Match

JS Kabylie vs USM Bel Abbes: result 1-0 and analysis

Ligue 1Regular Season - 29Kick-off on June 10, 2017 at 04:00 PM (UTC)Stade du 1er Novembre 1954, Tizi-Ouzou

JS Kabylie
1-0
USM Bel Abbes

Full time

What was the result of JS Kabylie vs USM Bel Abbes?

JS Kabylie won 1-0 on June 10, 2017.

Goalscorers

  • 36′Ahmed MesbahiJS Kabylie

What is the recent form of both teams?

Over their last 15 matches in all competitions, JS Kabylie have 5 wins, 7 draws and 3 defeats; USM Bel Abbes have 8, 4 and 3.

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

JS Kabylie
DateOpponentScoreCompetition
Jun 7, 2017Olympique Medea(away)2-1Ligue 1
May 20, 2017RC Relizane(home)1-0Ligue 1
May 13, 2017Tadjenant(away)0-1Ligue 1
May 6, 2017CS Constantine(home)0-0Ligue 1
Apr 29, 2017MC Oran(away)0-0Ligue 1
USM Bel Abbes
DateOpponentScoreCompetition
Jun 7, 2017USM Alger(away)2-6Ligue 1
May 20, 2017Olympique Medea(home)3-0Ligue 1
May 12, 2017MO Bejaia(away)1-1Ligue 1
May 6, 2017RC Relizane(home)2-0Ligue 1
Apr 1, 2017Hussein Dey(home)4-0Coupe Nationale

What does the head-to-head say?

Across the last 5 meetings: 2 JS Kabylie wins, 0 draws, 3 USM Bel Abbes wins.

DateScoreCompetition
Dec 10, 2016USM Bel Abbes 2-0 JS KabylieLigue 1
Jan 31, 2015JS Kabylie 0-1 USM Bel AbbesLigue 1
Sep 13, 2014USM Bel Abbes 0-2 JS KabylieLigue 1
Apr 19, 2013JS Kabylie 2-1 USM Bel AbbesLigue 1
Nov 17, 2012USM Bel Abbes 1-0 JS KabylieLigue 1

Last archived meeting: USM Bel Abbes vs JS Kabylie on Dec 10, 2016

How many goals should we expect?

JS Kabylie score 0.6 and concede 0.7 goals per match over their last 15; USM Bel Abbes score 1.4 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
JS Kabylie0.60.784/153/15
USM Bel Abbes1.40.8103/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
4JS Kabylie53117310

A question about JS Kabylie vs USM Bel Abbes?

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 USM Bel Abbes

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