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 wins, 1 draw, 0 Quevilly wins.
| 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.
A question about PSG II vs Quevilly?
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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