Paulhan Pézenas vs Montpellier II: result 2-0 and analysis
National 2 - Group DRegular Season - 26Kick-off on April 15, 2017 at 04:00 PM (UTC)Stade Municipal, Pézénas
Full time
What was the result of Paulhan Pézenas vs Montpellier II?
Paulhan Pézenas won 2-0 on April 15, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paulhan Pézenas have 3 wins, 6 draws and 6 defeats; Montpellier II have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Le Pontet US(away) | 1-1 | National 2 - Group D |
| Apr 1, 2017 | Stade Montois(home) | 1-0 | National 2 - Group D |
| Mar 18, 2017 | Rodez(away) | 0-3 | National 2 - Group D |
| Mar 11, 2017 | Fréjus St-Raphaël(home) | 0-2 | National 2 - Group D |
| Mar 4, 2017 | Hyères(home) | 0-3 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Hyères(home) | 1-1 | National 2 - Group D |
| Apr 1, 2017 | Martigues(away) | 1-2 | National 2 - Group D |
| Mar 18, 2017 | Monaco II(home) | 2-2 | National 2 - Group D |
| Mar 11, 2017 | Olympique Marseille II(away) | 1-2 | National 2 - Group D |
| Mar 4, 2017 | Nice II(home) | 3-2 | National 2 - Group D |
What does the head-to-head say?
Across the last 1 meetings: 0 Paulhan Pézenas win(s), 1 draw(s), 0 Montpellier II win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 26, 2016 | Montpellier II 1-1 Paulhan Pézenas | National 2 - Group D |
Last archived meeting: Montpellier II vs Paulhan Pézenas on Nov 26, 2016
How many goals should we expect?
Paulhan Pézenas score 0.7 and concede 1.0 goals per match over their last 15; Montpellier II score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paulhan Pézenas | 0.7 | 1.0 | 6 | 4/15 | 4/15 |
| Montpellier II | 0.9 | 1.5 | 2 | 9/15 | 8/15 |
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