Match

JSM Skikda vs ASM Oran: result 1-2 and analysis

Ligue 2Regular Season - 13Kick-off on December 1, 2017 at 02:00 PM (UTC)Stade du 20 Août 1955, Skikda

JSM Skikda
1-2
ASM Oran

Full time

What was the result of JSM Skikda vs ASM Oran?

ASM Oran won 1-2 on December 1, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, JSM Skikda have 9 wins, 2 draws and 4 defeats; ASM Oran have 4, 6 and 5.

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

JSM Skikda
DateOpponentScoreCompetition
Nov 17, 2017MC Saida(away)0-1Ligue 2
Nov 11, 2017RC Kouba(away)1-1Ligue 2
Nov 7, 2017CA Batna(home)1-0Ligue 2
Oct 31, 2017ASO Chlef(away)0-0Ligue 2
Oct 27, 2017AS AIN Mlila(home)2-0Ligue 2
ASM Oran
DateOpponentScoreCompetition
Nov 17, 2017CA Batna(home)1-0Ligue 2
Nov 11, 2017ASO Chlef(away)0-2Ligue 2
Nov 7, 2017AS AIN Mlila(home)1-4Ligue 2
Oct 31, 2017JSM Bejaia(away)1-3Ligue 2
Oct 27, 2017AIN Fakroun(home)2-1Ligue 2

What does the head-to-head say?

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

DateScoreCompetition
Feb 17, 2017JSM Skikda 3-1 ASM OranLigue 2
Oct 14, 2016ASM Oran 2-0 JSM SkikdaLigue 2
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

Last archived meeting: JSM Skikda vs ASM Oran on Feb 17, 2017

How many goals should we expect?

JSM Skikda score 1.5 and concede 0.7 goals per match over their last 15; ASM Oran score 0.9 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
JSM Skikda1.50.767/157/15
ASM Oran0.91.358/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

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

2026 standings
#ClubPWDLGFGAPts
3JSM SkikdaEast4301529
6ASM OranWest53021049

A question about JSM Skikda vs ASM Oran?

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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