Match

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

Ligue 1Regular Season - 7Kick-off on October 15, 2016 at 04:00 PM (UTC)Stade du 1er Novembre 1954, Tizi-Ouzou

JS Kabylie
1-1
MO Bejaia

Full time

What was the result of JS Kabylie vs MO Bejaia?

JS Kabylie and MO Bejaia drew 1-1 on October 15, 2016.

Goalscorers

  • 20′S. AiboudJS Kabylie
  • 60′Faouzi RahalMO Bejaia

What is the recent form of both teams?

Over their last 15 matches in all competitions, JS Kabylie have 7 wins, 5 draws and 3 defeats; MO Bejaia have 4, 6 and 5.

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

JS Kabylie
DateOpponentScoreCompetition
Oct 1, 2016JS Saoura(away)0-1Ligue 1
Sep 24, 2016CA Batna(home)1-1Ligue 1
Sep 17, 2016ES Setif(away)0-0Ligue 1
Sep 10, 2016Usm El Harrach(home)0-0Ligue 1
Aug 26, 2016Hussein Dey(away)1-0Ligue 1
MO Bejaia
DateOpponentScoreCompetition
Oct 8, 2016CR Belouizdad(home)1-0Ligue 1
Oct 4, 2016RC Relizane(home)0-1Ligue 1
Sep 10, 2016CS Constantine(away)2-2Ligue 1
Aug 27, 2016Tadjenant(home)2-2Ligue 1
Aug 19, 2016USM Alger(away)0-2Ligue 1

What does the head-to-head say?

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

DateScoreCompetition
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
Nov 21, 2014MO Bejaia 3-1 JS KabylieLigue 1
May 13, 2014MO Bejaia 1-1 JS KabylieLigue 1
Nov 30, 2013JS Kabylie 0-0 MO BejaiaLigue 1

Last archived meeting: JS Kabylie vs MO Bejaia on Jan 23, 2016

How many goals should we expect?

JS Kabylie score 0.7 and concede 0.6 goals per match over their last 15; MO Bejaia score 1.1 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
JS Kabylie0.70.693/153/15
MO Bejaia1.10.946/154/15

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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