Laval vs PAU: result 2-0 and analysis
Ligue 3Regular Season - 8Kick-off on September 22, 2017 at 06:00 PM (UTC)Stade Francis Le Basser, Laval
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What was the result of Laval vs PAU?
Laval won 2-0 on September 22, 2017.
Goalscorers
- 8′D. MayelaLaval
- 80′Kevin MalagaLaval (o.g.)
Official lineup for Laval vs PAU
The starting elevens fielded at kick-off.
Laval
- 9A. Bosetti
- 23D. Mayela
- 6D. Dabo
- 8César Zeoula Ngalo-Manuotalaha
- 19Y. Neyou
- 20D. Pandor
- 2K. Perrot
- 5B. Dembélé
- 15A. Ba
- 17Houboulang Mendes
- 1M. Hautbois
PAU
- 9A. Boupendza
- 11J. Rivas
- 18A. Ciss
- 6Q. Daubin
- 7Abdelkader Kraichi
- 10A. Sanchez
- 21P. Maisonneuve
- 5F. Aigouy
- 20J. Crillon
- 24Kevin Malaga
- 30I. Koné
What is the recent form of both teams?
Over their last 15 matches in all competitions, Laval have 4 wins, 4 draws and 7 defeats; PAU have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2017 | RED Star FC 93(away) | 1-1 | Ligue 3 |
| Sep 8, 2017 | Creteil(home) | 2-0 | Ligue 3 |
| Sep 2, 2017 | Dunkerque(away) | 1-1 | Ligue 3 |
| Aug 25, 2017 | Boulogne(home) | 1-0 | Ligue 3 |
| Aug 18, 2017 | Rodez(away) | 0-1 | Ligue 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2017 | Grenoble(home) | 0-0 | Ligue 3 |
| Sep 1, 2017 | Avranches(home) | 2-0 | Ligue 3 |
| Aug 25, 2017 | Athletico Marseille(away) | 1-1 | Ligue 3 |
| Aug 17, 2017 | Cholet(home) | 1-4 | Ligue 3 |
| Aug 11, 2017 | Lyon Duchere(away) | 1-2 | Ligue 3 |
How many goals should we expect?
Laval score 1.1 and concede 1.4 goals per match over their last 15; PAU score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Laval | 1.1 | 1.4 | 3 | 8/15 | 5/15 |
| PAU | 0.9 | 1.1 | 5 | 7/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Laval vs PAU?
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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