USM Bel Abbes vs CA Batna: result 5-2 and analysis
Ligue 2Regular Season - 1Kick-off on August 23, 2013 at 04:00 PM (UTC)Stade du 24 février 1956, Sidi Bel Abbès
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What was the result of USM Bel Abbes vs CA Batna?
USM Bel Abbes won 5-2 on August 23, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, USM Bel Abbes have 3 wins, 3 draws and 9 defeats; CA Batna have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2013 | JSM Skikda(away) | 0-3 | Ligue 1 |
| May 18, 2013 | USM Alger(home) | 0-1 | Ligue 1 |
| May 11, 2013 | WA Tlemcen(away) | 2-2 | Ligue 1 |
| May 4, 2013 | Usm El Harrach(home) | 1-2 | Ligue 1 |
| Apr 19, 2013 | JS Kabylie(away) | 1-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2013 | JS Kabylie(home) | 2-2 | Ligue 1 |
| May 18, 2013 | MC Alger(away) | 0-1 | Ligue 1 |
| May 11, 2013 | CS Constantine(home) | 1-4 | Ligue 1 |
| May 4, 2013 | CR Belouizdad(away) | 0-2 | Ligue 1 |
| Apr 20, 2013 | MC Oran(home) | 2-1 | Ligue 1 |
What does the head-to-head say?
Across the last 2 meetings: 1 USM Bel Abbes win(s), 0 draw(s), 1 CA Batna win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 23, 2013 | CA Batna 1-0 USM Bel Abbes | Ligue 1 |
| Oct 20, 2012 | USM Bel Abbes 1-0 CA Batna | Ligue 1 |
Last archived meeting: CA Batna vs USM Bel Abbes on Feb 23, 2013
How many goals should we expect?
USM Bel Abbes score 0.8 and concede 1.5 goals per match over their last 15; CA Batna score 0.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| USM Bel Abbes | 0.8 | 1.5 | 2 | 7/15 | 8/15 |
| CA Batna | 0.8 | 1.3 | 5 | 6/15 | 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