CA Batna vs ASM Oran: result 0-0 and analysis
Ligue 2Regular Season - 17Kick-off on January 31, 2014 at 02:00 PM (UTC)Stade du 1er novembre 1954, Algiers
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What was the result of CA Batna vs ASM Oran?
CA Batna and ASM Oran drew 0-0 on January 31, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, CA Batna have 4 wins, 4 draws and 7 defeats; ASM Oran have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 17, 2014 | USM Bel Abbes(home) | 0-0 | Ligue 2 |
| Dec 27, 2013 | Blida(home) | 0-1 | Ligue 2 |
| Dec 13, 2013 | MC Saida(away) | 0-1 | Ligue 2 |
| Nov 29, 2013 | Hussein Dey(home) | 1-1 | Ligue 2 |
| Nov 22, 2013 | Mérouana(away) | 0-2 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 17, 2014 | Blida(home) | 1-1 | Ligue 2 |
| Dec 27, 2013 | MC Saida(home) | 2-0 | Ligue 2 |
| Dec 13, 2013 | Hussein Dey(away) | 0-1 | Ligue 2 |
| Nov 29, 2013 | Mérouana(home) | 2-0 | Ligue 2 |
| Nov 22, 2013 | USM Annaba(away) | 0-0 | Ligue 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 CA Batna win(s), 0 draw(s), 1 ASM Oran win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 30, 2013 | ASM Oran 1-0 CA Batna | Ligue 2 |
How many goals should we expect?
CA Batna score 0.5 and concede 0.8 goals per match over their last 15; ASM Oran score 1.1 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CA Batna | 0.5 | 0.8 | 5 | 4/15 | 1/15 |
| ASM Oran | 1.1 | 0.6 | 9 | 4/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
CA Batna sit 2nd in Ligue 2 (60 points from 30 matches) and ASM Oran sit 5th (58 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | CA Batna | 30 | 18 | 6 | 6 | 40 | 18 | 60 |
| 5 | ASM Oran | 30 | 18 | 4 | 8 | 38 | 19 | 58 |
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