Fréjus St-Raphaël vs Montpellier II: result 2-1 and analysis
National 2 - Group DRegular Season - 30Kick-off on May 20, 2017 at 04:00 PM (UTC)Stade Louis Hon, Saint-Raphaël
Full time
What was the result of Fréjus St-Raphaël vs Montpellier II?
Fréjus St-Raphaël won 2-1 on May 20, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fréjus St-Raphaël have 8 wins, 3 draws and 4 defeats; Montpellier II have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2017 | Olympique Marseille II(away) | 3-1 | National 2 - Group D |
| Apr 29, 2017 | Le Pontet US(away) | 2-0 | National 2 - Group D |
| Apr 22, 2017 | Nice II(home) | 1-2 | National 2 - Group D |
| Apr 15, 2017 | Stade Montois(away) | 1-2 | National 2 - Group D |
| Apr 8, 2017 | Sète(home) | 1-0 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2017 | Le Pontet US(home) | 2-1 | National 2 - Group D |
| Apr 29, 2017 | Stade Montois(away) | 0-3 | National 2 - Group D |
| Apr 22, 2017 | Rodez(home) | 2-0 | National 2 - Group D |
| Apr 15, 2017 | Paulhan Pézenas(away) | 0-2 | National 2 - Group D |
| Apr 8, 2017 | Hyères(home) | 1-1 | National 2 - Group D |
What does the head-to-head say?
Across the last 1 meetings: 0 Fréjus St-Raphaël win(s), 0 draw(s), 1 Montpellier II win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 13, 2016 | Montpellier II 1-0 Fréjus St-Raphaël | National 2 - Group D |
Last archived meeting: Montpellier II vs Fréjus St-Raphaël on Aug 13, 2016
How many goals should we expect?
Fréjus St-Raphaël score 1.5 and concede 0.9 goals per match over their last 15; Montpellier II score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fréjus St-Raphaël | 1.5 | 0.9 | 7 | 6/15 | 6/15 |
| Montpellier II | 1.1 | 1.5 | 2 | 9/15 | 9/15 |
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