Match

MC Saida vs JSM Skikda: result 1-0 and analysis

Ligue 2Regular Season - 28Kick-off on April 20, 2019 at 03:00 PM (UTC)Stade 13 Avril 1958, Saïda

MC Saida
1-0
JSM Skikda

Full time

What was the result of MC Saida vs JSM Skikda?

MC Saida won 1-0 on April 20, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, MC Saida have 3 wins, 4 draws and 8 defeats; JSM Skikda have 7, 4 and 4.

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

MC Saida
DateOpponentScoreCompetition
Apr 10, 2019NC Magra(away)1-1Ligue 2
Apr 4, 2019JSM Bejaia(away)2-3Ligue 2
Mar 12, 2019Blida(home)1-0Ligue 2
Mar 2, 2019ASO Chlef(away)0-1Ligue 2
Feb 22, 2019US Biskra(home)2-0Ligue 2
JSM Skikda
DateOpponentScoreCompetition
Apr 10, 2019JSM Bejaia(home)2-0Ligue 2
Apr 4, 2019Blida(away)2-1Ligue 2
Apr 1, 2019AS AIN Mlila(home)4-1Ligue 1
Mar 12, 2019ASO Chlef(home)0-0Ligue 2
Mar 2, 2019MO Bejaia(home)0-0Ligue 1

What does the head-to-head say?

Across the last 6 meetings: 1 MC Saida win, 2 draws, 3 JSM Skikda wins.

DateScoreCompetition
Nov 7, 2018JSM Skikda 1-0 MC SaidaLigue 2
Apr 28, 2018JSM Skikda 1-0 MC SaidaLigue 2
Nov 17, 2017MC Saida 1-0 JSM SkikdaLigue 2
Apr 7, 2017MC Saida 1-1 JSM SkikdaLigue 2
Dec 6, 2016JSM Skikda 2-0 MC SaidaLigue 2
Apr 22, 2016JSM Skikda 2-2 MC SaidaLigue 2

Last archived meeting: JSM Skikda vs MC Saida on Nov 7, 2018

How many goals should we expect?

MC Saida score 0.7 and concede 1.2 goals per match over their last 15; JSM Skikda score 1.3 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
MC Saida0.71.235/153/15
JSM Skikda1.30.966/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

MC Saida sit 3rd in Ligue 2 (13 points from 5 matches) and JSM Skikda sit 4th (9 points from 5 matches).

2026 standings
#ClubPWDLGFGAPts
3MC SaidaWest54107313
4JSM SkikdaEast5302649

A question about MC Saida 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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