Vitré vs Viry Châtillon: result 2-1 and analysis
National 2 - Group DRegular Season - 29Kick-off on May 28, 2016 at 04:00 PM (UTC)Stade de la Piverdière, Rennes
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What was the result of Vitré vs Viry Châtillon?
Vitré won 2-1 on May 28, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vitré have 4 wins, 5 draws and 6 defeats; Viry Châtillon have 4, 8 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | Bergerac(away) | 0-1 | National 2 - Group D |
| May 7, 2016 | Stade Bordelais(home) | 2-1 | National 2 - Group D |
| Apr 30, 2016 | Châteaubriant(away) | 0-1 | National 2 - Group D |
| Apr 16, 2016 | St Malo US(home) | 0-0 | National 2 - Group D |
| Apr 9, 2016 | Nantes II(away) | 1-3 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | Cholet(home) | 1-0 | National 2 - Group D |
| May 7, 2016 | Bergerac(home) | 0-1 | National 2 - Group D |
| Apr 30, 2016 | Stade Bordelais(away) | 1-1 | National 2 - Group D |
| Apr 16, 2016 | Châteaubriant(home) | 3-1 | National 2 - Group D |
| Apr 13, 2016 | Fleury 91(away) | 0-0 | National 2 - Group D |
What does the head-to-head say?
Across the last 2 meetings: 0 Vitré win(s), 1 draw(s), 1 Viry Châtillon win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 16, 2016 | Viry Châtillon 1-0 Vitré | National 2 - Group D |
| Aug 24, 2013 | Viry Châtillon 0-0 Vitré | National 2 - Group D |
Last archived meeting: Viry Châtillon vs Vitré on Jan 16, 2016
How many goals should we expect?
Vitré score 1.1 and concede 1.3 goals per match over their last 15; Viry Châtillon score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vitré | 1.1 | 1.3 | 4 | 7/15 | 6/15 |
| Viry Châtillon | 1.0 | 1.0 | 6 | 8/15 | 5/15 |
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