JSM Skikda vs CA Batna: result 0-1 and analysis
Ligue 2Regular Season - 17Kick-off on January 22, 2016 at 02:00 PM (UTC)Stade du 20 Août 1955, Skikda
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What was the result of JSM Skikda vs CA Batna?
CA Batna won 0-1 on January 22, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JSM Skikda have 5 wins, 5 draws and 5 defeats; CA Batna have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 15, 2016 | Usm El Harrach(home) | 0-0 | Ligue 1 |
| Jan 15, 2016 | JSM Bejaia(away) | 2-0 | Ligue 2 |
| Dec 25, 2015 | ASM Oran(home) | 4-0 | Ligue 1 |
| Dec 25, 2015 | ASO Chlef(away) | 0-2 | Ligue 2 |
| Dec 11, 2015 | Blida(away) | 1-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 15, 2016 | US Chaouia(home) | 0-0 | Ligue 2 |
| Dec 24, 2015 | USM Bel Abbes(home) | 0-0 | Ligue 2 |
| Dec 11, 2015 | JSM Bejaia(home) | 0-0 | Ligue 2 |
| Nov 27, 2015 | ASO Chlef(away) | 2-1 | Ligue 2 |
| Nov 20, 2015 | Khroub(home) | 2-0 | Ligue 2 |
What does the head-to-head say?
Across the last 3 meetings: 1 JSM Skikda win(s), 1 draw(s), 1 CA Batna win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 21, 2015 | CA Batna 2-1 JSM Skikda | Ligue 2 |
| Mar 9, 2013 | JSM Skikda 2-0 CA Batna | Ligue 1 |
| Oct 23, 2012 | CA Batna 0-0 JSM Skikda | Ligue 1 |
Last archived meeting: CA Batna vs JSM Skikda on Aug 21, 2015
How many goals should we expect?
JSM Skikda score 1.2 and concede 1.0 goals per match over their last 15; CA Batna score 0.8 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JSM Skikda | 1.2 | 1.0 | 6 | 6/15 | 4/15 |
| CA Batna | 0.8 | 0.5 | 10 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | CA Batna | 30 | 18 | 6 | 6 | 40 | 18 | 60 |
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