Match

JSM Skikda vs JS Kabylie: result 0-1 and analysis

Ligue 1Regular Season - 16Kick-off on January 4, 2019 at 05:00 PM (UTC)Stade du 20 Août 1955, Skikda

JSM Skikda
0-1
JS Kabylie

Full time

What was the result of JSM Skikda vs JS Kabylie?

JS Kabylie won 0-1 on January 4, 2019.

Goalscorers

  • 52′F. Abdul RazakJS Kabylie

What is the recent form of both teams?

Over their last 15 matches in all competitions, JSM Skikda have 4 wins, 7 draws and 4 defeats; JS Kabylie have 7, 4 and 4.

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

JSM Skikda
DateOpponentScoreCompetition
Dec 27, 2018Lakhdaria(away)0-0Coupe Nationale
Dec 17, 2018JSM Bejaia(away)1-2Coupe Nationale
Nov 30, 2018Usm El Harrach(away)0-0Ligue 2
Nov 21, 2018Olympique Medea(home)0-0Ligue 1
Nov 17, 2018NC Magra(home)1-2Ligue 2
JS Kabylie
DateOpponentScoreCompetition
Dec 18, 2018Ghriss(away)0-2Coupe Nationale
Nov 23, 2018Bordj BOU Arreridj(away)0-1Ligue 1
Nov 19, 2018CS Constantine(home)0-2Ligue 1
Nov 13, 2018Hussein Dey(home)2-1Ligue 1
Nov 9, 2018USM Alger(away)0-1Ligue 1

What does the head-to-head say?

Across the last 6 meetings: 3 JSM Skikda wins, 1 draw, 2 JS Kabylie wins.

DateScoreCompetition
Aug 11, 2018JS Kabylie 0-0 JSM SkikdaLigue 1
Mar 12, 2016JSM Skikda 3-0 JS KabylieLigue 1
Oct 2, 2015JS Kabylie 2-1 JSM SkikdaLigue 1
Feb 28, 2015JSM Skikda 2-1 JS KabylieLigue 1
Oct 1, 2014JS Kabylie 0-1 JSM SkikdaLigue 1
May 17, 2014JS Kabylie 2-0 JSM SkikdaLigue 1

Last archived meeting: JS Kabylie vs JSM Skikda on Aug 11, 2018

How many goals should we expect?

JSM Skikda score 0.7 and concede 0.6 goals per match over their last 15; JS Kabylie score 1.3 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
JSM Skikda0.70.6103/153/15
JS Kabylie1.30.865/154/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
2JS Kabylie751111316

A question about JSM Skikda vs JS Kabylie?

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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Next match: JSM Skikda and JS Kabylie

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