Valence vs PAU: result 3-1 and analysis
National 2 - Group CRegular Season - 29Kick-off on April 20, 2013 at 05:00 PM (UTC)Stade Georges-Pompidou, Valence
Full time
What was the result of Valence vs PAU?
Valence won 3-1 on April 20, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Valence have 2 wins, 9 draws and 4 defeats; PAU 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 13, 2013 | Mont-de-Marsan(away) | 0-1 | National 2 - Group C |
| Apr 6, 2013 | Marignane US(home) | 1-1 | National 2 - Group C |
| Mar 30, 2013 | Martigues(away) | 0-4 | National 2 - Group C |
| Mar 23, 2013 | Bayonne(home) | 2-0 | National 2 - Group C |
| Mar 20, 2013 | Saint-Étienne II(away) | 0-0 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2013 | Cannes(home) | 1-1 | National 2 - Group C |
| Apr 6, 2013 | Olympique Lyonnais II(away) | 0-2 | National 2 - Group C |
| Mar 30, 2013 | Hyères(home) | 2-2 | National 2 - Group C |
| Mar 23, 2013 | Tarbes(away) | 1-3 | National 2 - Group C |
| Mar 16, 2013 | Albi(home) | 2-0 | National 2 - Group C |
What does the head-to-head say?
In the last meeting: 0 Valence wins, 1 draw, 0 PAU wins.
| Date | Score | Competition |
|---|---|---|
| Dec 2, 2012 | PAU 1-1 Valence | National 2 - Group C |
How many goals should we expect?
Valence score 0.8 and concede 1.3 goals per match over their last 15; PAU score 1.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Valence | 0.8 | 1.3 | 4 | 8/15 | 4/15 |
| PAU | 1.0 | 1.5 | 5 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Valence vs PAU?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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