RC Kouba vs MSP Batna: result 3-2 and analysis
Ligue 2Regular Season - 11Kick-off on November 19, 2011 at 02:00 PM (UTC)Stade Omar Benhaddad, Kouba
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What was the result of RC Kouba vs MSP Batna?
RC Kouba won 3-2 on November 19, 2011.
What is the recent form of both teams?
Over their last 10 matches in all competitions, RC Kouba have 4 wins, 2 draws and 4 defeats; MSP Batna have 4, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 15, 2011 | MO Bejaia(away) | 2-1 | Ligue 2 |
| Nov 4, 2011 | JSM Skikda(home) | 2-0 | Ligue 2 |
| Oct 28, 2011 | Mostaganem(away) | 1-3 | Ligue 2 |
| Oct 21, 2011 | ASM Oran(home) | 1-1 | Ligue 2 |
| Oct 14, 2011 | Bordj BOU Arreridj(away) | 0-2 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 14, 2011 | MO Constantine(away) | 1-2 | Ligue 2 |
How many goals should we expect?
RC Kouba score 1.1 and concede 1.2 goals per match over their last 10; MSP Batna score 0.6 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RC Kouba | 1.1 | 1.2 | 2 | 6/10 | 4/10 |
| MSP Batna | 0.6 | 0.6 | 6 | 2/10 | 2/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
RC Kouba sit 1st in Ligue 2 (13 points from 5 matches) and MSP Batna sit 1st (11 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | RC KoubaWest | 5 | 4 | 1 | 0 | 11 | 1 | 13 |
| 1 | MSP BatnaEast | 5 | 3 | 2 | 0 | 6 | 3 | 11 |
A question about RC Kouba 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