Match

JSM Skikda vs USM Bel Abbes: result 2-1 and analysis

Ligue 2Regular Season - 3Kick-off on August 29, 2015 at 04:30 PM (UTC)Stade OPOW de Koléa, Koléa

JSM Skikda
2-1
USM Bel Abbes

Full time

What was the result of JSM Skikda vs USM Bel Abbes?

JSM Skikda won 2-1 on August 29, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, JSM Skikda have 6 wins, 4 draws and 5 defeats; USM Bel Abbes have 5, 3 and 7.

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

JSM Skikda
DateOpponentScoreCompetition
Aug 22, 2015Tadjenant(home)1-0Ligue 1
Aug 21, 2015CA Batna(away)1-2Ligue 2
Aug 14, 2015Usm El Harrach(away)1-1Ligue 1
Aug 14, 2015JSM Bejaia(home)2-0Ligue 2
May 29, 2015Hussein Dey(away)0-1Ligue 1
USM Bel Abbes
DateOpponentScoreCompetition
Aug 21, 2015US Chaouia(home)1-0Ligue 2
Aug 14, 2015Paradou AC(away)0-0Ligue 2
May 29, 2015MO Bejaia(home)1-3Ligue 1
May 23, 2015JSM Skikda(away)0-1Ligue 1
May 16, 2015ASO Chlef(home)0-0Ligue 1

What does the head-to-head say?

Across the last 6 meetings: 3 JSM Skikda wins, 3 draws, 0 USM Bel Abbes wins.

DateScoreCompetition
May 23, 2015JSM Skikda 1-0 USM Bel AbbesLigue 1
Dec 20, 2014USM Bel Abbes 1-1 JSM SkikdaLigue 1
May 21, 2013JSM Skikda 3-0 USM Bel AbbesLigue 1
Dec 22, 2012USM Bel Abbes 0-0 JSM SkikdaLigue 1
Mar 2, 2012USM Bel Abbes 0-0 JSM SkikdaLigue 2
Oct 14, 2011JSM Skikda 1-0 USM Bel AbbesLigue 2

Last archived meeting: JSM Skikda vs USM Bel Abbes on May 23, 2015

How many goals should we expect?

JSM Skikda score 1.0 and concede 1.0 goals per match over their last 15; USM Bel Abbes score 0.5 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
JSM Skikda1.01.047/155/15
USM Bel Abbes0.50.772/152/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
6JSM Skikda5302649

A question about JSM Skikda vs USM Bel Abbes?

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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