Match

USM Alger vs CA Batna: result 3-0 and analysis

Ligue 1Regular Season - 24Kick-off on April 29, 2017 at 04:00 PM (UTC)Stade du 5 Juillet 1962, Algiers

USM Alger
3-0
CA Batna

Full time

What was the result of USM Alger vs CA Batna?

USM Alger won 3-0 on April 29, 2017.

Goalscorers

  • 60′A. BitamUSM Alger (o.g.)
  • 72′O. DarfalouUSM Alger
  • 87′O. DarfalouUSM Alger

What is the recent form of both teams?

Over their last 15 matches in all competitions, USM Alger have 6 wins, 5 draws and 4 defeats; CA Batna have 2, 5 and 8.

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

USM Alger
DateOpponentScoreCompetition
Apr 25, 2017JS Kabylie(away)1-1Ligue 1
Mar 25, 2017RC Relizane(away)0-2Ligue 1
Mar 4, 2017MC Alger(home)2-2Ligue 1
Feb 25, 2017Olympique Medea(away)3-1Ligue 1
Feb 20, 2017CR Belouizdad(home)2-1Ligue 1
CA Batna
DateOpponentScoreCompetition
Apr 21, 2017JS Kabylie(home)0-1Ligue 1
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

What does the head-to-head say?

Across the last 6 meetings: 5 USM Alger wins, 0 draws, 1 CA Batna win.

DateScoreCompetition
Dec 16, 2016USM Alger 1-0 CA BatnaCoupe Nationale
Oct 27, 2016CA Batna 2-1 USM AlgerLigue 1
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 Dec 16, 2016

How many goals should we expect?

USM Alger score 1.1 and concede 0.9 goals per match over their last 15; CA Batna score 0.7 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
USM Alger1.10.957/156/15
CA Batna0.71.246/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
4USM Alger4211537

A question about USM Alger vs CA Batna?

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

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