Boulogne-Billancourt vs Roye Noyon: result 3-1 and analysis
National 2 - Group ARegular Season - 21Kick-off on March 12, 2016 at 05:00 PM (UTC)Complexe sportif Marcel Bec - Terrain 4, Meudon
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What was the result of Boulogne-Billancourt vs Roye Noyon?
Boulogne-Billancourt won 3-1 on March 12, 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; Roye Noyon have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Jan 30, 2016 | Troyes II(away) | 4-0 | National 2 - Group A |
| Jan 23, 2016 | Croix Football IC(home) | 2-0 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2016 | PSG II(home) | 3-0 | National 2 - Group A |
| Mar 5, 2016 | Amiens AC(home) | 4-3 | National 2 - Group A |
| Feb 27, 2016 | Dieppe(home) | 1-0 | National 2 - Group A |
| Feb 24, 2016 | Arras(away) | 2-5 | National 2 - Group A |
| Feb 20, 2016 | Troyes II(away) | 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 Roye Noyon win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 3, 2015 | Roye Noyon 1-0 Boulogne-Billancourt | National 2 - Group A |
Last archived meeting: Roye Noyon vs Boulogne-Billancourt on Oct 3, 2015
How many goals should we expect?
Boulogne-Billancourt score 1.7 and concede 0.8 goals per match over their last 15; Roye Noyon score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Boulogne-Billancourt | 1.7 | 0.8 | 7 | 5/15 | 7/15 |
| Roye Noyon | 1.3 | 1.9 | 3 | 8/15 | 9/15 |
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