Viry Châtillon vs Arras: result 2-2 and analysis
National 2 - Group BRegular Season - 30Kick-off on May 20, 2017 at 04:00 PM (UTC)Stade Henri Longuet, Viry-Châtillon
Full time
What was the result of Viry Châtillon vs Arras?
Viry Châtillon and Arras drew 2-2 on May 20, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viry Châtillon have 7 wins, 6 draws and 2 defeats; Arras have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2017 | St Maur Lusitanos(away) | 1-1 | National 2 - Group B |
| Apr 29, 2017 | Wasquehal(home) | 2-0 | National 2 - Group B |
| Apr 22, 2017 | Le Havre II(home) | 2-0 | National 2 - Group B |
| Apr 15, 2017 | Calais(away) | 3-1 | National 2 - Group B |
| Apr 8, 2017 | Dieppe(home) | 1-1 | National 2 - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2017 | Le Havre II(home) | 3-0 | National 2 - Group B |
| Apr 29, 2017 | Calais(away) | 4-2 | National 2 - Group B |
| Apr 22, 2017 | Dieppe(home) | 6-1 | National 2 - Group B |
| Apr 15, 2017 | Entente S St Gratien(away) | 0-3 | National 2 - Group B |
| Apr 8, 2017 | Fleury 91(home) | 1-2 | National 2 - Group B |
What does the head-to-head say?
Across the last 1 meetings: 0 Viry Châtillon win(s), 1 draw(s), 0 Arras win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 13, 2016 | Arras 0-0 Viry Châtillon | National 2 - Group B |
Last archived meeting: Arras vs Viry Châtillon on Aug 13, 2016
How many goals should we expect?
Viry Châtillon score 1.7 and concede 1.1 goals per match over their last 15; Arras score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viry Châtillon | 1.7 | 1.1 | 3 | 11/15 | 5/15 |
| Arras | 1.7 | 1.1 | 4 | 7/15 | 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