JSM Skikda vs US Biskra: result 4-1 and analysis
Ligue 2Regular Season - 30Kick-off on April 27, 2012 at 02:00 PM (UTC)Stade du 20 Août 1955, Skikda
Full time
What was the result of JSM Skikda vs US Biskra?
JSM Skikda won 4-1 on April 27, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JSM Skikda have 7 wins, 5 draws and 3 defeats; US Biskra have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2012 | ASM Oran(away) | 0-2 | Ligue 2 |
| Apr 17, 2012 | Mohammadia(home) | 2-1 | Ligue 2 |
| Apr 13, 2012 | Blida(away) | 1-1 | Ligue 2 |
| Apr 6, 2012 | USM Annaba(home) | 1-0 | Ligue 2 |
| Mar 31, 2012 | Olympique Medea(away) | 1-1 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2012 | Mostaganem(home) | 0-1 | Ligue 2 |
| Apr 17, 2012 | Mérouana(away) | 0-1 | Ligue 2 |
| Apr 13, 2012 | MO Constantine(home) | 1-2 | Ligue 2 |
| Apr 6, 2012 | Bordj BOU Arreridj(away) | 1-0 | Ligue 2 |
| Mar 31, 2012 | Paradou AC(home) | 0-1 | Ligue 2 |
What does the head-to-head say?
In the last meeting: 1 JSM Skikda win, 0 draws, 0 US Biskra wins.
| Date | Score | Competition |
|---|---|---|
| Dec 23, 2011 | US Biskra 1-2 JSM Skikda | Ligue 2 |
Last archived meeting: US Biskra vs JSM Skikda on Dec 23, 2011
How many goals should we expect?
JSM Skikda score 1.4 and concede 0.8 goals per match over their last 15; US Biskra score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JSM Skikda | 1.4 | 0.8 | 5 | 8/15 | 6/15 |
| US Biskra | 1.1 | 1.3 | 4 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | JSM Skikda | 5 | 3 | 0 | 2 | 6 | 4 | 9 |
A question about JSM Skikda vs US Biskra?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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