Boulogne-Billancourt vs Wasquehal: result 2-2 and analysis
National 2 - Group ARegular Season - 23Kick-off on April 2, 2016 at 03:00 PM (UTC)Complexe sportif Marcel Bec - Terrain 4, Meudon
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What was the result of Boulogne-Billancourt vs Wasquehal?
Boulogne-Billancourt and Wasquehal drew 2-2 on April 2, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Boulogne-Billancourt have 9 wins, 2 draws and 4 defeats; Wasquehal have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2016 | Mantes 78(away) | 1-2 | National 2 - Group A |
| Mar 12, 2016 | Roye Noyon(home) | 3-1 | National 2 - Group A |
| Mar 5, 2016 | Lens II(away) | 1-0 | National 2 - Group A |
| Feb 20, 2016 | Quevilly(away) | 1-4 | National 2 - Group A |
| Feb 13, 2016 | Amiens AC(home) | 0-0 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2016 | Amiens AC(home) | 2-0 | National 2 - Group A |
| Mar 12, 2016 | Troyes II(away) | 4-0 | National 2 - Group A |
| Mar 5, 2016 | Croix Football IC(home) | 0-2 | National 2 - Group A |
| Feb 20, 2016 | Poissy(away) | 1-2 | National 2 - Group A |
| Feb 13, 2016 | Dieppe(home) | 1-1 | National 2 - Group A |
What does the head-to-head say?
Across the last 1 meetings: 0 Boulogne-Billancourt win(s), 0 draw(s), 1 Wasquehal win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 31, 2015 | Wasquehal 1-0 Boulogne-Billancourt | National 2 - Group A |
Last archived meeting: Wasquehal vs Boulogne-Billancourt on Oct 31, 2015
How many goals should we expect?
Boulogne-Billancourt score 1.8 and concede 0.9 goals per match over their last 15; Wasquehal score 1.4 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Boulogne-Billancourt | 1.8 | 0.9 | 7 | 6/15 | 8/15 |
| Wasquehal | 1.4 | 1.0 | 4 | 8/15 | 7/15 |
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