Florenville vs Jeunesse Freylangeoise: result 0-4 and analysis
Provincial - LuxembourgLuxembourg - 10Kick-off on November 3, 2019 at 02:00 PM (UTC)Stade Georges Blaise, Florenville
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What was the result of Florenville vs Jeunesse Freylangeoise?
Jeunesse Freylangeoise won 0-4 on November 3, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Florenville have 4 wins, 2 draws and 4 defeats; Jeunesse Freylangeoise have 3, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Vaux-Noville(away) | 5-3 | Provincial - Luxembourg |
| Oct 20, 2019 | Sartoise(home) | 0-1 | Provincial - Luxembourg |
| Oct 12, 2019 | Saint-Hubert(away) | 1-5 | Provincial - Luxembourg |
| Oct 6, 2019 | Nassogne(away) | 2-0 | Provincial - Luxembourg |
| Sep 29, 2019 | Saint-Louis-Saint-Léger(home) | 3-1 | Provincial - Luxembourg |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2019 | Nassogne(home) | 0-0 | Provincial - Luxembourg |
| Oct 20, 2019 | Saint-Louis-Saint-Léger(away) | 3-1 | Provincial - Luxembourg |
| Oct 11, 2019 | Lorraine Arlon(home) | 0-1 | Provincial - Luxembourg |
| Oct 5, 2019 | Libramont(away) | 3-2 | Provincial - Luxembourg |
| Sep 28, 2019 | La Roche(home) | 5-0 | Provincial - Luxembourg |
How many goals should we expect?
Florenville score 1.7 and concede 2.0 goals per match over their last 10; Jeunesse Freylangeoise score 1.7 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Florenville | 1.7 | 2.0 | 2 | 6/10 | 7/10 |
| Jeunesse Freylangeoise | 1.7 | 1.6 | 3 | 5/9 | 6/9 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Florenville | 30 | 11 | 5 | 14 | 57 | 50 | 38 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy