CA Batna vs USM Annaba: result 0-1 and analysis
Ligue 2Regular Season - 11Kick-off on November 8, 2013 at 02:00 PM (UTC)Stade du 1er novembre 1954, Batna
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What was the result of CA Batna vs USM Annaba?
USM Annaba won 0-1 on November 8, 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; USM Annaba have 3, 8 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2013 | Khroub(away) | 1-1 | Ligue 2 |
| Oct 25, 2013 | Mostaganem(home) | 1-0 | Ligue 2 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2013 | USM Bel Abbes(home) | 1-0 | Ligue 2 |
| Oct 25, 2013 | MC Saida(away) | 1-2 | Ligue 2 |
| Oct 18, 2013 | Hussein Dey(home) | 1-0 | Ligue 2 |
| Oct 4, 2013 | Mérouana(away) | 1-1 | Ligue 2 |
| Sep 27, 2013 | Blida(home) | 0-0 | Ligue 2 |
How many goals should we expect?
CA Batna score 0.9 and concede 1.4 goals per match over their last 15; USM Annaba score 0.7 and concede 0.7.
| 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 |
| USM Annaba | 0.7 | 0.7 | 8 | 6/15 | 3/15 |
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 USM Annaba sit 2nd (9 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | USM Annaba | 5 | 3 | 0 | 2 | 9 | 4 | 9 |
| 10 | CA Batna | 5 | 1 | 2 | 2 | 3 | 4 | 5 |
A question about CA Batna vs USM Annaba?
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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