CA Batna vs USMM Hadjout: result 2-0 and analysis
Ligue 2Regular Season - 24Kick-off on March 18, 2016 at 02:00 PM (UTC)Stade Seffouhi, Batna
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What was the result of CA Batna vs USMM Hadjout?
CA Batna won 2-0 on March 18, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, CA Batna have 7 wins, 8 draws and 0 defeats; USMM Hadjout have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2016 | Arzew(away) | 2-2 | Ligue 2 |
| Mar 4, 2016 | Olympique Medea(home) | 2-0 | Ligue 2 |
| Feb 27, 2016 | El Eulma(away) | 1-1 | Ligue 2 |
| Feb 12, 2016 | Amal BOU Saada(home) | 1-0 | Ligue 2 |
| Feb 5, 2016 | Paradou AC(away) | 0-0 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2016 | USM Bel Abbes(home) | 1-1 | Ligue 2 |
| Mar 4, 2016 | ASO Chlef(away) | 1-2 | Ligue 2 |
| Feb 26, 2016 | JSM Bejaia(home) | 1-0 | Ligue 2 |
| Feb 12, 2016 | Bordj BOU Arreridj(away) | 0-1 | Ligue 2 |
| Feb 5, 2016 | Khroub(home) | 3-0 | Ligue 2 |
What does the head-to-head say?
Across the last 5 meetings: 1 CA Batna win(s), 2 draw(s), 2 USMM Hadjout win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 23, 2015 | USMM Hadjout 0-0 CA Batna | Ligue 2 |
| Feb 27, 2015 | CA Batna 1-1 USMM Hadjout | Ligue 2 |
| Oct 2, 2014 | USMM Hadjout 2-0 CA Batna | Ligue 2 |
| Feb 22, 2014 | USMM Hadjout 1-0 CA Batna | Ligue 2 |
| Sep 20, 2013 | CA Batna 1-0 USMM Hadjout | Ligue 2 |
Last archived meeting: USMM Hadjout vs CA Batna on Oct 23, 2015
How many goals should we expect?
CA Batna score 0.9 and concede 0.3 goals per match over their last 15; USMM Hadjout score 0.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CA Batna | 0.9 | 0.3 | 11 | 4/15 | 3/15 |
| USMM Hadjout | 0.7 | 1.2 | 4 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | CA Batna | 30 | 18 | 6 | 6 | 40 | 18 | 60 |
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