Bergerac vs Paulhan Pézenas: result 1-1 and analysis
National 2 - Group ARegular Season - 17Kick-off on January 20, 2018 at 05:30 PM (UTC)Stade de Campréal, Bergerac
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What was the result of Bergerac vs Paulhan Pézenas?
Bergerac and Paulhan Pézenas drew 1-1 on January 20, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bergerac have 7 wins, 4 draws and 4 defeats; Paulhan Pézenas have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 13, 2018 | Fréjus St-Raphaël(home) | 1-1 | National 2 - Group A |
| Dec 20, 2017 | Marignane(home) | 2-0 | National 2 - Group A |
| Dec 16, 2017 | Monaco II(away) | 1-0 | National 2 - Group A |
| Dec 9, 2017 | Sète(home) | 1-1 | National 2 - Group A |
| Dec 2, 2017 | Sud Nivernais(away) | 0-3 | Coupe de France |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 13, 2018 | Colomiers(away) | 0-1 | National 2 - Group A |
| Dec 16, 2017 | Sète(away) | 0-1 | National 2 - Group A |
| Dec 9, 2017 | Toulon(home) | 0-2 | National 2 - Group A |
| Dec 2, 2017 | Monaco II(home) | 2-1 | National 2 - Group A |
| Nov 25, 2017 | Olympique Marseille II(away) | 0-0 | National 2 - Group A |
What does the head-to-head say?
In the last meeting: 1 Bergerac win, 0 draws, 0 Paulhan Pézenas wins.
| Date | Score | Competition |
|---|---|---|
| Aug 26, 2017 | Paulhan Pézenas 0-2 Bergerac | National 2 - Group A |
Last archived meeting: Paulhan Pézenas vs Bergerac on Aug 26, 2017
How many goals should we expect?
Bergerac score 1.6 and concede 0.9 goals per match over their last 15; Paulhan Pézenas score 0.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bergerac | 1.6 | 0.9 | 6 | 6/15 | 5/15 |
| Paulhan Pézenas | 0.6 | 1.1 | 5 | 3/15 | 3/15 |
Over the last 15 matches in all competitions.
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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