Jura Sud Foot vs Monaco II: result 1-0 and analysis
National 2 - Group DGroup D - 9Kick-off on October 19, 2019 at 04:00 PM (UTC)Stade Edouard Guillon Annexe 1, Molinges
Full time
What was the result of Jura Sud Foot vs Monaco II?
Jura Sud Foot won 1-0 on October 19, 2019.
Goalscorers
- 42′S. CucuJura Sud Foot
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jura Sud Foot have 4 wins, 5 draws and 6 defeats; Monaco II have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Nîmes II(away) | 2-2 | National 2 - Group D |
| Sep 21, 2019 | Annecy(home) | 0-0 | National 2 - Group D |
| Sep 14, 2019 | Hyères(away) | 0-2 | National 2 - Group D |
| Sep 7, 2019 | Olympique Marseille II(home) | 1-2 | National 2 - Group D |
| Aug 31, 2019 | Olympique Lyonnais II(away) | 0-3 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Marseille Endoume(home) | 2-2 | National 2 - Group D |
| Sep 21, 2019 | Marignane(home) | 1-0 | National 2 - Group D |
| Sep 14, 2019 | Nîmes II(away) | 2-1 | National 2 - Group D |
| Sep 7, 2019 | Annecy(home) | 0-1 | National 2 - Group D |
| Aug 31, 2019 | Hyères(away) | 0-2 | National 2 - Group D |
What does the head-to-head say?
Across the last 2 meetings: 1 Jura Sud Foot win(s), 0 draw(s), 1 Monaco II win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 16, 2019 | Monaco II 0-1 Jura Sud Foot | National 2 - Group A |
| Oct 6, 2018 | Jura Sud Foot 0-3 Monaco II | National 2 - Group A |
Last archived meeting: Monaco II vs Jura Sud Foot on Mar 16, 2019
How many goals should we expect?
Jura Sud Foot score 1.3 and concede 1.8 goals per match over their last 15; Monaco II score 1.8 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jura Sud Foot | 1.3 | 1.8 | 4 | 9/15 | 9/15 |
| Monaco II | 1.8 | 2.1 | 3 | 9/15 | 10/15 |
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