CA Batna vs MC Oran: result 2-1 and analysis
Ligue 1Regular Season - 26Kick-off on April 20, 2013 at 02:00 PM (UTC)Stade Seffouhi, Batna
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What was the result of CA Batna vs MC Oran?
CA Batna won 2-1 on April 20, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, CA Batna have 3 wins, 4 draws and 8 defeats; MC Oran have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 16, 2013 | JSM Bejaia(away) | 1-1 | Ligue 1 |
| Mar 19, 2013 | ASO Chlef(home) | 1-0 | Ligue 1 |
| Mar 9, 2013 | JSM Skikda(away) | 0-2 | Ligue 1 |
| Feb 23, 2013 | USM Bel Abbes(home) | 1-0 | Ligue 1 |
| Feb 19, 2013 | El Eulma(away) | 0-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2013 | Usm El Harrach(home) | 1-0 | Ligue 1 |
| Mar 19, 2013 | MC Alger(away) | 0-2 | Ligue 1 |
| Mar 9, 2013 | El Eulma(home) | 4-1 | Ligue 1 |
| Feb 23, 2013 | ES Setif(away) | 1-4 | Ligue 1 |
| Feb 16, 2013 | Bordj BOU Arreridj(home) | 0-0 | Ligue 1 |
What does the head-to-head say?
Across the last 3 meetings: 2 CA Batna wins, 0 draws, 1 MC Oran win.
| Date | Score | Competition |
|---|---|---|
| Nov 16, 2012 | MC Oran 3-1 CA Batna | Ligue 1 |
| May 19, 2012 | MC Oran 1-5 CA Batna | Ligue 1 |
| Dec 24, 2011 | CA Batna 5-1 MC Oran | Ligue 1 |
How many goals should we expect?
CA Batna score 0.7 and concede 1.3 goals per match over their last 15; MC Oran score 1.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CA Batna | 0.7 | 1.3 | 5 | 5/15 | 4/15 |
| MC Oran | 1.0 | 0.9 | 5 | 5/15 | 3/15 |
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 | MC Oran | 4 | 3 | 1 | 0 | 4 | 0 | 10 |
A question about CA Batna vs MC Oran?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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