Paris II vs PSG II: result 2-1 and analysis
National 3 - Group LGroup L - 11Kick-off on November 30, 2019 at 05:00 PM (UTC)Stade des Frères Déjerine, Paris
Full time
What was the result of Paris II vs PSG II?
Paris II won 2-1 on November 30, 2019.
Goalscorers
- 26′P. KoffiParis II
- 58′N. YacoubiParis II
- 82′191585PSG II
What is the recent form of both teams?
Over their last 10 matches in all competitions, Paris II have 5 wins, 1 draws and 4 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 23, 2019 | Versailles(away) | 1-3 | National 3 - Group L |
| Nov 9, 2019 | Les Ulis(home) | 0-1 | National 3 - Group L |
| Nov 2, 2019 | Racing Colombes 92(away) | 1-0 | National 3 - Group L |
| Oct 19, 2019 | Ivry(away) | 1-3 | National 3 - Group L |
| Oct 5, 2019 | Noisy-le-Grand(home) | 2-0 | National 3 - Group L |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Ivry(home) | 1-1 | National 3 - Group L |
| Nov 9, 2019 | Noisy-le-Grand(away) | 4-0 | National 3 - Group L |
| Nov 2, 2019 | Saint-Leu(home) | 2-0 | National 3 - Group L |
| Oct 19, 2019 | Torcy(away) | 0-2 | National 3 - Group L |
| Oct 12, 2019 | Aubervilliers(home) | 3-1 | National 3 - Group L |
How many goals should we expect?
Paris II score 1.4 and concede 1.3 goals per match over their last 10; PSG II score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paris II | 1.4 | 1.3 | 3 | 6/10 | 6/10 |
| PSG II | 1.3 | 1.3 | 2 | 8/15 | 6/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Paris II sit 11th in National 3 - Group L (32 points from 26 matches) and PSG II sit 12th (30 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Paris II | 26 | 8 | 8 | 10 | 45 | 44 | 32 |
| 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