MSP Batna vs Khroub: result 1-0 and analysis
Ligue 2Regular Season - 10Kick-off on November 9, 2012 at 05:00 PM (UTC)Stade du 1er novembre 1954, Batna
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What was the result of MSP Batna vs Khroub?
MSP Batna won 1-0 on November 9, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MSP Batna have 4 wins, 8 draws and 3 defeats; Khroub have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2012 | MC Saida(away) | 0-0 | Ligue 2 |
| Oct 22, 2012 | ASM Oran(home) | 1-0 | Ligue 2 |
| Oct 19, 2012 | MO Constantine(away) | 1-3 | Ligue 2 |
| Oct 15, 2012 | RC Arba(home) | 1-1 | Ligue 2 |
| Oct 5, 2012 | Mostaganem(home) | 1-1 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2012 | Hussein Dey(home) | 1-1 | Ligue 2 |
| Oct 23, 2012 | Mérouana(away) | 1-2 | Ligue 2 |
| Oct 19, 2012 | MO Bejaia(home) | 0-0 | Ligue 2 |
| Oct 16, 2012 | Blida(away) | 0-3 | Ligue 2 |
| Oct 5, 2012 | Témouchent(home) | 2-0 | Ligue 2 |
How many goals should we expect?
MSP Batna score 0.9 and concede 0.9 goals per match over their last 15; Khroub score 1.0 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MSP Batna | 0.9 | 0.9 | 9 | 5/15 | 4/15 |
| Khroub | 1.0 | 1.8 | 3 | 9/15 | 8/15 |
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 Khroub sit 8th (6 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | MSP Batna | 5 | 3 | 2 | 0 | 6 | 3 | 11 |
| 8 | Khroub | 5 | 1 | 3 | 1 | 3 | 3 | 6 |
A question about MSP Batna vs Khroub?
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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