Vitré vs Romorantin: result 0-2 and analysis
National 2 - Group ARegular Season - 19Kick-off on February 11, 2017 at 05:00 PM (UTC)Stade Municipal de Vitré, Vitré
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What was the result of Vitré vs Romorantin?
Romorantin won 0-2 on February 11, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vitré have 5 wins, 4 draws and 6 defeats; Romorantin have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2017 | Cholet(away) | 1-2 | National 2 - Group A |
| Jan 28, 2017 | Mantes 78(home) | 2-0 | National 2 - Group A |
| Jan 14, 2017 | PSG II(away) | 0-3 | National 2 - Group A |
| Dec 17, 2016 | Bergerac(away) | 0-2 | National 2 - Group A |
| Dec 10, 2016 | Nantes II(home) | 2-2 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2017 | Rennes II(home) | 0-2 | National 2 - Group A |
| Jan 14, 2017 | Trélissac(home) | 2-0 | National 2 - Group A |
| Dec 17, 2016 | Cholet(away) | 2-0 | National 2 - Group A |
| Dec 10, 2016 | Mantes 78(home) | 3-0 | National 2 - Group A |
| Dec 3, 2016 | Vendée Fontenay(away) | 0-3 | National 2 - Group A |
What does the head-to-head say?
Across the last 5 meetings: 3 Vitré win(s), 0 draw(s), 2 Romorantin win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2016 | Romorantin 1-2 Vitré | National 2 - Group A |
| Feb 27, 2016 | Romorantin 2-4 Vitré | National 2 - Group D |
| Sep 5, 2015 | Vitré 1-3 Romorantin | National 2 - Group D |
| Feb 22, 2014 | Vitré 2-1 Romorantin | National 2 - Group D |
| Sep 21, 2013 | Romorantin 1-0 Vitré | National 2 - Group D |
How many goals should we expect?
Vitré score 1.0 and concede 1.2 goals per match over their last 15; Romorantin score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vitré | 1.0 | 1.2 | 4 | 7/15 | 5/15 |
| Romorantin | 1.1 | 1.4 | 5 | 5/15 | 7/15 |
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