Feignies-Aulnoye vs Epinal: result 2-3 and analysis
National 2 - Group DRegular Season - 15Kick-off on December 19, 2018 at 05:00 PM (UTC)Stade Didier Eloy, Feignies
Full time
What was the result of Feignies-Aulnoye vs Epinal?
Epinal won 2-3 on December 19, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Feignies-Aulnoye have 3 wins, 5 draws and 7 defeats; Epinal have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 15, 2018 | Creteil(away) | 0-2 | National 2 - Group D |
| Dec 1, 2018 | Bobigny(home) | 4-1 | National 2 - Group D |
| Nov 24, 2018 | Arras(away) | 1-1 | National 2 - Group D |
| Nov 10, 2018 | Reims II(home) | 1-0 | National 2 - Group D |
| Nov 3, 2018 | Fleury 91(away) | 2-2 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 9, 2018 | Olympique Strasbourg(away) | 0-1 | Coupe de France |
| Dec 1, 2018 | Sedan(away) | 1-0 | National 2 - Group D |
| Nov 24, 2018 | Belfort(home) | 0-2 | National 2 - Group D |
| Nov 16, 2018 | Golden Lion(away) | 4-2 | Coupe de France |
| Nov 10, 2018 | Sainte Geneviève(away) | 0-2 | National 2 - Group D |
How many goals should we expect?
Feignies-Aulnoye score 1.0 and concede 1.4 goals per match over their last 15; Epinal score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Feignies-Aulnoye | 1.0 | 1.4 | 2 | 8/15 | 6/15 |
| Epinal | 1.1 | 1.0 | 5 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Feignies-Aulnoye | 26 | 9 | 7 | 10 | 28 | 32 | 34 |
A question about Feignies-Aulnoye vs Epinal?
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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