Match

JSM Skikda vs Khroub: result 2-1 and analysis

Ligue 2Regular Season - 11Kick-off on November 20, 2019 at 02:00 PM (UTC)Stade du 20 Août 1955, Skikda

JSM Skikda
2-1
Khroub

Full time

What was the result of JSM Skikda vs Khroub?

JSM Skikda won 2-1 on November 20, 2019.

Goalscorers

  • 3′?Khroub
  • 72′?JSM Skikda
  • 79′?JSM Skikda

What is the recent form of both teams?

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

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

JSM Skikda
DateOpponentScoreCompetition
Nov 9, 2019MO Bejaia(away)0-1Ligue 2
Nov 2, 2019USM Annaba(home)1-1Ligue 2
Oct 26, 2019Usm El Harrach(away)1-1Ligue 2
Oct 19, 2019WA Tlemcen(away)1-3Ligue 2
Oct 12, 2019MC Saida(home)3-1Ligue 2
Khroub
DateOpponentScoreCompetition
Nov 9, 2019MC Saida(home)1-1Ligue 2
Nov 2, 2019ASM Oran(away)1-2Ligue 2
Oct 26, 2019Amal BOU Saada(home)0-0Ligue 2
Oct 17, 2019JSM Bejaia(away)0-0Ligue 2
Oct 12, 2019Arzew(home)1-0Ligue 2

What does the head-to-head say?

Across the last 4 meetings: 0 JSM Skikda wins, 2 draws, 2 Khroub wins.

DateScoreCompetition
Mar 3, 2017JSM Skikda 2-2 KhroubLigue 2
Oct 28, 2016Khroub 1-0 JSM SkikdaLigue 2
Mar 18, 2016JSM Skikda 1-1 KhroubLigue 2
Oct 23, 2015Khroub 1-0 JSM SkikdaLigue 2

Last archived meeting: JSM Skikda vs Khroub on Mar 3, 2017

How many goals should we expect?

JSM Skikda score 1.3 and concede 1.2 goals per match over their last 15; Khroub score 0.9 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
JSM Skikda1.31.2211/156/15
Khroub0.91.765/156/15

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 Khroub sit 9th (6 points from 5 matches).

2026 standings
#ClubPWDLGFGAPts
3JSM Skikda4301529
9Khroub5131336

A question about JSM Skikda vs Khroub?

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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