Fleury 91 vs Wasquehal: result 4-1 and analysis
National 2 - Group BRegular Season - 18Kick-off on February 4, 2017 at 05:00 PM (UTC)Stade Robert Bobin, Bondoufle
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What was the result of Fleury 91 vs Wasquehal?
Fleury 91 won 4-1 on February 4, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fleury 91 have 7 wins, 4 draws and 4 defeats; Wasquehal have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 1, 2017 | Avranches(away) | 0-1 | Coupe de France |
| Jan 18, 2017 | Stade Brestois 29(home) | 2-0 | Coupe de France |
| Jan 14, 2017 | Croix Football IC(away) | 1-2 | National 2 - Group B |
| Dec 21, 2016 | Poissy(home) | 2-0 | National 2 - Group B |
| Dec 17, 2016 | Drancy(away) | 1-0 | National 2 - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 14, 2017 | Lille II(away) | 0-1 | National 2 - Group B |
| Dec 21, 2016 | Croix Football IC(home) | 2-2 | National 2 - Group B |
| Dec 17, 2016 | Viry Châtillon(home) | 4-2 | National 2 - Group B |
| Dec 10, 2016 | Amiens AC(away) | 1-3 | National 2 - Group B |
| Dec 4, 2016 | Lens(away) | 0-2 | Coupe de France |
What does the head-to-head say?
Across the last 1 meetings: 0 Fleury 91 win(s), 0 draw(s), 1 Wasquehal win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 3, 2016 | Wasquehal 1-0 Fleury 91 | National 2 - Group B |
Last archived meeting: Wasquehal vs Fleury 91 on Sep 3, 2016
How many goals should we expect?
Fleury 91 score 1.2 and concede 0.7 goals per match over their last 15; Wasquehal score 1.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fleury 91 | 1.2 | 0.7 | 8 | 5/15 | 5/15 |
| Wasquehal | 1.0 | 1.4 | 4 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Wasquehal | 30 | 10 | 4 | 16 | 28 | 44 | 34 |
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