Hussein Dey vs MSP Batna: result 0-1 and analysis
Ligue 2Regular Season - 15Kick-off on December 21, 2012 at 02:00 PM (UTC)Stade Frères Zioui, Algiers
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What was the result of Hussein Dey vs MSP Batna?
MSP Batna won 0-1 on December 21, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hussein Dey have 6 wins, 7 draws and 2 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 |
|---|---|---|---|
| Dec 8, 2012 | Mostaganem(away) | 2-3 | Ligue 2 |
| Dec 4, 2012 | Blida(home) | 1-0 | Ligue 2 |
| Nov 27, 2012 | Mérouana(home) | 1-0 | Ligue 2 |
| Nov 24, 2012 | MO Bejaia(away) | 0-0 | Ligue 2 |
| Nov 10, 2012 | Mohammadia(away) | 1-2 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 7, 2012 | AIN Fakroun(home) | 3-3 | Ligue 2 |
| Dec 1, 2012 | Témouchent(away) | 1-2 | Ligue 2 |
| Nov 24, 2012 | Olympique Medea(home) | 0-1 | Ligue 2 |
| Nov 20, 2012 | USM Annaba(away) | 0-1 | Ligue 2 |
| Nov 9, 2012 | Khroub(home) | 1-0 | Ligue 2 |
How many goals should we expect?
Hussein Dey score 1.3 and concede 0.7 goals per match over their last 15; MSP Batna score 0.8 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hussein Dey | 1.3 | 0.7 | 10 | 5/15 | 5/15 |
| MSP Batna | 0.8 | 0.8 | 8 | 5/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Hussein Dey sit 9th in Ligue 2 (6 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 |
| 9 | Hussein DeyWest | 5 | 2 | 0 | 3 | 7 | 6 | 6 |
A question about Hussein Dey 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