Mostaganem vs MSP Batna: result 0-0 and analysis
Ligue 2Regular Season - 4Kick-off on September 30, 2011 at 05:00 PM (UTC)Stade Commandant Ferradj, Mostaganem
Full time
What was the result of Mostaganem vs MSP Batna?
Mostaganem and MSP Batna drew 0-0 on September 30, 2011.
What is the recent form of both teams?
Over their last 3 matches in all competitions, Mostaganem have 1 win, 1 draw and 1 defeat; MSP Batna have 1, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2011 | Bordj BOU Arreridj(home) | 0-0 | Ligue 2 |
| Sep 16, 2011 | MO Constantine(away) | 0-2 | Ligue 2 |
| Sep 9, 2011 | Mérouana(home) | 4-1 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2011 | US Biskra(home) | 2-1 | Ligue 2 |
| Sep 16, 2011 | Bordj BOU Arreridj(away) | 0-1 | Ligue 2 |
| Sep 9, 2011 | ASM Oran(home) | 0-0 | Ligue 2 |
How many goals should we expect?
Mostaganem score 1.3 and concede 1.0 goals per match over their last 3; MSP Batna score 0.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mostaganem | 1.3 | 1.0 | 1 | 1/3 | 1/3 |
| MSP Batna | 0.7 | 0.7 | 1 | 1/3 | 1/3 |
Over the last 3 matches in all competitions.
Where do both teams sit in the table?
Mostaganem sit 7th in Ligue 2 (7 points from 5 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 |
| 7 | MostaganemWest | 5 | 2 | 1 | 2 | 7 | 7 | 7 |
A question about Mostaganem vs MSP Batna?
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