MC Saida vs MSP Batna: result 0-0 and analysis
Ligue 2Regular Season - 9Kick-off on November 6, 2012 at 02:00 PM (UTC)Stade du 24 février 1956, Sidi Bel Abbès
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What was the result of MC Saida vs MSP Batna?
MC Saida and MSP Batna drew 0-0 on November 6, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MC Saida have 1 win, 4 draws and 10 defeats; MSP Batna have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2012 | Mostaganem(away) | 1-2 | Ligue 2 |
| Oct 19, 2012 | AIN Fakroun(home) | 0-1 | Ligue 2 |
| Oct 16, 2012 | Mérouana(away) | 1-1 | Ligue 2 |
| Oct 5, 2012 | MO Bejaia(home) | 0-1 | Ligue 2 |
| Sep 28, 2012 | Blida(away) | 2-2 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2012 | ASM Oran(home) | 1-0 | Ligue 2 |
| Oct 19, 2012 | MO Constantine(away) | 1-3 | Ligue 2 |
| Oct 15, 2012 | RC Arba(home) | 1-1 | Ligue 2 |
| Oct 5, 2012 | Mostaganem(home) | 1-1 | Ligue 2 |
| Sep 28, 2012 | Mérouana(away) | 0-0 | Ligue 2 |
How many goals should we expect?
MC Saida score 0.6 and concede 1.7 goals per match over their last 15; MSP Batna score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MC Saida | 0.6 | 1.7 | 2 | 6/15 | 7/15 |
| MSP Batna | 0.9 | 1.0 | 8 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
MC Saida sit 4th in Ligue 2 (10 points from 4 matches) and MSP Batna sit 1st (11 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | MSP BatnaEast | 5 | 3 | 2 | 0 | 6 | 3 | 11 |
| 4 | MC SaidaWest | 4 | 3 | 1 | 0 | 5 | 2 | 10 |
A question about MC Saida 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