Jura Sud Foot vs Grasse: result 1-1 and analysis
National 2 - Group ARegular Season - 16Kick-off on January 26, 2019 at 03:00 PM (UTC)Stade Edouard Guillon Annexe 1, Molinges
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What was the result of Jura Sud Foot vs Grasse?
Jura Sud Foot and Grasse drew 1-1 on January 26, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jura Sud Foot have 7 wins, 5 draws and 3 defeats; Grasse have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 19, 2019 | Martigues(away) | 0-1 | National 2 - Group A |
| Dec 22, 2018 | Saint-Priest(away) | 7-2 | National 2 - Group A |
| Dec 15, 2018 | Toulon(home) | 1-0 | National 2 - Group A |
| Dec 1, 2018 | Athletico Marseille(away) | 2-2 | National 2 - Group A |
| Nov 24, 2018 | Fréjus St-Raphaël(home) | 1-0 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 19, 2019 | Monaco II(home) | 0-0 | National 2 - Group A |
| Dec 22, 2018 | Annecy(home) | 0-2 | National 2 - Group A |
| Dec 15, 2018 | Nice II(away) | 1-1 | National 2 - Group A |
| Dec 1, 2018 | Martigues(home) | 2-2 | National 2 - Group A |
| Nov 24, 2018 | Olympique Marseille II(away) | 0-1 | National 2 - Group A |
What does the head-to-head say?
Across the last 1 meetings: 0 Jura Sud Foot win(s), 0 draw(s), 1 Grasse win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 18, 2018 | Grasse 2-0 Jura Sud Foot | National 2 - Group A |
Last archived meeting: Grasse vs Jura Sud Foot on Aug 18, 2018
How many goals should we expect?
Jura Sud Foot score 1.7 and concede 0.9 goals per match over their last 15; Grasse score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jura Sud Foot | 1.7 | 0.9 | 6 | 6/15 | 6/15 |
| Grasse | 1.1 | 1.0 | 5 | 6/15 | 4/15 |
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