Marignane vs Paulhan Pézenas: result 4-3 and analysis
National 2 - Group DRegular Season - 27Kick-off on April 22, 2017 at 04:00 PM (UTC)Stade Antoine de Saint-Exupéry, Marignane
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What was the result of Marignane vs Paulhan Pézenas?
Marignane won 4-3 on April 22, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Marignane have 5 wins, 6 draws and 4 defeats; Paulhan Pézenas have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2017 | Hyères(away) | 0-2 | National 2 - Group D |
| Apr 8, 2017 | Martigues(home) | 0-1 | National 2 - Group D |
| Mar 25, 2017 | Monaco II(away) | 3-4 | National 2 - Group D |
| Mar 18, 2017 | Olympique Marseille II(home) | 1-1 | National 2 - Group D |
| Mar 11, 2017 | Nice II(away) | 2-2 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2017 | Montpellier II(home) | 2-0 | National 2 - Group D |
| 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 |
What does the head-to-head say?
Across the last 1 meetings: 1 Marignane win(s), 0 draw(s), 0 Paulhan Pézenas win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 10, 2016 | Paulhan Pézenas 0-1 Marignane | National 2 - Group D |
Last archived meeting: Paulhan Pézenas vs Marignane on Dec 10, 2016
How many goals should we expect?
Marignane score 1.5 and concede 1.1 goals per match over their last 15; Paulhan Pézenas score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Marignane | 1.5 | 1.1 | 6 | 7/15 | 7/15 |
| Paulhan Pézenas | 0.9 | 0.9 | 7 | 4/15 | 4/15 |
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