MSP Batna vs Blida: result 1-0 and analysis
Ligue 2Regular Season - 14Kick-off on December 16, 2011 at 02:00 PM (UTC)Stade du 1er novembre 1954, Batna
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What was the result of MSP Batna vs Blida?
MSP Batna won 1-0 on December 16, 2011.
What is the recent form of both teams?
Over their last 13 matches in all competitions, MSP Batna have 5 wins, 4 draws and 4 defeats; Blida have 4, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 9, 2011 | USM Annaba(away) | 1-1 | Ligue 2 |
| Dec 2, 2011 | Olympique Medea(home) | 1-0 | Ligue 2 |
| Nov 19, 2011 | RC Kouba(away) | 2-3 | Ligue 2 |
| Nov 15, 2011 | USM Bel Abbes(home) | 0-0 | Ligue 2 |
| Nov 3, 2011 | MO Bejaia(home) | 1-0 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 9, 2011 | MO Bejaia(home) | 2-1 | Ligue 2 |
| Dec 2, 2011 | JSM Skikda(away) | 1-2 | Ligue 2 |
| Nov 19, 2011 | Paradou AC(home) | 1-0 | Ligue 2 |
| Nov 15, 2011 | Bordj BOU Arreridj(away) | 1-2 | Ligue 2 |
| Nov 4, 2011 | MO Constantine(home) | 1-0 | Ligue 2 |
How many goals should we expect?
MSP Batna score 0.8 and concede 0.8 goals per match over their last 13; Blida score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MSP Batna | 0.8 | 0.8 | 7 | 4/13 | 3/13 |
| Blida | 0.7 | 0.9 | 6 | 5/13 | 4/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
MSP Batna sit 1st in Ligue 2 (11 points from 5 matches) and Blida sit 1st (13 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | MSP BatnaEast | 5 | 3 | 2 | 0 | 6 | 3 | 11 |
| 1 | BlidaWest | 5 | 4 | 1 | 0 | 9 | 3 | 13 |
A question about MSP Batna vs Blida?
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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