Ivry vs Quevilly: result 1-2 and analysis
National 2 - Group ARegular Season - 15Kick-off on January 10, 2015 at 04:00 PM (UTC)Stade de Clerville, Ivry-sur-Seine
Full time
What was the result of Ivry vs Quevilly?
Quevilly won 1-2 on January 10, 2015.
Goalscorers
- 8′Etienne PaillerIvry
- 24′J. ColinetQuevilly
- 56′G. BeaugrardQuevilly
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ivry have 0 wins, 7 draws and 8 defeats; Quevilly have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 13, 2014 | Lille II(home) | 0-0 | National 2 - Group A |
| Nov 29, 2014 | Mantes 78(away) | 0-2 | National 2 - Group A |
| Nov 22, 2014 | Beauvais(home) | 0-2 | National 2 - Group A |
| Nov 8, 2014 | Croix Football IC(away) | 1-1 | National 2 - Group A |
| Nov 1, 2014 | Dieppe(home) | 0-1 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 3, 2015 | Orleans(home) | 6-6 | Coupe de France |
| Dec 20, 2014 | PSG II(home) | 2-3 | National 2 - Group A |
| Dec 13, 2014 | Romorantin(home) | 1-2 | National 2 - Group A |
| Dec 7, 2014 | Saint-Louisienne(away) | 2-1 | Coupe de France |
| Nov 29, 2014 | Lens II(away) | 2-2 | National 2 - Group A |
What does the head-to-head say?
Across the last 2 meetings: 1 Ivry win(s), 0 draw(s), 1 Quevilly win(s).
| Date | Score | Competition |
|---|---|---|
| May 10, 2014 | Quevilly 3-1 Ivry | National 2 - Group A |
| Jan 11, 2014 | Ivry 2-1 Quevilly | National 2 - Group A |
How many goals should we expect?
Ivry score 0.5 and concede 1.7 goals per match over their last 15; Quevilly score 2.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ivry | 0.5 | 1.7 | 4 | 7/15 | 5/15 |
| Quevilly | 2.1 | 1.3 | 7 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy