Match

Hussein Dey vs CA Batna: result 1-2 and analysis

Ligue 1Regular Season - 5Kick-off on October 15, 2011 at 05:00 PM (UTC)Stade Frères Zioui, Algiers

Hussein Dey
1-2
CA Batna

Full time

What was the result of Hussein Dey vs CA Batna?

CA Batna won 1-2 on October 15, 2011.

Goalscorers

  • 25′Hassene Ogbi BenhadouchHussein Dey
  • 40′Ali DaïraCA Batna
  • 83′Ahmed MessaâdiaCA Batna

Official lineup for Hussein Dey vs CA Batna

The starting elevens fielded at kick-off.

Hussein Dey

  1. WW. Derardja
  2. RRabah Hafid
  3. ZZakaria Ahmed Benyahia
  1. RRafik Boussaïd
  2. FF. Allag
  3. HHassene Ogbi Benhadouch
  4. AAbdelhakim Touati
  1. SSid Ahmed Chafik Khedis
  2. SS. Abbès
  3. DD. Benlamri
  1. AA. Nateche

CA Batna

  1. SS. Bouchouk
  2. HHichem Merazka
  1. AAbdelmalek Bitam
  2. AAmine Laid Fezzani
  1. RRafik Boudiaf
  2. YYoussouf Benamara
  3. MMohamed Saïdi
  4. AAli Daïra
  5. IImad Bella
  6. FFrançois Xavier Koufana Eyengue
  1. YYacine Babouche
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What is the recent form of both teams?

Over their last 4 matches in all competitions, Hussein Dey have 0 wins, 2 draws and 2 defeats; CA Batna have 1, 2 and 1.

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

Hussein Dey
DateOpponentScoreCompetition
Oct 1, 2011MC Alger(away)1-1Ligue 1
Sep 24, 2011ASO Chlef(home)1-1Ligue 1
Sep 17, 2011JSM Bejaia(away)0-1Ligue 1
Sep 10, 2011ES Setif(away)2-3Ligue 1
CA Batna
DateOpponentScoreCompetition
Oct 1, 2011CS Constantine(home)0-0Ligue 1
Sep 24, 2011JS Kabylie(away)1-1Ligue 1
Sep 17, 2011MC Saida(home)1-0Ligue 1
Sep 10, 2011USM Alger(away)0-1Ligue 1

How many goals should we expect?

Hussein Dey score 1.0 and concede 1.5 goals per match over their last 4; CA Batna score 0.5 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Hussein Dey1.01.503/41/4
CA Batna0.50.521/40/4

Over the last 4 matches in all competitions.

A question about Hussein Dey vs CA Batna?

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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