Match

USM Alger vs JSM Skikda: result 2-0 and analysis

Ligue 1Regular Season - 19Kick-off on January 26, 2019 at 03:00 PM (UTC)Stade du 5 Juillet 1962, Algiers

USM Alger
2-0
JSM Skikda

Full time

What was the result of USM Alger vs JSM Skikda?

USM Alger won 2-0 on January 26, 2019.

Goalscorers

  • 32′F. ChafaïUSM Alger
  • 42′A. ZouariUSM Alger

What is the recent form of both teams?

Over their last 15 matches in all competitions, USM Alger have 8 wins, 4 draws and 3 defeats; JSM Skikda have 6, 4 and 5.

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

USM Alger
DateOpponentScoreCompetition
Jan 22, 2019ES Setif(away)1-3Coupe Nationale
Jan 18, 2019Bordj BOU Arreridj(away)1-1Ligue 1
Jan 15, 2019Hussein Dey(home)4-1Ligue 1
Jan 4, 2019Tadjenant(away)0-1Ligue 1
Dec 31, 2018USM Bel Abbes(home)2-1Coupe Nationale
JSM Skikda
DateOpponentScoreCompetition
Jan 25, 2019WA Tlemcen(home)2-0Ligue 2
Jan 22, 2019MC Oran(away)1-1Ligue 1
Jan 19, 2019RC Relizane(away)0-1Ligue 2
Jan 11, 2019El Eulma(home)2-1Ligue 2
Jan 5, 2019Mostaganem(away)1-0Ligue 2

What does the head-to-head say?

Across the last 6 meetings: 1 USM Alger win, 1 draw, 4 JSM Skikda wins.

DateScoreCompetition
Sep 1, 2018JSM Skikda 3-0 USM AlgerLigue 1
Feb 2, 2018JSM Skikda 1-0 USM AlgerCoupe Nationale
Apr 9, 2016USM Alger 1-2 JSM SkikdaLigue 1
Nov 24, 2015JSM Skikda 1-1 USM AlgerLigue 1
May 9, 2015JSM Skikda 3-2 USM AlgerLigue 1
Nov 29, 2014USM Alger 3-1 JSM SkikdaLigue 1

Last archived meeting: JSM Skikda vs USM Alger on Sep 1, 2018

How many goals should we expect?

USM Alger score 1.6 and concede 0.9 goals per match over their last 15; JSM Skikda score 0.8 and concede 0.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
USM Alger1.60.958/157/15
JSM Skikda0.80.684/153/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
5USM Alger63218511

A question about USM Alger vs JSM Skikda?

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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