ASM Oran vs CA Batna: result 1-0 and analysis
Ligue 2Regular Season - 12Kick-off on November 17, 2017 at 02:00 PM (UTC)Stade Habib Bouakeul, Oran
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What was the result of ASM Oran vs CA Batna?
ASM Oran won 1-0 on November 17, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ASM Oran have 3 wins, 7 draws and 5 defeats; CA Batna have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2017 | ASO Chlef(away) | 0-2 | Ligue 2 |
| Nov 7, 2017 | AS AIN Mlila(home) | 1-4 | Ligue 2 |
| Oct 31, 2017 | JSM Bejaia(away) | 1-3 | Ligue 2 |
| Oct 27, 2017 | AIN Fakroun(home) | 2-1 | Ligue 2 |
| Oct 20, 2017 | RC Relizane(away) | 0-1 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2017 | MC Saida(home) | 1-1 | Ligue 2 |
| Nov 7, 2017 | JSM Skikda(away) | 0-1 | Ligue 2 |
| Oct 31, 2017 | RC Kouba(away) | 0-2 | Ligue 2 |
| Oct 27, 2017 | ASO Chlef(home) | 1-1 | Ligue 2 |
| Oct 20, 2017 | AS AIN Mlila(away) | 0-2 | Ligue 2 |
What does the head-to-head say?
Across the last 2 meetings: 1 ASM Oran win(s), 1 draw(s), 0 CA Batna win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 31, 2014 | CA Batna 0-0 ASM Oran | Ligue 2 |
| Aug 30, 2013 | ASM Oran 1-0 CA Batna | Ligue 2 |
How many goals should we expect?
ASM Oran score 0.9 and concede 1.3 goals per match over their last 15; CA Batna score 0.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ASM Oran | 0.9 | 1.3 | 4 | 9/15 | 5/15 |
| CA Batna | 0.7 | 1.5 | 4 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
ASM Oran sit 5th in Ligue 2 (58 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 |
| 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