Match

CA Batna vs JSM Skikda: result 0-0 and analysis

Ligue 1Regular Season - 8Kick-off on October 23, 2012 at 03:00 PM (UTC)Stade Seffouhi, Batna

CA Batna
0-0
JSM Skikda

Full time

What was the result of CA Batna vs JSM Skikda?

CA Batna and JSM Skikda drew 0-0 on October 23, 2012.

Official lineup for CA Batna vs JSM Skikda

The starting elevens fielded at kick-off.

CA Batna

  1. AAdel El Hadi
  2. RRafik Boulanseur
  3. HHichem Merazka
  1. AAbdelmalek Bitam
  2. HH. Heriat
  1. MMourad Boudjelida
  2. AAbdelkader Benayada
  3. AAmmar Boutria
  4. MMohamed Saïdi
  5. AAli Daïra
  1. OOussama Methazem

JSM Skikda

  1. AA. Belkheir
  2. MMohamed Abdelaziz Tchikou
  3. MM. Benayad
  1. SSekou Bagayoko
  2. KKadour Beldjilali
  3. MMahfoud Amri
  4. NNabil Bousmaha
  1. AAbdelmalek Merbah
  2. AAbdelkader Benmohamed
  3. DDjilali Terbah
  1. AAhmed Sefioune
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What is the recent form of both teams?

Over their last 15 matches in all competitions, CA Batna have 9 wins, 1 draw and 5 defeats; JSM Skikda have 7, 5 and 3.

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

CA Batna
DateOpponentScoreCompetition
Oct 20, 2012USM Bel Abbes(away)0-1Ligue 1
Oct 16, 2012WA Tlemcen(home)1-0Ligue 1
Oct 6, 2012Usm El Harrach(away)0-2Ligue 1
Sep 29, 2012USM Alger(home)0-3Ligue 1
Sep 22, 2012El Eulma(home)2-1Ligue 1
JSM Skikda
DateOpponentScoreCompetition
Oct 20, 2012CS Constantine(home)0-0Ligue 1
Oct 16, 2012El Eulma(away)1-1Ligue 1
Oct 6, 2012ES Setif(home)1-0Ligue 1
Sep 29, 2012Bordj BOU Arreridj(away)1-0Ligue 1
Sep 22, 2012JS Kabylie(home)2-1Ligue 1

How many goals should we expect?

CA Batna score 1.5 and concede 1.3 goals per match over their last 15; JSM Skikda score 1.3 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
CA Batna1.51.356/158/15
JSM Skikda1.30.848/154/15

Over the last 15 matches in all competitions.

A question about CA Batna vs JSM Skikda?

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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