CA Batna vs Mostaganem: result 1-0 and analysis
Ligue 2Regular Season - 9Kick-off on October 25, 2013 at 02:00 PM (UTC)Stade du 1er novembre 1954, Batna
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What was the result of CA Batna vs Mostaganem?
CA Batna won 1-0 on October 25, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, CA Batna have 5 wins, 3 draws and 7 defeats; Mostaganem have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2013 | WA Tlemcen(away) | 0-1 | Ligue 2 |
| Oct 4, 2013 | MSP Batna(home) | 1-1 | Ligue 2 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2013 | ASM Oran(home) | 0-3 | Ligue 2 |
| Oct 4, 2013 | Blida(away) | 0-4 | Ligue 2 |
| Sep 27, 2013 | USM Bel Abbes(home) | 0-1 | Ligue 2 |
| Sep 21, 2013 | Hussein Dey(away) | 0-1 | Ligue 2 |
| Sep 13, 2013 | MC Saida(home) | 1-2 | Ligue 2 |
How many goals should we expect?
CA Batna score 0.9 and concede 1.4 goals per match over their last 15; Mostaganem score 1.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CA Batna | 0.9 | 1.4 | 4 | 7/15 | 5/15 |
| Mostaganem | 1.1 | 1.6 | 1 | 7/15 | 10/15 |
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 Mostaganem sit 7th (7 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | MostaganemWest | 5 | 2 | 1 | 2 | 7 | 7 | 7 |
| 10 | CA BatnaEast | 5 | 1 | 2 | 2 | 3 | 4 | 5 |
A question about CA Batna vs Mostaganem?
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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