Match

JSM Skikda vs USM Alger: result 1-1 and analysis

Ligue 1Regular Season - 10Kick-off on November 24, 2015 at 05:00 PM (UTC)Stade du 20 Août 1955, Skikda

JSM Skikda
1-1
USM Alger

Full time

What was the result of JSM Skikda vs USM Alger?

JSM Skikda and USM Alger drew 1-1 on November 24, 2015.

Goalscorers

  • 52′Saïd SayahJSM Skikda
  • 83′Karim BaitecheUSM Alger

What is the recent form of both teams?

Over their last 15 matches in all competitions, JSM Skikda have 6 wins, 3 draws and 6 defeats; USM Alger have 9, 3 and 3.

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

JSM Skikda
DateOpponentScoreCompetition
Nov 20, 2015RC Relizane(home)2-0Ligue 1
Nov 20, 2015Olympique Medea(home)1-0Ligue 2
Nov 7, 2015Arzew(away)0-2Ligue 2
Nov 6, 2015MO Bejaia(away)1-2Ligue 1
Oct 30, 2015USMM Hadjout(home)2-0Ligue 2
USM Alger
DateOpponentScoreCompetition
Nov 20, 2015ASM Oran(away)2-0Ligue 1
Oct 24, 2015RC Relizane(home)2-2Ligue 1
Oct 20, 2015RC Arba(away)2-1Ligue 1
Oct 17, 2015CR Belouizdad(away)2-1Ligue 1
Oct 12, 2015MO Bejaia(home)3-2Ligue 1

What does the head-to-head say?

Across the last 6 meetings: 1 JSM Skikda win, 2 draws, 3 USM Alger wins.

DateScoreCompetition
May 9, 2015JSM Skikda 3-2 USM AlgerLigue 1
Nov 29, 2014USM Alger 3-1 JSM SkikdaLigue 1
Mar 1, 2014USM Alger 1-0 JSM SkikdaLigue 1
Sep 28, 2013JSM Skikda 0-0 USM AlgerLigue 1
Apr 27, 2013USM Alger 0-0 JSM SkikdaLigue 1
Nov 17, 2012JSM Skikda 0-1 USM AlgerLigue 1

Last archived meeting: JSM Skikda vs USM Alger on May 9, 2015

How many goals should we expect?

JSM Skikda score 1.5 and concede 1.3 goals per match over their last 15; USM Alger score 1.7 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
JSM Skikda1.51.3310/159/15
USM Alger1.71.1410/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
5USM Alger53116310

A question about JSM Skikda vs USM Alger?

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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