Vitré vs Fleury 91: result 2-2 and analysis
National 2 - Group DRegular Season - 21Kick-off on March 12, 2016 at 05:00 PM (UTC)Stade Municipal de Vitré, Vitré
Full time
What was the result of Vitré vs Fleury 91?
Vitré and Fleury 91 drew 2-2 on March 12, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vitré have 3 wins, 4 draws and 8 defeats; Fleury 91 have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2016 | Lorient II(away) | 0-2 | National 2 - Group D |
| Feb 27, 2016 | Romorantin(away) | 4-2 | National 2 - Group D |
| Feb 20, 2016 | Bordeaux II(home) | 1-0 | National 2 - Group D |
| Jan 30, 2016 | Stade Plabennec(home) | 1-1 | National 2 - Group D |
| Jan 23, 2016 | Vendée Fontenay(away) | 2-2 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 27, 2016 | St Malo US(home) | 1-2 | National 2 - Group D |
| Feb 20, 2016 | Bergerac(away) | 0-0 | National 2 - Group D |
| Feb 6, 2016 | Châteaubriant(away) | 0-4 | National 2 - Group D |
| Jan 9, 2016 | Concarneau(away) | 2-3 | National 2 - Group D |
| Dec 19, 2015 | Trélissac(home) | 1-3 | National 2 - Group D |
What does the head-to-head say?
Across the last 1 meetings: 0 Vitré win(s), 0 draw(s), 1 Fleury 91 win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 3, 2015 | Fleury 91 2-1 Vitré | National 2 - Group D |
How many goals should we expect?
Vitré score 1.3 and concede 1.9 goals per match over their last 15; Fleury 91 score 1.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vitré | 1.3 | 1.9 | 1 | 10/15 | 8/15 |
| Fleury 91 | 1.4 | 1.2 | 5 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Fleury 91 | 26 | 13 | 7 | 6 | 44 | 21 | 46 |
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