Match

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

Ligue 1Regular Season - 17Kick-off on January 23, 2016 at 03:00 PM (UTC)Stade du 1er novembre 1954, Algiers

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 January 23, 2016.

Goalscorers

  • 39′B. DiawaraJS Kabylie
  • 69′Mouhamed Waliou NdoyeMO Bejaia

What is the recent form of both teams?

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

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

JS Kabylie
DateOpponentScoreCompetition
Jan 16, 2016CS Constantine(away)1-0Ligue 1
Dec 26, 2015MC Oran(away)0-2Ligue 1
Dec 12, 2015ES Setif(home)0-0Ligue 1
Nov 28, 2015ASM Oran(home)2-0Ligue 1
Nov 20, 2015RC Arba(away)1-1Ligue 1
MO Bejaia
DateOpponentScoreCompetition
Jan 16, 2016RC Arba(home)2-1Ligue 1
Dec 25, 2015Hussein Dey(home)3-1Ligue 1
Dec 12, 2015MC Alger(away)0-1Ligue 1
Nov 27, 2015Tadjenant(home)2-1Ligue 1
Nov 19, 2015Usm El Harrach(away)0-2Ligue 1

What does the head-to-head say?

Across the last 5 meetings: 1 JS Kabylie win, 3 draws, 1 MO Bejaia win.

DateScoreCompetition
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: MO Bejaia vs JS Kabylie on Aug 22, 2015

How many goals should we expect?

JS Kabylie score 1.0 and concede 0.9 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 Kabylie1.00.967/154/15
MO Bejaia1.10.966/156/15

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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Next match: JS Kabylie and MO Bejaia

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