MO Constantine vs MSP Batna: result 2-1 and analysis
Ligue 2Regular Season - 6Kick-off on October 14, 2011 at 05:00 PM (UTC)Stade Ben-Abdelmalek-Ramdhan, Constantine
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What was the result of MO Constantine vs MSP Batna?
MO Constantine won 2-1 on October 14, 2011.
What is the recent form of both teams?
Over their last 5 matches in all competitions, MO Constantine have 2 wins, 1 draw and 2 defeats; MSP Batna have 2, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2011 | RC Kouba(away) | 2-1 | Ligue 2 |
| Sep 30, 2011 | MO Bejaia(home) | 2-2 | Ligue 2 |
| Sep 23, 2011 | JSM Skikda(away) | 0-5 | Ligue 2 |
| Sep 16, 2011 | Mostaganem(home) | 2-0 | Ligue 2 |
| Sep 9, 2011 | Bordj BOU Arreridj(away) | 0-1 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2011 | Mérouana(home) | 1-0 | Ligue 2 |
| Sep 30, 2011 | Mostaganem(away) | 0-0 | Ligue 2 |
| Sep 23, 2011 | US Biskra(home) | 2-1 | Ligue 2 |
| Sep 16, 2011 | Bordj BOU Arreridj(away) | 0-1 | Ligue 2 |
| Sep 9, 2011 | ASM Oran(home) | 0-0 | Ligue 2 |
How many goals should we expect?
MO Constantine score 1.2 and concede 1.8 goals per match over their last 5; MSP Batna score 0.6 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MO Constantine | 1.2 | 1.8 | 1 | 2/5 | 3/5 |
| MSP Batna | 0.6 | 0.4 | 3 | 1/5 | 1/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
MO Constantine sit 7th in Ligue 2 (6 points from 4 matches) and MSP Batna sit 1st (11 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | MSP Batna | 5 | 3 | 2 | 0 | 6 | 3 | 11 |
| 7 | MO Constantine | 4 | 1 | 3 | 0 | 4 | 3 | 6 |
A question about MO Constantine vs MSP Batna?
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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