CA Batna vs GC Mascara: result 2-0 and analysis
Ligue 2Regular Season - 2Kick-off on September 8, 2017 at 05:00 PM (UTC)Stade Seffouhi, Batna
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What was the result of CA Batna vs GC Mascara?
CA Batna won 2-0 on September 8, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, CA Batna have 1 win, 4 draws and 10 defeats; GC Mascara have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2017 | Bordj BOU Arreridj(away) | 0-0 | Ligue 2 |
| Jun 14, 2017 | RC Relizane(away) | 0-5 | Ligue 1 |
| Jun 10, 2017 | CR Belouizdad(home) | 0-1 | Ligue 1 |
| Jun 7, 2017 | CS Constantine(away) | 1-3 | Ligue 1 |
| May 20, 2017 | Tadjenant(home) | 0-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2017 | ASO Chlef(home) | 2-2 | Ligue 2 |
| May 12, 2017 | ASO Chlef(away) | 1-2 | Ligue 2 |
| Apr 29, 2017 | Khroub(home) | 4-0 | Ligue 2 |
| Apr 22, 2017 | Amal BOU Saada(away) | 0-3 | Ligue 2 |
| Apr 7, 2017 | ASM Oran(home) | 1-1 | Ligue 2 |
How many goals should we expect?
CA Batna score 0.4 and concede 1.6 goals per match over their last 15; GC Mascara score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CA Batna | 0.4 | 1.6 | 4 | 4/15 | 5/15 |
| GC Mascara | 1.1 | 0.9 | 6 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
CA Batna sit 10th in Ligue 2 (5 points from 5 matches) and GC Mascara sit 3rd (11 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | GC MascaraWest | 5 | 3 | 2 | 0 | 7 | 1 | 11 |
| 10 | CA BatnaEast | 5 | 1 | 2 | 2 | 3 | 4 | 5 |
A question about CA Batna vs GC Mascara?
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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