MSP Batna vs MC Saida: result 1-0 and analysis
Ligue 2Regular Season - 24Kick-off on March 16, 2013 at 02:00 PM (UTC)Stade du 1er novembre 1954, Batna
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What was the result of MSP Batna vs MC Saida?
MSP Batna won 1-0 on March 16, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MSP Batna have 5 wins, 2 draws and 8 defeats; MC Saida have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 8, 2013 | ASM Oran(away) | 0-3 | Ligue 2 |
| Feb 22, 2013 | MO Constantine(home) | 1-2 | Ligue 2 |
| Feb 15, 2013 | RC Arba(away) | 0-1 | Ligue 2 |
| Feb 9, 2013 | Mérouana(away) | 2-3 | Ligue 2 |
| Feb 1, 2013 | Mérouana(home) | 3-0 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 8, 2013 | Mostaganem(home) | 1-0 | Ligue 2 |
| Feb 22, 2013 | AIN Fakroun(away) | 1-2 | Ligue 2 |
| Feb 15, 2013 | Mérouana(home) | 2-1 | Ligue 2 |
| Feb 8, 2013 | MO Bejaia(away) | 0-2 | Ligue 2 |
| Feb 1, 2013 | Blida(home) | 2-0 | Ligue 2 |
What does the head-to-head say?
In the last meeting: 0 MSP Batna wins, 1 draw, 0 MC Saida wins.
| Date | Score | Competition |
|---|---|---|
| Nov 6, 2012 | MC Saida 0-0 MSP Batna | Ligue 2 |
How many goals should we expect?
MSP Batna score 1.1 and concede 1.3 goals per match over their last 15; MC Saida score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MSP Batna | 1.1 | 1.3 | 5 | 5/15 | 7/15 |
| MC Saida | 0.9 | 0.9 | 7 | 6/15 | 4/15 |
Over the last 15 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 MC Saida sit 4th (10 points from 4 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 |
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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