Match

CA Batna vs JSM Skikda: result 1-0 and analysis

Ligue 2East - 3Kick-off on November 5, 2021 at 02:00 PM (UTC)Stade Seffouhi, Batna

CA Batna
1-0
JSM Skikda

Full time

What was the result of CA Batna vs JSM Skikda?

CA Batna won 1-0 on November 5, 2021.

What is the recent form of both teams?

Over their last 15 matches in all competitions, CA Batna have 7 wins, 1 draw and 7 defeats; JSM Skikda have 0, 1 and 14.

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

CA Batna
DateOpponentScoreCompetition
Oct 30, 2021USM Annaba(away)1-3Ligue 2
Oct 26, 2021JSM Bejaia(home)0-3Ligue 2
Jun 26, 2021MO Constantine(home)6-1Ligue 2
Jun 19, 2021MSP Batna(away)0-1Ligue 2
Jun 5, 2021CRB Ouled Djellal(home)2-1Ligue 2
JSM Skikda
DateOpponentScoreCompetition
Oct 30, 2021Teleghma(home)1-3Ligue 2
Oct 26, 2021US Chaouia(away)0-1Ligue 2
Aug 28, 2021JS Kabylie(home)1-1Ligue 1
Aug 24, 2021USM Alger(home)0-3Ligue 1
Aug 21, 2021ES Setif(away)0-2Ligue 1

What does the head-to-head say?

Across the last 6 meetings: 3 CA Batna wins, 1 draw, 2 JSM Skikda wins.

DateScoreCompetition
Apr 6, 2018CA Batna 2-1 JSM SkikdaLigue 2
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: CA Batna vs JSM Skikda on Apr 6, 2018

How many goals should we expect?

CA Batna score 1.1 and concede 1.1 goals per match over their last 15; JSM Skikda score 0.1 and concede 2.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
CA Batna1.11.155/156/15
JSM Skikda0.12.402/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

CA Batna sit 11th in Ligue 2 (5 points from 5 matches) and JSM Skikda sit 3rd (9 points from 4 matches).

2026 standings
#ClubPWDLGFGAPts
3JSM Skikda4301529
11CA Batna5122345

A question about CA Batna vs JSM Skikda?

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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