MSP Batna vs RC Arba: result 1-1 and analysis
Ligue 2Regular Season - 6Kick-off on October 15, 2012 at 05:00 PM (UTC)Stade du 1er novembre 1954, Batna
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What was the result of MSP Batna vs RC Arba?
MSP Batna and RC Arba drew 1-1 on October 15, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MSP Batna have 3 wins, 8 draws and 4 defeats; RC Arba have 3, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2012 | Mostaganem(home) | 1-1 | Ligue 2 |
| Sep 28, 2012 | Mérouana(away) | 0-0 | Ligue 2 |
| Sep 21, 2012 | MO Bejaia(home) | 2-0 | Ligue 2 |
| Sep 18, 2012 | Blida(away) | 0-0 | Ligue 2 |
| Sep 14, 2012 | Mohammadia(home) | 0-0 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2012 | Mohammadia(home) | 1-0 | Ligue 2 |
| Sep 29, 2012 | Hussein Dey(away) | 0-0 | Ligue 2 |
| Sep 21, 2012 | AIN Fakroun(home) | 1-0 | Ligue 2 |
| Sep 18, 2012 | Témouchent(away) | 1-1 | Ligue 2 |
| Sep 14, 2012 | Olympique Medea(home) | 2-0 | Ligue 2 |
How many goals should we expect?
MSP Batna score 0.8 and concede 0.9 goals per match over their last 15; RC Arba score 1.0 and concede 0.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MSP Batna | 0.8 | 0.9 | 8 | 4/15 | 4/15 |
| RC Arba | 1.0 | 0.2 | 4 | 1/5 | 0/5 |
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 RC Arba sit 16th (0 points from 1 match).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | MSP BatnaEast | 5 | 3 | 2 | 0 | 6 | 3 | 11 |
| 16 | RC ArbaWest | 1 | 0 | 0 | 1 | 0 | 3 | 0 |
A question about MSP Batna vs RC Arba?
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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