Match

ES Setif vs JSM Skikda: result 3-0 and analysis

Ligue 1Regular Season - 21Kick-off on February 26, 2016 at 03:00 PM (UTC)Stade du 8 Mai 1945, Sétif

ES Setif
3-0
JSM Skikda

Full time

What was the result of ES Setif vs JSM Skikda?

ES Setif won 3-0 on February 26, 2016.

Goalscorers

  • 42′Z. HaddoucheES Setif
  • 63′Mourad DelhoumES Setif
  • 90′Z. HaddoucheES Setif

What is the recent form of both teams?

Over their last 15 matches in all competitions, ES Setif have 4 wins, 7 draws and 4 defeats; JSM Skikda have 6, 5 and 4.

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

ES Setif
DateOpponentScoreCompetition
Feb 9, 2016MO Bejaia(away)0-0Ligue 1
Feb 5, 2016RC Relizane(home)0-0Ligue 1
Jan 29, 2016CS Constantine(away)0-1Ligue 1
Jan 23, 2016USM Alger(home)1-1Ligue 1
Jan 15, 2016MC Oran(away)2-1Ligue 1
JSM Skikda
DateOpponentScoreCompetition
Feb 26, 2016Paradou AC(away)1-1Ligue 2
Feb 12, 2016Hussein Dey(home)4-0Ligue 1
Feb 12, 2016AIN Fakroun(home)1-1Ligue 2
Feb 6, 2016RC Arba(away)1-0Ligue 1
Feb 5, 2016US Chaouia(home)2-1Ligue 2

What does the head-to-head say?

Across the last 6 meetings: 5 ES Setif wins, 1 draw, 0 JSM Skikda wins.

DateScoreCompetition
Sep 28, 2015JSM Skikda 1-1 ES SetifLigue 1
Feb 14, 2015ES Setif 3-0 JSM SkikdaLigue 1
Nov 14, 2014JSM Skikda 1-2 ES SetifLigue 1
May 3, 2014JSM Skikda 0-3 ES SetifLigue 1
Nov 9, 2013ES Setif 1-0 JSM SkikdaLigue 1
Feb 9, 2013ES Setif 1-0 JSM SkikdaLigue 1

Last archived meeting: JSM Skikda vs ES Setif on Sep 28, 2015

How many goals should we expect?

ES Setif score 0.5 and concede 0.5 goals per match over their last 15; JSM Skikda score 1.3 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
ES Setif0.50.583/151/15
JSM Skikda1.30.766/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
9ES Setif5122645

A question about ES Setif 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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