MSP Batna vs Olympique Medea: result 1-0 and analysis
Ligue 2Regular Season - 12Kick-off on December 2, 2011 at 02:00 PM (UTC)Stade du 1er novembre 1954, Batna
Full time
What was the result of MSP Batna vs Olympique Medea?
MSP Batna won 1-0 on December 2, 2011.
What is the recent form of both teams?
Over their last 11 matches in all competitions, MSP Batna have 4 wins, 3 draws and 4 defeats; Olympique Medea have 5, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 28, 2011 | JSM Skikda(away) | 0-2 | Ligue 2 |
| Oct 21, 2011 | Paradou AC(home) | 1-0 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2011 | Mostaganem(home) | 3-0 | Ligue 2 |
| Nov 15, 2011 | JSM Skikda(away) | 0-2 | Ligue 2 |
| Nov 4, 2011 | US Biskra(home) | 1-0 | Ligue 2 |
| Oct 28, 2011 | Bordj BOU Arreridj(away) | 0-3 | Ligue 2 |
| Oct 21, 2011 | MO Constantine(home) | 2-1 | Ligue 2 |
How many goals should we expect?
MSP Batna score 0.7 and concede 0.8 goals per match over their last 11; Olympique Medea score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MSP Batna | 0.7 | 0.8 | 6 | 3/11 | 3/11 |
| Olympique Medea | 1.0 | 1.0 | 5 | 3/11 | 4/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | MSP Batna | 5 | 3 | 2 | 0 | 6 | 3 | 11 |
A question about MSP Batna vs Olympique Medea?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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