CA Batna vs MSP Batna: result 1-1 and analysis
Ligue 2Regular Season - 7Kick-off on October 4, 2013 at 02:00 PM (UTC)Stade du 1er novembre 1954, Batna
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What was the result of CA Batna vs MSP Batna?
CA Batna and MSP Batna drew 1-1 on October 4, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, CA Batna have 6 wins, 2 draws and 7 defeats; MSP Batna have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2013 | Amal BOU Saada(away) | 1-2 | Ligue 2 |
| Sep 20, 2013 | USMM Hadjout(home) | 1-0 | Ligue 2 |
| Sep 13, 2013 | US Chaouia(away) | 1-0 | Ligue 2 |
| Sep 6, 2013 | Olympique Medea(home) | 1-0 | Ligue 2 |
| Aug 30, 2013 | ASM Oran(away) | 0-1 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2013 | MC Saida(home) | 0-0 | Ligue 2 |
| Sep 20, 2013 | Mérouana(away) | 0-1 | Ligue 2 |
| Sep 13, 2013 | USM Annaba(home) | 0-0 | Ligue 2 |
| Sep 6, 2013 | Khroub(away) | 1-0 | Ligue 2 |
| Aug 30, 2013 | Hussein Dey(home) | 1-1 | Ligue 2 |
How many goals should we expect?
CA Batna score 0.9 and concede 1.4 goals per match over their last 15; MSP Batna score 0.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CA Batna | 0.9 | 1.4 | 5 | 6/15 | 5/15 |
| MSP Batna | 0.5 | 1.1 | 8 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
CA Batna sit 10th in Ligue 2 (5 points from 5 matches) and MSP Batna sit 1st (11 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | MSP Batna | 5 | 3 | 2 | 0 | 6 | 3 | 11 |
| 10 | CA Batna | 5 | 1 | 2 | 2 | 3 | 4 | 5 |
A question about CA Batna vs MSP Batna?
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