PSG II vs Romorantin: result 0-2 and analysis
National 2 - Group ARegular Season - 12Kick-off on November 26, 2016 at 03:00 PM (UTC)Stade Municipal Georges Lefèvre, Saint-Germain-en-Laye
Full time
What was the result of PSG II vs Romorantin?
Romorantin won 0-2 on November 26, 2016.
Goalscorers
- 7′S. PersicoRomorantin
- 80′R. SouyeuxRomorantin
What is the recent form of both teams?
Over their last 15 matches in all competitions, PSG II have 6 wins, 2 draws and 7 defeats; Romorantin have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2016 | Cholet(away) | 1-2 | National 2 - Group A |
| Nov 5, 2016 | Mantes 78(home) | 2-3 | National 2 - Group A |
| Oct 29, 2016 | Vendée Fontenay(home) | 1-1 | National 2 - Group A |
| Oct 15, 2016 | Chartres(away) | 0-1 | National 2 - Group A |
| Oct 1, 2016 | St Malo US(home) | 0-1 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2016 | Chartres(home) | 1-0 | National 2 - Group A |
| Nov 11, 2016 | Blois(home) | 2-3 | Coupe de France |
| Nov 5, 2016 | St Malo US(away) | 1-1 | National 2 - Group A |
| Oct 29, 2016 | Bergerac(home) | 0-1 | National 2 - Group A |
| Oct 15, 2016 | Nantes II(away) | 0-3 | National 2 - Group A |
What does the head-to-head say?
Across the last 2 meetings: 1 PSG II win(s), 1 draw(s), 0 Romorantin win(s).
| Date | Score | Competition |
|---|---|---|
| May 16, 2015 | PSG II 1-1 Romorantin | National 2 - Group A |
| Jan 17, 2015 | Romorantin 1-2 PSG II | National 2 - Group A |
How many goals should we expect?
PSG II score 1.5 and concede 1.2 goals per match over their last 15; Romorantin score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSG II | 1.5 | 1.2 | 3 | 8/15 | 7/15 |
| Romorantin | 1.5 | 1.5 | 4 | 8/15 | 8/15 |
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