Tadjenant vs CA Batna: result 0-1 and analysis
Ligue 2Regular Season - 26Kick-off on April 17, 2015 at 03:00 PM (UTC)Stade Ismail Lahoua, Tadjenanet
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What was the result of Tadjenant vs CA Batna?
CA Batna won 0-1 on April 17, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tadjenant have 7 wins, 6 draws and 2 defeats; CA Batna 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 |
|---|---|---|---|
| Apr 3, 2015 | USMM Hadjout(away) | 1-0 | Ligue 2 |
| Mar 27, 2015 | RC Relizane(home) | 1-0 | Ligue 2 |
| Mar 20, 2015 | Khroub(away) | 1-1 | Ligue 2 |
| Mar 6, 2015 | AIN Fakroun(home) | 1-0 | Ligue 2 |
| Feb 27, 2015 | WA Tlemcen(away) | 0-0 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2015 | Mérouana(home) | 2-0 | Ligue 2 |
| Mar 27, 2015 | Amal BOU Saada(away) | 0-1 | Ligue 2 |
| Mar 20, 2015 | Bordj BOU Arreridj(home) | 1-0 | Ligue 2 |
| Mar 6, 2015 | Blida(away) | 0-1 | Ligue 2 |
| Feb 27, 2015 | USMM Hadjout(home) | 1-1 | Ligue 2 |
What does the head-to-head say?
In the last meeting: 1 Tadjenant win, 0 draws, 0 CA Batna wins.
| Date | Score | Competition |
|---|---|---|
| Nov 7, 2014 | CA Batna 0-1 Tadjenant | Ligue 2 |
How many goals should we expect?
Tadjenant score 1.0 and concede 0.7 goals per match over their last 15; CA Batna score 0.8 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tadjenant | 1.0 | 0.7 | 7 | 6/15 | 3/15 |
| CA Batna | 0.8 | 0.5 | 9 | 2/15 | 1/15 |
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 Tadjenant vs CA 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