Ivry vs Calvi: result 1-3 and analysis
National 2 - Group ARegular Season - 10Kick-off on November 3, 2012 at 04:00 PM (UTC)Stade de Clerville, Ivry-sur-Seine
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What was the result of Ivry vs Calvi?
Calvi won 1-3 on November 3, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ivry have 5 wins, 5 draws and 5 defeats; Calvi have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2012 | Dunkerque(away) | 1-0 | National 2 - Group A |
| Oct 6, 2012 | Chambly Thelle FC(home) | 1-1 | National 2 - Group A |
| Sep 22, 2012 | Poissy(away) | 0-2 | National 2 - Group A |
| Sep 15, 2012 | Mantes 78(home) | 3-3 | National 2 - Group A |
| Sep 8, 2012 | Lens II(away) | 4-1 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2012 | Amnéville(home) | 2-0 | National 2 - Group A |
| Oct 6, 2012 | Drancy(away) | 0-1 | National 2 - Group A |
| Sep 22, 2012 | Dunkerque(away) | 2-2 | National 2 - Group A |
| Sep 15, 2012 | Chambly Thelle FC(home) | 0-1 | National 2 - Group A |
| Sep 8, 2012 | Poissy(away) | 0-4 | National 2 - Group A |
What does the head-to-head say?
Across the last 2 meetings: 0 Ivry wins, 0 draws, 2 Calvi wins.
| Date | Score | Competition |
|---|---|---|
| Apr 28, 2012 | Ivry 2-4 Calvi | National 2 - Group A |
| Dec 3, 2011 | Calvi 2-0 Ivry | National 2 - Group A |
How many goals should we expect?
Ivry score 1.3 and concede 1.3 goals per match over their last 15; Calvi score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ivry | 1.3 | 1.3 | 3 | 9/15 | 5/15 |
| Calvi | 1.7 | 1.7 | 2 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Ivry 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