Ivry vs Dunkerque: result 0-1 and analysis
National 2 - Group ARegular Season - 25Kick-off on March 23, 2013 at 05:00 PM (UTC)Stade de Clerville, Ivry-sur-Seine
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What was the result of Ivry vs Dunkerque?
Dunkerque won 0-1 on March 23, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ivry have 5 wins, 6 draws and 4 defeats; Dunkerque have 10, 5 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2013 | Poissy(home) | 1-1 | National 2 - Group A |
| Mar 2, 2013 | Mantes 78(away) | 0-1 | National 2 - Group A |
| Feb 16, 2013 | Compiègne(away) | 1-1 | National 2 - Group A |
| Feb 9, 2013 | Valenciennes II(home) | 1-1 | National 2 - Group A |
| Feb 2, 2013 | Lille II(home) | 0-0 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 16, 2013 | Amnéville(home) | 1-0 | National 2 - Group A |
| Mar 9, 2013 | Calvi(away) | 2-1 | National 2 - Group A |
| Mar 2, 2013 | Drancy(home) | 0-0 | National 2 - Group A |
| Feb 23, 2013 | Chambly Thelle FC(home) | 1-0 | National 2 - Group A |
| Feb 16, 2013 | Poissy(away) | 1-1 | National 2 - Group A |
What does the head-to-head say?
Across the last 3 meetings: 2 Ivry wins, 0 draws, 1 Dunkerque win.
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2012 | Dunkerque 0-1 Ivry | National 2 - Group A |
| May 18, 2012 | Dunkerque 1-0 Ivry | National 2 - Group A |
| Jan 28, 2012 | Ivry 4-1 Dunkerque | National 2 - Group A |
How many goals should we expect?
Ivry score 0.9 and concede 0.9 goals per match over their last 15; Dunkerque score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ivry | 0.9 | 0.9 | 6 | 7/15 | 3/15 |
| Dunkerque | 1.7 | 0.7 | 6 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Ivry vs Dunkerque?
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