MC Saida vs CA Batna: result 1-0 and analysis
Ligue 2Regular Season - 14Kick-off on December 13, 2013 at 02:00 PM (UTC)Stade 13 Avril 1958, Saïda
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What was the result of MC Saida vs CA Batna?
MC Saida won 1-0 on December 13, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MC Saida have 4 wins, 7 draws and 4 defeats; CA Batna have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 29, 2013 | USM Bel Abbes(away) | 1-1 | Ligue 2 |
| Nov 22, 2013 | Blida(home) | 0-1 | Ligue 2 |
| Nov 8, 2013 | Hussein Dey(home) | 0-1 | Ligue 2 |
| Nov 1, 2013 | Mérouana(away) | 0-1 | Ligue 2 |
| Oct 25, 2013 | USM Annaba(home) | 2-1 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 29, 2013 | Hussein Dey(home) | 1-1 | Ligue 2 |
| Nov 22, 2013 | Mérouana(away) | 0-2 | Ligue 2 |
| Nov 8, 2013 | USM Annaba(home) | 0-1 | Ligue 2 |
| Nov 1, 2013 | Khroub(away) | 1-1 | Ligue 2 |
| Oct 25, 2013 | Mostaganem(home) | 1-0 | Ligue 2 |
What does the head-to-head say?
Across the last 2 meetings: 0 MC Saida win(s), 1 draw(s), 1 CA Batna win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 28, 2012 | MC Saida 1-1 CA Batna | Ligue 1 |
| Sep 17, 2011 | CA Batna 1-0 MC Saida | Ligue 1 |
How many goals should we expect?
MC Saida score 0.7 and concede 0.7 goals per match over their last 15; CA Batna score 0.8 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MC Saida | 0.7 | 0.7 | 6 | 6/15 | 4/15 |
| CA Batna | 0.8 | 1.2 | 4 | 6/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
MC Saida sit 11th in Ligue 2 (34 points from 30 matches) and CA Batna sit 2nd (60 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | CA Batna | 30 | 18 | 6 | 6 | 40 | 18 | 60 |
| 11 | MC Saida | 30 | 9 | 7 | 14 | 26 | 29 | 34 |
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