Match

ASM Oran vs JSM Skikda: result 2-0 and analysis

Ligue 2Regular Season - 6Kick-off on October 14, 2016 at 03:00 PM (UTC)Stade Habib Bouakeul, Oran

ASM Oran
2-0
JSM Skikda

Full time

What was the result of ASM Oran vs JSM Skikda?

ASM Oran won 2-0 on October 14, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, ASM Oran have 0 wins, 4 draws and 11 defeats; JSM Skikda have 8, 3 and 4.

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

ASM Oran
DateOpponentScoreCompetition
Oct 7, 2016JSM Bejaia(away)0-1Ligue 2
Sep 30, 2016Bordj BOU Arreridj(home)0-0Ligue 2
Sep 24, 2016ASO Chlef(away)1-1Ligue 2
Sep 17, 2016Khroub(home)0-0Ligue 2
Sep 9, 2016Amal BOU Saada(away)0-0Ligue 2
JSM Skikda
DateOpponentScoreCompetition
Oct 7, 2016Wa Boufarik(home)2-0Ligue 2
Sep 30, 2016US Biskra(away)0-1Ligue 2
Sep 23, 2016GC Mascara(home)3-0Ligue 2
Sep 16, 2016RC Arba(away)0-0Ligue 2
Sep 9, 2016Blida(home)1-0Ligue 2

What does the head-to-head say?

Across the last 6 meetings: 2 ASM Oran wins, 0 draws, 4 JSM Skikda wins.

DateScoreCompetition
May 27, 2016ASM Oran 0-1 JSM SkikdaLigue 1
Dec 25, 2015JSM Skikda 4-0 ASM OranLigue 1
Jan 31, 2015ASM Oran 1-0 JSM SkikdaLigue 1
Sep 13, 2014JSM Skikda 3-1 ASM OranLigue 1
Apr 21, 2012ASM Oran 2-0 JSM SkikdaLigue 2
Dec 16, 2011JSM Skikda 3-0 ASM OranLigue 2

Last archived meeting: ASM Oran vs JSM Skikda on May 27, 2016

How many goals should we expect?

ASM Oran score 0.4 and concede 1.9 goals per match over their last 15; JSM Skikda score 1.2 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
ASM Oran0.41.936/157/15
JSM Skikda1.20.775/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

ASM Oran sit 6th in Ligue 2 (9 points from 5 matches) and JSM Skikda sit 3rd (9 points from 4 matches).

2026 standings
#ClubPWDLGFGAPts
3JSM SkikdaEast4301529
6ASM OranWest53021049

A question about ASM Oran 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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