Compiègne vs Calvi: result 0-2 and analysis
National 2 - Group ARegular Season - 18Kick-off on April 10, 2013 at 06:00 PM (UTC)Stade Paul Cosnys, Compiègne
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What was the result of Compiègne vs Calvi?
Calvi won 0-2 on April 10, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Compiègne have 3 wins, 5 draws and 7 defeats; Calvi 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 |
|---|---|---|---|
| Apr 6, 2013 | Roye Noyon(away) | 1-1 | National 2 - Group A |
| Mar 30, 2013 | Villemomble Sports(home) | 0-2 | National 2 - Group A |
| Mar 23, 2013 | Lille II(away) | 0-1 | National 2 - Group A |
| Mar 9, 2013 | Aubervilliers(away) | 2-0 | National 2 - Group A |
| Mar 2, 2013 | Metz II(home) | 0-1 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2013 | Amiens AC(away) | 0-3 | National 2 - Group A |
| Mar 30, 2013 | Ivry(home) | 2-2 | National 2 - Group A |
| Mar 23, 2013 | Amnéville(away) | 0-3 | National 2 - Group A |
| Mar 16, 2013 | Drancy(home) | 1-1 | National 2 - Group A |
| Mar 9, 2013 | Dunkerque(home) | 1-2 | National 2 - Group A |
What does the head-to-head say?
Across the last 3 meetings: 1 Compiègne win, 2 draws, 0 Calvi wins.
| Date | Score | Competition |
|---|---|---|
| Dec 11, 2012 | Calvi 2-2 Compiègne | National 2 - Group A |
| May 19, 2012 | Compiègne 3-2 Calvi | National 2 - Group A |
| Mar 28, 2012 | Calvi 1-1 Compiègne | National 2 - Group A |
How many goals should we expect?
Compiègne score 0.8 and concede 1.3 goals per match over their last 15; Calvi score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Compiègne | 0.8 | 1.3 | 2 | 7/15 | 4/15 |
| Calvi | 1.5 | 1.5 | 4 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Compiègne vs Calvi?
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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