MC Saida vs USM Annaba: result 1-0 and analysis
Ligue 2Regular Season - 14Kick-off on December 7, 2012 at 02:00 PM (UTC)Stade 13 Avril 1958, Saïda
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What was the result of MC Saida vs USM Annaba?
MC Saida won 1-0 on December 7, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MC Saida have 2 wins, 5 draws and 8 defeats; USM Annaba have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2012 | Khroub(away) | 1-1 | Ligue 2 |
| Nov 27, 2012 | RC Arba(home) | 2-3 | Ligue 2 |
| Nov 20, 2012 | ASM Oran(home) | 0-2 | Ligue 2 |
| Nov 10, 2012 | MO Constantine(away) | 2-1 | Ligue 2 |
| Nov 6, 2012 | MSP Batna(home) | 0-0 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2012 | ASM Oran(home) | 2-0 | Ligue 2 |
| Nov 24, 2012 | MO Constantine(away) | 1-0 | Ligue 2 |
| Nov 20, 2012 | MSP Batna(home) | 1-0 | Ligue 2 |
| Nov 10, 2012 | Mostaganem(away) | 0-1 | Ligue 2 |
| Nov 6, 2012 | Blida(home) | 3-1 | Ligue 2 |
How many goals should we expect?
MC Saida score 0.8 and concede 1.3 goals per match over their last 15; USM Annaba score 0.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MC Saida | 0.8 | 1.3 | 3 | 7/15 | 6/15 |
| USM Annaba | 0.8 | 1.0 | 7 | 3/15 | 5/15 |
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 USM Annaba sit 2nd (9 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | USM AnnabaEast | 5 | 3 | 0 | 2 | 9 | 4 | 9 |
| 4 | MC SaidaWest | 4 | 3 | 1 | 0 | 5 | 2 | 10 |
A question about MC Saida vs USM Annaba?
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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