Luçon vs Viry Châtillon: result 3-2 and analysis
National 2 - Group DRegular Season - 33Kick-off on May 26, 2012 at 04:00 PM (UTC)Stade Jean de Mouzon, Luçon
Full time
What was the result of Luçon vs Viry Châtillon?
Luçon won 3-2 on May 26, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Luçon have 9 wins, 3 draws and 3 defeats; Viry Châtillon have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2012 | Stade Plabennec(away) | 1-1 | National 2 - Group D |
| May 12, 2012 | Concarneau(home) | 4-3 | National 2 - Group D |
| May 4, 2012 | Avranches(away) | 0-1 | National 2 - Group D |
| Apr 28, 2012 | La Vitréenne(home) | 6-2 | National 2 - Group D |
| Apr 21, 2012 | Pontivy GSI(away) | 2-0 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2012 | Saumur(home) | 1-0 | National 2 - Group D |
| May 12, 2012 | Stade Plabennec(home) | 2-2 | National 2 - Group D |
| May 6, 2012 | Concarneau(away) | 1-4 | National 2 - Group D |
| Apr 28, 2012 | Avranches(home) | 2-2 | National 2 - Group D |
| Apr 21, 2012 | La Vitréenne(away) | 4-0 | National 2 - Group D |
What does the head-to-head say?
In the last meeting: 0 Luçon wins, 1 draw, 0 Viry Châtillon wins.
| Date | Score | Competition |
|---|---|---|
| Feb 22, 2012 | Viry Châtillon 1-1 Luçon | National 2 - Group D |
Last archived meeting: Viry Châtillon vs Luçon on Feb 22, 2012
How many goals should we expect?
Luçon score 2.0 and concede 1.4 goals per match over their last 15; Viry Châtillon score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Luçon | 2.0 | 1.4 | 6 | 7/15 | 7/15 |
| Viry Châtillon | 1.1 | 1.4 | 5 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Luçon vs Viry Châtillon?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy