Quevilly vs Wasquehal: result 4-0 and analysis
National 2 - Group ARegular Season - 27Kick-off on May 7, 2016 at 04:00 PM (UTC)Stade Robert Diochon, Le Petit-Quevilly
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What was the result of Quevilly vs Wasquehal?
Quevilly won 4-0 on May 7, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Quevilly have 9 wins, 5 draws and 1 defeat; Wasquehal have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2016 | Poissy(away) | 4-1 | National 2 - Group A |
| Apr 16, 2016 | Mantes 78(home) | 2-0 | National 2 - Group A |
| Apr 9, 2016 | Dieppe(away) | 1-0 | National 2 - Group A |
| Apr 2, 2016 | Roye Noyon(home) | 2-0 | National 2 - Group A |
| Mar 26, 2016 | Arras(away) | 1-0 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2016 | Mantes 78(home) | 3-0 | National 2 - Group A |
| Apr 16, 2016 | Roye Noyon(away) | 1-0 | National 2 - Group A |
| Apr 9, 2016 | Lens II(home) | 3-3 | National 2 - Group A |
| Apr 2, 2016 | Boulogne-Billancourt(away) | 2-2 | National 2 - Group A |
| Mar 19, 2016 | Amiens AC(home) | 2-0 | National 2 - Group A |
What does the head-to-head say?
In the last meeting: 0 Quevilly wins, 1 draw, 0 Wasquehal wins.
| Date | Score | Competition |
|---|---|---|
| Dec 12, 2015 | Wasquehal 0-0 Quevilly | National 2 - Group A |
Last archived meeting: Wasquehal vs Quevilly on Dec 12, 2015
How many goals should we expect?
Quevilly score 1.8 and concede 0.7 goals per match over their last 15; Wasquehal score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Quevilly | 1.8 | 0.7 | 8 | 7/15 | 5/15 |
| Wasquehal | 1.5 | 1.1 | 5 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Quevilly vs Wasquehal?
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