PSG II vs Quevilly: result 2-0 and analysis
National 2 - Group ARegular Season - 28Kick-off on May 9, 2015 at 02:00 PM (UTC)Stade Municipal Georges Lefèvre, Saint-Germain-en-Laye
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What was the result of PSG II vs Quevilly?
PSG II won 2-0 on May 9, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, PSG II have 8 wins, 2 draws and 5 defeats; Quevilly have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2015 | Lens II(away) | 2-1 | National 2 - Group A |
| Apr 25, 2015 | Lille II(home) | 2-1 | National 2 - Group A |
| Apr 11, 2015 | Mantes 78(away) | 2-0 | National 2 - Group A |
| Apr 4, 2015 | Beauvais(home) | 0-0 | National 2 - Group A |
| Mar 28, 2015 | Croix Football IC(away) | 2-2 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2015 | Romorantin(away) | 2-0 | National 2 - Group A |
| Apr 25, 2015 | Lens II(home) | 0-1 | National 2 - Group A |
| Apr 22, 2015 | Lille II(away) | 2-1 | National 2 - Group A |
| Apr 4, 2015 | Mantes 78(home) | 1-1 | National 2 - Group A |
| Mar 28, 2015 | Beauvais(away) | 0-2 | National 2 - Group A |
What does the head-to-head say?
Across the last 3 meetings: 2 PSG II win(s), 1 draw(s), 0 Quevilly win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 20, 2014 | Quevilly 2-3 PSG II | National 2 - Group A |
| Feb 1, 2014 | Quevilly 2-3 PSG II | National 2 - Group A |
| Sep 7, 2013 | PSG II 0-0 Quevilly | National 2 - Group A |
How many goals should we expect?
PSG II score 1.5 and concede 1.3 goals per match over their last 15; Quevilly score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSG II | 1.5 | 1.3 | 3 | 10/15 | 10/15 |
| Quevilly | 1.1 | 1.2 | 3 | 9/15 | 6/15 |
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