Vaux-Noville vs Jeunesse Freylangeoise: result 0-2 and analysis
Provincial - LuxembourgLuxembourg - 12Kick-off on November 17, 2019 at 01:30 PM (UTC)Complexe ES Vaux, Bastogne
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What was the result of Vaux-Noville vs Jeunesse Freylangeoise?
Jeunesse Freylangeoise won 0-2 on November 17, 2019.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Vaux-Noville have 7 wins, 0 draws and 5 defeats; Jeunesse Freylangeoise have 4, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2019 | Saint-Hubert(away) | 0-3 | Provincial - Luxembourg |
| Nov 2, 2019 | Sartoise(away) | 1-0 | Provincial - Luxembourg |
| Oct 27, 2019 | Florenville(home) | 3-5 | Provincial - Luxembourg |
| Oct 20, 2019 | Nassogne(away) | 4-0 | Provincial - Luxembourg |
| Oct 13, 2019 | Saint-Louis-Saint-Léger(home) | 1-0 | Provincial - Luxembourg |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2019 | Sartoise(home) | 0-0 | Provincial - Luxembourg |
| Nov 3, 2019 | Florenville(away) | 4-0 | Provincial - Luxembourg |
| 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 |
How many goals should we expect?
Vaux-Noville score 1.6 and concede 1.4 goals per match over their last 12; Jeunesse Freylangeoise score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vaux-Noville | 1.6 | 1.4 | 5 | 5/12 | 7/12 |
| Jeunesse Freylangeoise | 1.7 | 1.3 | 5 | 5/11 | 7/11 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Vaux-Noville | 30 | 14 | 3 | 13 | 67 | 64 | 45 |
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