GC Mascara vs JSM Skikda: result 1-2 and analysis
Ligue 2Regular Season - 3Kick-off on September 15, 2017 at 03:00 PM (UTC)Stade Aoued Meflah, Mascara
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What was the result of GC Mascara vs JSM Skikda?
JSM Skikda won 1-2 on September 15, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, GC Mascara have 5 wins, 6 draws and 4 defeats; JSM Skikda have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2017 | CA Batna(away) | 0-2 | Ligue 2 |
| Aug 25, 2017 | ASO Chlef(home) | 2-2 | Ligue 2 |
| May 12, 2017 | ASO Chlef(away) | 1-2 | Ligue 2 |
| Apr 29, 2017 | Khroub(home) | 4-0 | Ligue 2 |
| Apr 22, 2017 | Amal BOU Saada(away) | 0-3 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2017 | Bordj BOU Arreridj(home) | 2-1 | Ligue 2 |
| Aug 25, 2017 | Amal BOU Saada(away) | 1-0 | Ligue 2 |
| May 13, 2017 | Paradou AC(home) | 3-1 | Ligue 2 |
| Apr 29, 2017 | El Eulma(away) | 0-1 | Ligue 2 |
| Apr 22, 2017 | AIN Fakroun(home) | 4-1 | Ligue 2 |
What does the head-to-head say?
Across the last 2 meetings: 1 GC Mascara win(s), 0 draw(s), 1 JSM Skikda win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 27, 2017 | GC Mascara 1-0 JSM Skikda | Ligue 2 |
| Sep 23, 2016 | JSM Skikda 3-0 GC Mascara | Ligue 2 |
Last archived meeting: GC Mascara vs JSM Skikda on Jan 27, 2017
How many goals should we expect?
GC Mascara score 1.1 and concede 1.1 goals per match over their last 15; JSM Skikda score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| GC Mascara | 1.1 | 1.1 | 5 | 7/15 | 5/15 |
| JSM Skikda | 1.5 | 0.9 | 3 | 9/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | GC Mascara | 30 | 8 | 7 | 15 | 28 | 36 | 31 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy