CA Batna vs MO Bejaia: result 0-0 and analysis
Ligue 2Regular Season - 13Kick-off on December 1, 2017 at 02:00 PM (UTC)Stade Seffouhi, Batna
Full time
What was the result of CA Batna vs MO Bejaia?
CA Batna and MO Bejaia drew 0-0 on December 1, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, CA Batna have 2 wins, 4 draws and 9 defeats; MO Bejaia have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2017 | ASM Oran(away) | 0-1 | Ligue 2 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2017 | ASO Chlef(home) | 3-1 | Ligue 2 |
| Nov 11, 2017 | AS AIN Mlila(away) | 0-1 | Ligue 2 |
| Nov 7, 2017 | JSM Bejaia(home) | 2-0 | Ligue 2 |
| Oct 31, 2017 | AIN Fakroun(away) | 2-2 | Ligue 2 |
| Oct 27, 2017 | RC Relizane(home) | 2-2 | Ligue 2 |
What does the head-to-head say?
Across the last 2 meetings: 1 CA Batna win(s), 0 draw(s), 1 MO Bejaia win(s).
| Date | Score | Competition |
|---|---|---|
| May 6, 2017 | CA Batna 2-0 MO Bejaia | Ligue 1 |
| Dec 27, 2016 | MO Bejaia 2-1 CA Batna | Ligue 1 |
How many goals should we expect?
CA Batna score 0.7 and concede 1.5 goals per match over their last 15; MO Bejaia score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CA Batna | 0.7 | 1.5 | 4 | 5/15 | 5/15 |
| MO Bejaia | 1.3 | 1.1 | 5 | 6/15 | 7/15 |
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 MO Bejaia sit 4th (60 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | CA Batna | 30 | 18 | 6 | 6 | 40 | 18 | 60 |
| 4 | MO Bejaia | 30 | 17 | 9 | 4 | 44 | 18 | 60 |
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