Brétigny Foot vs PSG II: result 0-1 and analysis
National 3 - Group LParis Île-de-France - 1Kick-off on August 30, 2020 at 01:00 PM (UTC)Stade Auguste Delaune, Brétigny-sur-Orge
Full time
What was the result of Brétigny Foot vs PSG II?
PSG II won 0-1 on August 30, 2020.
Goalscorers
- 89′L. LapougePSG II
What is the recent form of both teams?
Over their last 5 matches in all competitions, Brétigny Foot have 1 wins, 1 draws and 3 defeats; PSG II 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 21, 2015 | Ajaccio(home) | 1-2 | Coupe de France |
| Dec 8, 2013 | Jura Sud Foot(home) | 2-2 | Coupe de France |
| Nov 17, 2013 | Blanc Mesnil(away) | 2-1 | Coupe de France |
| Nov 18, 2012 | Le Havre(home) | 0-2 | Coupe de France |
| Nov 20, 2011 | Saran Municipal(away) | 2-3 | Coupe de France |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 7, 2020 | Boulogne-Billancourt(away) | 1-1 | National 3 - Group L |
| Feb 15, 2020 | Aubervilliers(away) | 0-0 | National 3 - Group L |
| Feb 8, 2020 | Créteil II(home) | 0-4 | National 3 - Group L |
| Jan 25, 2020 | Blanc Mesnil(away) | 0-1 | National 3 - Group L |
| Jan 11, 2020 | Versailles(away) | 0-3 | National 3 - Group L |
How many goals should we expect?
Brétigny Foot score 1.4 and concede 2.0 goals per match over their last 5; PSG II score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brétigny Foot | 1.4 | 2.0 | 0 | 4/5 | 4/5 |
| PSG II | 1.3 | 1.5 | 3 | 7/15 | 8/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
Brétigny Foot sit 7th in National 3 - Group L (35 points from 26 matches) and PSG II sit 12th (30 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Brétigny Foot | 26 | 11 | 2 | 13 | 28 | 32 | 35 |
| 12 | PSG II | 26 | 7 | 9 | 10 | 31 | 30 | 30 |
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