CA Batna vs Tadjenant: result 0-1 and analysis
Ligue 2Regular Season - 11Kick-off on November 7, 2014 at 02:00 PM (UTC)Stade Seffouhi, Batna
Full time
What was the result of CA Batna vs Tadjenant?
Tadjenant won 0-1 on November 7, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, CA Batna have 6 wins, 5 draws and 4 defeats; Tadjenant have 4, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2014 | Mérouana(away) | 0-0 | Ligue 2 |
| Oct 24, 2014 | Amal BOU Saada(home) | 2-0 | Ligue 2 |
| Oct 17, 2014 | Bordj BOU Arreridj(away) | 1-3 | Ligue 2 |
| Oct 11, 2014 | Blida(home) | 3-2 | Ligue 2 |
| Oct 2, 2014 | USMM Hadjout(away) | 0-2 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2014 | USMM Hadjout(home) | 1-0 | Ligue 2 |
| Oct 24, 2014 | RC Relizane(away) | 0-1 | Ligue 2 |
| Oct 17, 2014 | Khroub(home) | 1-1 | Ligue 2 |
| Oct 10, 2014 | AIN Fakroun(away) | 2-1 | Ligue 2 |
| Oct 2, 2014 | WA Tlemcen(home) | 1-0 | Ligue 2 |
How many goals should we expect?
CA Batna score 0.8 and concede 0.9 goals per match over their last 15; Tadjenant score 0.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CA Batna | 0.8 | 0.9 | 9 | 3/15 | 3/15 |
| Tadjenant | 0.8 | 1.0 | 4 | 3/10 | 2/10 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | CA Batna | 5 | 1 | 2 | 2 | 3 | 4 | 5 |
A question about CA Batna vs Tadjenant?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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