Romorantin vs PSG II: result 1-0 and analysis
National 2 - Group ARegular Season - 26Kick-off on April 15, 2017 at 04:00 PM (UTC)Stade Jules Ladoumègue
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What was the result of Romorantin vs PSG II?
Romorantin won 1-0 on April 15, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Romorantin have 9 wins, 2 draws and 4 defeats; PSG II have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Chartres(away) | 4-1 | National 2 - Group A |
| Apr 1, 2017 | St Malo US(home) | 3-1 | National 2 - Group A |
| Mar 18, 2017 | Bergerac(away) | 1-2 | National 2 - Group A |
| Mar 11, 2017 | Nantes II(home) | 1-1 | National 2 - Group A |
| Mar 4, 2017 | Granville(away) | 1-0 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Cholet(home) | 3-3 | National 2 - Group A |
| Mar 25, 2017 | Mantes 78(away) | 3-0 | National 2 - Group A |
| Mar 18, 2017 | Vendée Fontenay(away) | 1-2 | National 2 - Group A |
| Mar 11, 2017 | Chartres(home) | 1-1 | National 2 - Group A |
| Mar 4, 2017 | St Malo US(away) | 1-2 | National 2 - Group A |
What does the head-to-head say?
Across the last 3 meetings: 1 Romorantin win(s), 1 draw(s), 1 PSG II win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 26, 2016 | PSG II 0-2 Romorantin | National 2 - Group A |
| 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?
Romorantin score 1.5 and concede 0.8 goals per match over their last 15; PSG II score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Romorantin | 1.5 | 0.8 | 8 | 4/15 | 5/15 |
| PSG II | 1.7 | 1.1 | 4 | 10/15 | 11/15 |
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