Match

Tadjenant vs JS Kabylie: result 2-1 and analysis

Ligue 1Regular Season - 25Kick-off on April 1, 2019 at 05:00 PM (UTC)Stade Ismail Lahoua, Tadjenanet

Tadjenant
2-1
JS Kabylie

Full time

What was the result of Tadjenant vs JS Kabylie?

Tadjenant won 2-1 on April 1, 2019.

Goalscorers

  • 27′M. TaibTadjenant
  • 72′B. BensahaTadjenant (pen.)
  • 76′R. HamrouneJS Kabylie

What is the recent form of both teams?

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

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

Tadjenant
DateOpponentScoreCompetition
Mar 14, 2019MO Bejaia(away)2-2Ligue 1
Mar 2, 2019Olympique Medea(home)1-0Ligue 1
Feb 16, 2019JSM Skikda(away)0-2Ligue 1
Feb 9, 2019ES Setif(home)2-0Ligue 1
Feb 5, 2019Bordj BOU Arreridj(away)0-1Ligue 1
JS Kabylie
DateOpponentScoreCompetition
Mar 17, 2019Olympique Medea(away)0-1Ligue 1
Mar 2, 2019ES Setif(home)1-0Ligue 1
Feb 13, 2019CR Belouizdad(away)1-2Ligue 1
Feb 9, 2019MC Alger(home)1-1Ligue 1
Feb 4, 2019Paradou AC(away)0-2Ligue 1

What does the head-to-head say?

Across the last 6 meetings: 2 Tadjenant wins, 2 draws, 2 JS Kabylie wins.

DateScoreCompetition
Oct 9, 2018JS Kabylie 3-2 TadjenantLigue 1
Feb 16, 2018Tadjenant 1-0 JS KabylieLigue 1
Sep 30, 2017JS Kabylie 1-0 TadjenantLigue 1
May 13, 2017Tadjenant 1-0 JS KabylieLigue 1
Nov 10, 2016JS Kabylie 1-1 TadjenantLigue 1
Feb 27, 2016JS Kabylie 1-1 TadjenantLigue 1

Last archived meeting: JS Kabylie vs Tadjenant on Oct 9, 2018

How many goals should we expect?

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

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tadjenant0.91.375/155/15
JS Kabylie0.70.954/152/15

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 Tadjenant 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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