Poissy vs Boulogne-Billancourt: result 2-0 and analysis
National 2 - Group AMatchday 30Kick-off on June 4, 2016 at 04:00 PM (UTC)Stade Léo Lagrange, Poissy
Full time
What was the result of Poissy vs Boulogne-Billancourt?
Poissy won 2-0 on June 4, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Poissy have 7 wins, 4 draws and 4 defeats; Boulogne-Billancourt 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 28, 2016 | Amiens AC(away) | 1-3 | National 2 - Group A |
| May 14, 2016 | Troyes II(home) | 5-1 | National 2 - Group A |
| May 7, 2016 | Croix Football IC(away) | 1-2 | National 2 - Group A |
| Apr 30, 2016 | Quevilly(home) | 1-4 | National 2 - Group A |
| Apr 16, 2016 | Dieppe(home) | 1-0 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2016 | Dieppe(home) | 1-1 | National 2 - Group A |
| May 14, 2016 | Aubervilliers(away) | 0-0 | National 2 - Group A |
| May 7, 2016 | Arras(home) | 1-2 | National 2 - Group A |
| Apr 30, 2016 | PSG II(away) | 1-2 | National 2 - Group A |
| Apr 16, 2016 | Calais(home) | 1-2 | National 2 - Group A |
What does the head-to-head say?
In the last meeting: 0 Poissy wins, 1 draw, 0 Boulogne-Billancourt wins.
| Date | Score | Competition |
|---|---|---|
| Aug 15, 2015 | Boulogne-Billancourt 0-0 Poissy | National 2 - Group A |
Last archived meeting: Boulogne-Billancourt vs Poissy on Aug 15, 2015
How many goals should we expect?
Poissy score 1.7 and concede 1.6 goals per match over their last 15; Boulogne-Billancourt score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Poissy | 1.7 | 1.6 | 2 | 12/15 | 12/15 |
| Boulogne-Billancourt | 1.3 | 1.1 | 6 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Poissy vs Boulogne-Billancourt?
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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