Match

JS Kabylie vs JS Saoura: result 0-0 and analysis

Ligue 1Regular Season - 21Kick-off on February 25, 2017 at 03:00 PM (UTC)Stade du 1er Novembre 1954, Tizi-Ouzou

JS Kabylie
0-0
JS Saoura

Full time

What was the result of JS Kabylie vs JS Saoura?

JS Kabylie and JS Saoura drew 0-0 on February 25, 2017.

What is the recent form of both teams?

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

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

JS Kabylie
DateOpponentScoreCompetition
Feb 19, 2017MC Breweries(home)4-0CAF Confederation Cup
Feb 10, 2017MC Breweries(away)0-3CAF Confederation Cup
Feb 7, 2017ES Setif(home)1-1Ligue 1
Feb 2, 2017Usm El Harrach(away)0-1Ligue 1
Dec 27, 2016Nasr El Fedjoudj(home)1-0Coupe Nationale
JS Saoura
DateOpponentScoreCompetition
Feb 7, 2017Olympique Medea(away)1-1Ligue 1
Feb 2, 2017CR Belouizdad(home)1-1Ligue 1
Jan 27, 2017CS Constantine(away)0-1Ligue 1
Jan 21, 2017Tadjenant(home)2-1Ligue 1
Dec 27, 2016ES Setif(away)4-4Coupe Nationale

What does the head-to-head say?

In the last meeting: 0 JS Kabylie wins, 0 draws, 1 JS Saoura win.

DateScoreCompetition
Oct 1, 2016JS Saoura 1-0 JS KabylieLigue 1

Last archived meeting: JS Saoura vs JS Kabylie on Oct 1, 2016

How many goals should we expect?

JS Kabylie score 1.3 and concede 1.1 goals per match over their last 15; JS Saoura score 1.3 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
JS Kabylie1.31.156/156/15
JS Saoura1.31.149/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

JS Kabylie sit 7th in Ligue 1 (7 points from 4 matches) and JS Saoura sit 15th (2 points from 4 matches).

2026-27 standings
#ClubPWDLGFGAPts
7JS Kabylie4211327
15JS Saoura4022052

A question about JS Kabylie vs JS Saoura?

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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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