JSM Skikda vs MSP Batna: result 2-0 and analysis
Ligue 2Regular Season - 8Kick-off on October 28, 2011 at 02:00 PM (UTC)Stade du 20 Août 1955, Skikda
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What was the result of JSM Skikda vs MSP Batna?
JSM Skikda won 2-0 on October 28, 2011.
What is the recent form of both teams?
Over their last 7 matches in all competitions, JSM Skikda have 4 wins, 0 draws and 3 defeats; MSP Batna have 3, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2011 | MO Bejaia(away) | 0-1 | Ligue 2 |
| Oct 14, 2011 | USM Bel Abbes(home) | 1-0 | Ligue 2 |
| Oct 7, 2011 | Mostaganem(home) | 2-1 | Ligue 2 |
| Sep 30, 2011 | Bordj BOU Arreridj(away) | 0-2 | Ligue 2 |
| Sep 23, 2011 | MO Constantine(home) | 5-0 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2011 | Paradou AC(home) | 1-0 | Ligue 2 |
| Oct 14, 2011 | MO Constantine(away) | 1-2 | Ligue 2 |
| 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 |
How many goals should we expect?
JSM Skikda score 1.4 and concede 0.9 goals per match over their last 7; MSP Batna score 0.7 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JSM Skikda | 1.4 | 0.9 | 2 | 2/7 | 3/7 |
| MSP Batna | 0.7 | 0.6 | 4 | 2/7 | 2/7 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
JSM Skikda sit 6th in Ligue 2 (9 points from 5 matches) and MSP Batna sit 1st (14 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | MSP Batna | 6 | 4 | 2 | 0 | 7 | 3 | 14 |
| 6 | JSM Skikda | 5 | 3 | 0 | 2 | 6 | 4 | 9 |
A question about JSM Skikda 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