Quevilly vs PSG II: result 2-3 and analysis
National 2 - Group ARegular Season - 17Kick-off on February 1, 2014 at 04:00 PM (UTC)Stade Amable Lozai, Le-Petit-Quévilly
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What was the result of Quevilly vs PSG II?
PSG II won 2-3 on February 1, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Quevilly have 5 wins, 4 draws and 6 defeats; PSG II have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 25, 2014 | Villemomble Sports(away) | 0-1 | National 2 - Group A |
| Jan 11, 2014 | Ivry(away) | 1-2 | National 2 - Group A |
| Dec 14, 2013 | Dieppe(away) | 2-0 | National 2 - Group A |
| Dec 7, 2013 | Aubervilliers(home) | 1-2 | National 2 - Group A |
| Nov 30, 2013 | Sannois-St-Gratien(home) | 0-1 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 11, 2014 | Lille II(home) | 0-3 | National 2 - Group A |
| Dec 21, 2013 | Drancy(away) | 0-0 | National 2 - Group A |
| Dec 14, 2013 | Mantes 78(home) | 1-2 | National 2 - Group A |
| Nov 30, 2013 | Roye Noyon(away) | 0-3 | National 2 - Group A |
| Nov 23, 2013 | Villemomble Sports(away) | 3-1 | National 2 - Group A |
What does the head-to-head say?
In the last meeting: 0 Quevilly wins, 1 draw, 0 PSG II wins.
| Date | Score | Competition |
|---|---|---|
| Sep 7, 2013 | PSG II 0-0 Quevilly | National 2 - Group A |
How many goals should we expect?
Quevilly score 0.9 and concede 0.8 goals per match over their last 15; PSG II score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Quevilly | 0.9 | 0.8 | 7 | 5/15 | 3/15 |
| PSG II | 1.1 | 1.4 | 4 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Quevilly vs PSG II?
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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