Paulhan Pézenas vs Hyères: result 0-3 and analysis
National 2 - Group DRegular Season - 21Kick-off on March 4, 2017 at 05:00 PM (UTC)Stade Municipal, Pézénas
Full time
What was the result of Paulhan Pézenas vs Hyères?
Hyères won 0-3 on March 4, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paulhan Pézenas have 3 wins, 5 draws and 7 defeats; Hyères have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 18, 2017 | Martigues(away) | 0-0 | National 2 - Group D |
| Feb 11, 2017 | Monaco II(home) | 0-0 | National 2 - Group D |
| Feb 4, 2017 | Olympique Marseille II(away) | 2-0 | National 2 - Group D |
| Jan 21, 2017 | Nice II(home) | 1-1 | National 2 - Group D |
| Jan 14, 2017 | Sète(away) | 1-2 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 18, 2017 | Fréjus St-Raphaël(home) | 0-0 | National 2 - Group D |
| Feb 11, 2017 | Martigues(home) | 4-1 | National 2 - Group D |
| Feb 4, 2017 | Monaco II(away) | 3-0 | National 2 - Group D |
| Jan 21, 2017 | Olympique Marseille II(home) | 0-0 | National 2 - Group D |
| Jan 14, 2017 | Nice II(away) | 1-0 | National 2 - Group D |
What does the head-to-head say?
In the last meeting: 0 Paulhan Pézenas wins, 0 draws, 1 Hyères win.
| Date | Score | Competition |
|---|---|---|
| Oct 1, 2016 | Hyères 1-0 Paulhan Pézenas | National 2 - Group D |
Last archived meeting: Hyères vs Paulhan Pézenas on Oct 1, 2016
How many goals should we expect?
Paulhan Pézenas score 0.9 and concede 0.9 goals per match over their last 15; Hyères score 1.2 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paulhan Pézenas | 0.9 | 0.9 | 6 | 5/15 | 4/15 |
| Hyères | 1.2 | 0.5 | 9 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Paulhan Pézenas vs Hyères?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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