Poissy vs Calvi: result 4-0 and analysis
National 2 - Group ARegular Season - 5Kick-off on September 8, 2012 at 04:00 PM (UTC)Stade Léo Lagrange, Poissy
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What was the result of Poissy vs Calvi?
Poissy won 4-0 on September 8, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Poissy have 1 win, 6 draws and 8 defeats; Calvi have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2012 | Dunkerque(away) | 0-1 | National 2 - Group A |
| Aug 25, 2012 | Chambly Thelle FC(home) | 0-2 | National 2 - Group A |
| Aug 18, 2012 | Drancy(away) | 0-3 | National 2 - Group A |
| Aug 11, 2012 | Mantes 78(away) | 0-4 | National 2 - Group A |
| Jun 2, 2012 | Avion(away) | 0-0 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2012 | Mantes 78(home) | 5-0 | National 2 - Group A |
| Aug 25, 2012 | Lens II(away) | 1-1 | National 2 - Group A |
| Aug 11, 2012 | Valenciennes II(away) | 1-2 | National 2 - Group A |
| Jun 2, 2012 | Aubervilliers(away) | 0-2 | National 2 - Group A |
| May 23, 2012 | Sénart Moissy(home) | 1-1 | National 2 - Group A |
What does the head-to-head say?
Across the last 2 meetings: 0 Poissy wins, 1 draw, 1 Calvi win.
| Date | Score | Competition |
|---|---|---|
| May 6, 2012 | Calvi 4-1 Poissy | National 2 - Group A |
| Dec 17, 2011 | Poissy 1-1 Calvi | National 2 - Group A |
How many goals should we expect?
Poissy score 0.8 and concede 1.9 goals per match over their last 15; Calvi score 1.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Poissy | 0.8 | 1.9 | 3 | 7/15 | 7/15 |
| Calvi | 1.9 | 1.6 | 2 | 11/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Poissy vs Calvi?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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