CA Batna vs Blida: result 0-1 and analysis
Ligue 2Regular Season - 15Kick-off on December 27, 2013 at 02:00 PM (UTC)Stade du 1er novembre 1954, Algiers
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What was the result of CA Batna vs Blida?
Blida won 0-1 on December 27, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, CA Batna have 4 wins, 4 draws and 7 defeats; Blida have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 13, 2013 | MC Saida(away) | 0-1 | Ligue 2 |
| Nov 29, 2013 | Hussein Dey(home) | 1-1 | Ligue 2 |
| Nov 22, 2013 | Mérouana(away) | 0-2 | Ligue 2 |
| Nov 8, 2013 | USM Annaba(home) | 0-1 | Ligue 2 |
| Nov 1, 2013 | Khroub(away) | 1-1 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 13, 2013 | USM Bel Abbes(home) | 1-1 | Ligue 2 |
| Nov 29, 2013 | MSP Batna(home) | 0-0 | Ligue 2 |
| Nov 22, 2013 | MC Saida(away) | 1-0 | Ligue 2 |
| Nov 8, 2013 | WA Tlemcen(home) | 2-0 | Ligue 2 |
| Nov 1, 2013 | Hussein Dey(away) | 0-2 | Ligue 2 |
How many goals should we expect?
CA Batna score 0.8 and concede 1.2 goals per match over their last 15; Blida score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CA Batna | 0.8 | 1.2 | 4 | 6/15 | 3/15 |
| Blida | 1.1 | 0.8 | 8 | 5/15 | 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 Blida sit 1st (13 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | BlidaWest | 5 | 4 | 1 | 0 | 9 | 3 | 13 |
| 10 | CA BatnaEast | 5 | 1 | 2 | 2 | 3 | 4 | 5 |
A question about CA Batna vs Blida?
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