Match

JS Kabylie vs MO Bejaia: result 1-0 and analysis

Ligue 1Regular Season - 17Kick-off on January 11, 2019 at 04:45 PM (UTC)Stade du 1er Novembre 1954, Tizi-Ouzou

JS Kabylie
1-0
MO Bejaia

Full time

What was the result of JS Kabylie vs MO Bejaia?

JS Kabylie won 1-0 on January 11, 2019.

Goalscorers

  • 16′R. HamrouneJS Kabylie

What is the recent form of both teams?

Over their last 15 matches in all competitions, JS Kabylie have 8 wins, 3 draws and 4 defeats; MO Bejaia have 4, 5 and 6.

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

JS Kabylie
DateOpponentScoreCompetition
Jan 4, 2019JSM Skikda(away)1-0Ligue 1
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
MO Bejaia
DateOpponentScoreCompetition
Jan 4, 2019Olympique Medea(home)1-1Ligue 1
Dec 29, 2018Usm El Harrach(away)0-1Coupe Nationale
Dec 18, 2018Oued Magrane(home)2-0Coupe Nationale
Nov 22, 2018ES Setif(home)1-0Ligue 1
Nov 17, 2018MC Alger(home)1-1Ligue 1

What does the head-to-head say?

Across the last 6 meetings: 1 JS Kabylie win, 4 draws, 1 MO Bejaia win.

DateScoreCompetition
Aug 17, 2018MO Bejaia 1-1 JS KabylieLigue 1
Mar 3, 2017MO Bejaia 3-0 JS KabylieLigue 1
Oct 15, 2016JS Kabylie 1-1 MO BejaiaLigue 1
Jan 23, 2016JS Kabylie 1-1 MO BejaiaLigue 1
Aug 22, 2015MO Bejaia 0-0 JS KabylieLigue 1
Apr 25, 2015JS Kabylie 2-1 MO BejaiaLigue 1

Last archived meeting: MO Bejaia vs JS Kabylie on Aug 17, 2018

How many goals should we expect?

JS Kabylie score 1.3 and concede 0.7 goals per match over their last 15; MO Bejaia score 0.9 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
JS Kabylie1.30.774/154/15
MO Bejaia0.91.548/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
7JS Kabylie4211327

A question about JS Kabylie vs MO Bejaia?

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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