ASM Oran vs CA Batna: result 1-0 and analysis
Ligue 2Regular Season - 2Kick-off on August 30, 2013 at 04:00 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 August 30, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ASM Oran have 8 wins, 3 draws and 4 defeats; CA Batna have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2013 | Blida(away) | 0-0 | Ligue 2 |
| May 3, 2013 | Témouchent(home) | 1-0 | Ligue 2 |
| Apr 30, 2013 | Olympique Medea(away) | 0-2 | Ligue 2 |
| Apr 19, 2013 | USM Annaba(home) | 2-1 | Ligue 2 |
| Apr 13, 2013 | Khroub(away) | 0-3 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2013 | USM Bel Abbes(away) | 2-5 | Ligue 2 |
| May 21, 2013 | JS Kabylie(home) | 2-2 | Ligue 1 |
| May 18, 2013 | MC Alger(away) | 0-1 | Ligue 1 |
| May 11, 2013 | CS Constantine(home) | 1-4 | Ligue 1 |
| May 4, 2013 | CR Belouizdad(away) | 0-2 | Ligue 1 |
How many goals should we expect?
ASM Oran score 1.3 and concede 0.8 goals per match over their last 15; CA Batna score 0.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ASM Oran | 1.3 | 0.8 | 7 | 5/15 | 7/15 |
| CA Batna | 0.9 | 1.7 | 4 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
ASM Oran sit 5th in Ligue 2 (9 points from 5 matches) and CA Batna sit 10th (5 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | ASM OranWest | 5 | 3 | 0 | 2 | 10 | 4 | 9 |
| 10 | CA BatnaEast | 5 | 1 | 2 | 2 | 3 | 4 | 5 |
A question about ASM Oran vs CA Batna?
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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