Match

CA Batna vs USM Alger: result 2-1 and analysis

Ligue 1Regular Season - 9Kick-off on October 27, 2016 at 02:00 PM (UTC)Stade Seffouhi, Batna

CA Batna
2-1
USM Alger

Full time

What was the result of CA Batna vs USM Alger?

CA Batna won 2-1 on October 27, 2016.

Goalscorers

  • 20′Mohamed Rabie MeftahCA Batna (o.g.)
  • 63′Lazhar Hadj AïssaCA Batna
  • 90′M. BenyahiaUSM Alger

What is the recent form of both teams?

Over their last 15 matches in all competitions, CA Batna have 4 wins, 4 draws and 7 defeats; USM Alger have 8, 2 and 5.

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

CA Batna
DateOpponentScoreCompetition
Oct 22, 2016ES Setif(away)0-2Ligue 1
Oct 14, 2016MC Oran(home)2-2Ligue 1
Sep 30, 2016Hussein Dey(away)0-2Ligue 1
Sep 24, 2016JS Kabylie(away)1-1Ligue 1
Sep 17, 2016Usm El Harrach(home)1-0Ligue 1
USM Alger
DateOpponentScoreCompetition
Oct 22, 2016JS Kabylie(home)2-1Ligue 1
Oct 13, 2016MC Alger(away)1-2Ligue 1
Oct 1, 2016Olympique Medea(home)3-2Ligue 1
Sep 24, 2016CR Belouizdad(away)1-0Ligue 1
Sep 17, 2016CS Constantine(home)1-0Ligue 1

What does the head-to-head say?

Across the last 4 meetings: 0 CA Batna win(s), 0 draw(s), 4 USM Alger win(s).

DateScoreCompetition
Feb 2, 2013USM Alger 2-0 CA BatnaLigue 1
Sep 29, 2012CA Batna 0-3 USM AlgerLigue 1
Jan 21, 2012CA Batna 0-1 USM AlgerLigue 1
Sep 10, 2011USM Alger 1-0 CA BatnaLigue 1

Last archived meeting: USM Alger vs CA Batna on Feb 2, 2013

How many goals should we expect?

CA Batna score 0.8 and concede 1.0 goals per match over their last 15; USM Alger score 1.6 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
CA Batna0.81.044/152/15
USM Alger1.61.166/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

The current season has no played match yet: final standings of the 2025-26 season.

Final 2025-26 standings
#ClubPWDLGFGAPts
10USM Alger308157342939

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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Next match: CA Batna and USM Alger

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