Tadjenant vs CA Batna: result 4-1 and analysis
Ligue 1Regular Season - 12Kick-off on November 19, 2016 at 02:00 PM (UTC)Stade Ismail Lahoua, Tadjenanet
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What was the result of Tadjenant vs CA Batna?
Tadjenant won 4-1 on November 19, 2016.
Goalscorers
- 20′Y. ChibaneTadjenant
- 40′Lazhar Hadj AïssaCA Batna
- 44′A. NezouaniTadjenant
- 73′M. AibTadjenant
- 75′R. El MoudèneTadjenant
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tadjenant have 4 wins, 3 draws and 8 defeats; CA Batna have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2016 | JS Kabylie(away) | 1-1 | Ligue 1 |
| Nov 5, 2016 | MC Alger(home) | 0-1 | Ligue 1 |
| Oct 29, 2016 | USM Bel Abbes(away) | 1-3 | Ligue 1 |
| Oct 22, 2016 | Olympique Medea(home) | 1-0 | Ligue 1 |
| Oct 15, 2016 | Usm El Harrach(away) | 0-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2016 | JS Saoura(home) | 1-0 | Ligue 1 |
| Oct 27, 2016 | USM Alger(home) | 2-1 | Ligue 1 |
| Oct 22, 2016 | ES Setif(away) | 0-2 | Ligue 1 |
| Oct 14, 2016 | MC Oran(home) | 2-2 | Ligue 1 |
| Sep 30, 2016 | Hussein Dey(away) | 0-2 | Ligue 1 |
What does the head-to-head say?
Across the last 2 meetings: 1 Tadjenant win(s), 0 draw(s), 1 CA Batna win(s).
| Date | Score | Competition |
|---|---|---|
| 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 Apr 17, 2015
How many goals should we expect?
Tadjenant score 0.9 and concede 1.3 goals per match over their last 15; CA Batna score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tadjenant | 0.9 | 1.3 | 4 | 7/15 | 6/15 |
| CA Batna | 0.9 | 1.0 | 4 | 5/15 | 3/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy