSM Skikda(away)0-2Ligue 1
CS Constantine
DateOpponentScoreCompetition
May 4, 2013El Eulma(home)3-0Ligue 1
Apr 20, 2013WA Tlemcen(away)0-0Ligue 1
Apr 6, 2013Bordj BOU Arreridj(home)1-0Ligue 1
Mar 19, 2013JS Kabylie(away)1-1Ligue 1
Mar 9, 2013MC Alger(home)0-0Ligue 1

What does the head-to-head say?

Across the last 3 meetings: 0 CA Batna wins, 1 draw, 2 CS Constantine wins.

DateScoreCompetition
Dec 1, 2012CS Constantine 2-0 CA BatnaLigue 1
Feb 14, 2012CS Constantine 2-1 CA BatnaLigue 1
Oct 1, 2011CA Batna 0-0 CS ConstantineLigue 1

Last archived meeting: CS Constantine vs CA Batna on Dec 1, 2012

How many goals should we expect?

CA Batna score 0.6 and concede 1.1 goals per match over their last 15; CS Constantine score 1.0 and concede 0.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
CA Batna0.61.154/153/15
CS Constantine1.00.495/153/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
6CS Constantine5212987

A question about CA Batna vs CS Constantine?

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 CS Constantine

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