Match

CA Batna vs JSM Skikda: result 2-1 and analysis

Ligue 2Regular Season - 25Kick-off on April 6, 2018 at 03:00 PM (UTC)Stade Seffouhi, Batna

CA Batna
2-1
JSM Skikda

Full time

What was the result of CA Batna vs JSM Skikda?

CA Batna won 2-1 on April 6, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, CA Batna have 3 wins, 4 draws and 8 defeats; JSM Skikda have 8, 1 and 6.

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

CA Batna
DateOpponentScoreCompetition
Mar 31, 2018RC Kouba(home)1-0Ligue 2
Mar 16, 2018ASO Chlef(away)1-2Ligue 2
Mar 9, 2018AS AIN Mlila(home)2-2Ligue 2
Feb 23, 2018JSM Bejaia(away)2-3Ligue 2
Feb 17, 2018AIN Fakroun(home)2-1Ligue 2
JSM Skikda
DateOpponentScoreCompetition
Mar 31, 2018ASO Chlef(home)0-0Ligue 2
Mar 16, 2018AS AIN Mlila(away)0-1Ligue 2
Mar 9, 2018JSM Bejaia(home)0-1Ligue 2
Mar 3, 2018USM Bel Abbes(away)1-2Coupe Nationale
Feb 23, 2018AIN Fakroun(away)0-2Ligue 2

What does the head-to-head say?

Across the last 5 meetings: 2 CA Batna wins, 1 draw, 2 JSM Skikda wins.

DateScoreCompetition
Nov 7, 2017JSM Skikda 1-0 CA BatnaLigue 2
Jan 22, 2016JSM Skikda 0-1 CA BatnaLigue 2
Aug 21, 2015CA Batna 2-1 JSM SkikdaLigue 2
Mar 9, 2013JSM Skikda 2-0 CA BatnaLigue 1
Oct 23, 2012CA Batna 0-0 JSM SkikdaLigue 1

Last archived meeting: JSM Skikda vs CA Batna on Nov 7, 2017

How many goals should we expect?

CA Batna score 0.7 and concede 1.1 goals per match over their last 15; JSM Skikda score 0.9 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
CA Batna0.71.145/154/15
JSM Skikda0.90.973/154/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

CA Batna sit 10th in Ligue 2 (5 points from 5 matches) and JSM Skikda sit 3rd (9 points from 4 matches).

2026 standings
#ClubPWDLGFGAPts
3JSM Skikda4301529
10CA Batna5122345

A question about CA Batna vs JSM Skikda?

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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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