Amnéville vs Drancy: result 1-2 and analysis
National 2 - Group ARegular Season - 26Kick-off on March 30, 2013 at 05:00 PM (UTC)Stade Andre Valentin, Amnéville-les-Thermes
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What was the result of Amnéville vs Drancy?
Drancy won 1-2 on March 30, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Amnéville have 8 wins, 2 draws and 5 defeats; Drancy have 1, 9 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 27, 2013 | Villemomble Sports(home) | 1-3 | National 2 - Group A |
| Mar 23, 2013 | Calvi(home) | 3-0 | National 2 - Group A |
| Mar 16, 2013 | Dunkerque(away) | 0-1 | National 2 - Group A |
| Mar 9, 2013 | Chambly Thelle FC(home) | 1-1 | National 2 - Group A |
| Mar 2, 2013 | Poissy(away) | 1-1 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 27, 2013 | Mantes 78(home) | 1-1 | National 2 - Group A |
| Mar 23, 2013 | Roye Noyon(home) | 1-1 | National 2 - Group A |
| Mar 16, 2013 | Calvi(away) | 1-1 | National 2 - Group A |
| Mar 9, 2013 | Villemomble Sports(home) | 0-0 | National 2 - Group A |
| Mar 2, 2013 | Dunkerque(away) | 0-0 | National 2 - Group A |
What does the head-to-head say?
In the last meeting: 0 Amnéville wins, 1 draw, 0 Drancy wins.
| Date | Score | Competition |
|---|---|---|
| Nov 4, 2012 | Drancy 2-2 Amnéville | National 2 - Group A |
How many goals should we expect?
Amnéville score 1.4 and concede 1.1 goals per match over their last 15; Drancy score 0.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Amnéville | 1.4 | 1.1 | 5 | 8/15 | 7/15 |
| Drancy | 0.7 | 1.0 | 6 | 7/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Amnéville vs Drancy?
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