CA Batna vs Tadjenant: result 0-2 and analysis
Ligue 1Regular Season - 27Kick-off on May 20, 2017 at 03:00 PM (UTC)Stade Seffouhi, Batna
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What was the result of CA Batna vs Tadjenant?
Tadjenant won 0-2 on May 20, 2017.
Goalscorers
- 75′Fethi NoubliTadjenant
- 90′H. DemaneTadjenant
What is the recent form of both teams?
Over their last 15 matches in all competitions, CA Batna have 2 wins, 4 draws and 9 defeats; Tadjenant have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2017 | JS Saoura(away) | 1-2 | Ligue 1 |
| May 6, 2017 | MO Bejaia(home) | 2-0 | Ligue 1 |
| Apr 29, 2017 | USM Alger(away) | 0-3 | Ligue 1 |
| Apr 21, 2017 | JS Kabylie(home) | 0-1 | Ligue 1 |
| Mar 10, 2017 | ES Setif(home) | 0-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2017 | JS Kabylie(home) | 1-0 | Ligue 1 |
| May 6, 2017 | MC Alger(away) | 1-2 | Ligue 1 |
| Mar 24, 2017 | MO Bejaia(home) | 1-1 | Ligue 1 |
| Mar 18, 2017 | USM Bel Abbes(home) | 0-0 | Ligue 1 |
| Mar 10, 2017 | Olympique Medea(away) | 1-1 | Ligue 1 |
What does the head-to-head say?
Across the last 3 meetings: 1 CA Batna win, 0 draws, 2 Tadjenant wins.
| Date | Score | Competition |
|---|---|---|
| Nov 19, 2016 | Tadjenant 4-1 CA Batna | Ligue 1 |
| Apr 17, 2015 | Tadjenant 0-1 CA Batna | Ligue 2 |
| Nov 7, 2014 | CA Batna 0-1 Tadjenant | Ligue 2 |
Last archived meeting: Tadjenant vs CA Batna on Nov 19, 2016
How many goals should we expect?
CA Batna score 0.7 and concede 1.2 goals per match over their last 15; Tadjenant score 0.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CA Batna | 0.7 | 1.2 | 4 | 5/15 | 5/15 |
| Tadjenant | 0.7 | 1.0 | 5 | 7/15 | 4/15 |
Over the last 15 matches in all competitions.
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