Tarbes vs Paulhan Pézenas: result 0-1 and analysis
National 2 - Group DRegular Season - 1Kick-off on August 13, 2016 at 04:00 PM (UTC)Stade Maurice Trélut 2 - Terrain B, Tarbes
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What was the result of Tarbes vs Paulhan Pézenas?
Paulhan Pézenas won 0-1 on August 13, 2016.
Goalscorers
- 19′Mickaël LabordePaulhan Pézenas
Official lineup for Tarbes vs Paulhan Pézenas
The starting elevens fielded at kick-off.
Tarbes
- 9A. Thiam
- 10Didier Bouanga
- 5C. Fabien
- 6M. Cato
- 7T. Lemaître
- 8Hery Randriantsara
- 2Kévin Remanaho
- 3M. Mouret
- 4E. Loumingou
- 11Bala Diakhaby
- 1T. Navaux
Paulhan Pézenas
- 6Mohamed Camara
- 7S. Taillan
- 9Julien Poueys
- 8Romain Choplin
- 10Stéphane Lalaoui
- 11J. Henry
- 2T. Bensaid
- 3Mickaël Nelson
- 4Y. Bileck
- 5Mickaël Laborde
- 1Remy Veziat
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tarbes have 6 wins, 3 draws and 6 defeats; Paulhan Pézenas have 0, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2016 | Nice II(away) | 0-3 | National 2 - Group C |
| May 28, 2016 | Hyères(home) | 1-0 | National 2 - Group C |
| May 14, 2016 | Colomiers(away) | 1-2 | National 2 - Group C |
| May 7, 2016 | Rodez(home) | 1-0 | National 2 - Group C |
| Apr 16, 2016 | Marignane US(home) | 2-0 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 7, 2014 | Grenoble(home) | 1-2 | Coupe de France |
| Nov 16, 2014 | Rodéo(away) | 0-0 | Coupe de France |
How many goals should we expect?
Tarbes score 0.9 and concede 1.1 goals per match over their last 15; Paulhan Pézenas score 0.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tarbes | 0.9 | 1.1 | 6 | 5/15 | 5/15 |
| Paulhan Pézenas | 0.5 | 1.0 | 1 | 1/2 | 1/2 |
Over the last 15 matches in all competitions.
A question about Tarbes vs Paulhan Pézenas?
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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