Fréjus St-Raphaël vs Grasse: result 2-1 and analysis
National 2 - Group ARegular Season - 17Kick-off on January 20, 2018 at 06:00 PM (UTC)Stade Louis Hon, Saint-Raphaël
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What was the result of Fréjus St-Raphaël vs Grasse?
Fréjus St-Raphaël won 2-1 on January 20, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fréjus St-Raphaël have 6 wins, 5 draws and 4 defeats; Grasse have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 13, 2018 | Bergerac(away) | 1-1 | National 2 - Group A |
| Dec 20, 2017 | Colomiers(home) | 0-2 | National 2 - Group A |
| Dec 16, 2017 | Martigues(home) | 3-0 | National 2 - Group A |
| Dec 9, 2017 | Marignane(away) | 3-1 | National 2 - Group A |
| Nov 25, 2017 | Nice II(home) | 1-2 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 13, 2018 | Stade Bordelais(home) | 2-1 | National 2 - Group A |
| Dec 20, 2017 | Nice II(away) | 0-1 | National 2 - Group A |
| Dec 16, 2017 | Tarbes(home) | 2-0 | National 2 - Group A |
| Dec 9, 2017 | Hyères(away) | 1-2 | National 2 - Group A |
| Nov 25, 2017 | Stade Montois(home) | 2-2 | National 2 - Group A |
What does the head-to-head say?
Across the last 1 meetings: 0 Fréjus St-Raphaël win(s), 1 draw(s), 0 Grasse win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 26, 2017 | Grasse 0-0 Fréjus St-Raphaël | National 2 - Group A |
Last archived meeting: Grasse vs Fréjus St-Raphaël on Aug 26, 2017
How many goals should we expect?
Fréjus St-Raphaël score 1.5 and concede 0.9 goals per match over their last 15; Grasse score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fréjus St-Raphaël | 1.5 | 0.9 | 4 | 8/15 | 7/15 |
| Grasse | 1.1 | 1.1 | 5 | 7/15 | 6/15 |
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