Boulogne-Billancourt vs Trélissac: result 0-1 and analysis
National 2 - Group DMatchday 11Kick-off on November 18, 2017 at 06:00 PM (UTC)Complexe sportif Marcel Bec - Terrain 4, Meudon
Full time
What was the result of Boulogne-Billancourt vs Trélissac?
Trélissac won 0-1 on November 18, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Boulogne-Billancourt have 6 wins, 1 draw and 8 defeats; Trélissac have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2017 | Le Havre II(away) | 4-3 | National 2 - Group D |
| Oct 28, 2017 | Limoges(home) | 2-1 | National 2 - Group D |
| Oct 14, 2017 | Romorantin(away) | 0-1 | National 2 - Group D |
| Sep 30, 2017 | Mantes 78(home) | 2-1 | National 2 - Group D |
| Sep 16, 2017 | Saint-Malo(away) | 2-5 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2017 | Stade Briochin(home) | 0-1 | National 2 - Group D |
| Oct 28, 2017 | Le Havre II(away) | 1-2 | National 2 - Group D |
| Oct 14, 2017 | Vendée Fontenay(home) | 3-0 | National 2 - Group D |
| Sep 30, 2017 | Limoges(away) | 2-2 | National 2 - Group D |
| Sep 16, 2017 | Chartres(home) | 0-1 | National 2 - Group D |
How many goals should we expect?
Boulogne-Billancourt score 1.9 and concede 2.0 goals per match over their last 15; Trélissac score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Boulogne-Billancourt | 1.9 | 2.0 | 0 | 11/15 | 11/15 |
| Trélissac | 1.1 | 1.1 | 6 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Trélissac | 30 | 12 | 9 | 9 | 33 | 28 | 45 |
A question about Boulogne-Billancourt vs Trélissac?
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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