Lorraine Arlon vs Bastogne: result 3-3 and analysis
Provincial - LuxembourgLuxembourg - 12Kick-off on November 14, 2021 at 01:30 PM (UTC)Stade du FC Jeunesse Lorraine Arlonaise, Arlon
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What was the result of Lorraine Arlon vs Bastogne?
Lorraine Arlon and Bastogne drew 3-3 on November 14, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lorraine Arlon have 8 wins, 4 draws and 3 defeats; Bastogne have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2021 | Ethe Belmont(away) | 2-1 | Provincial - Luxembourg |
| Oct 23, 2021 | Jeunesse Freylangeoise(away) | 2-2 | Provincial - Luxembourg |
| Oct 17, 2021 | Sartoise(home) | 5-1 | Provincial - Luxembourg |
| Oct 9, 2021 | Longlier(away) | 1-1 | Provincial - Luxembourg |
| Oct 3, 2021 | Vaux-Noville(home) | 5-1 | Provincial - Luxembourg |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2021 | La Roche(home) | 0-2 | Provincial - Luxembourg |
| Oct 31, 2021 | Florenville(away) | 1-2 | Provincial - Luxembourg |
| Oct 22, 2021 | Libramont(home) | 1-8 | Provincial - Luxembourg |
| Oct 16, 2021 | Aubange(home) | 1-4 | Provincial - Luxembourg |
| Oct 10, 2021 | Ethe Belmont(away) | 1-1 | Provincial - Luxembourg |
How many goals should we expect?
Lorraine Arlon score 2.5 and concede 1.3 goals per match over their last 15; Bastogne score 1.2 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lorraine Arlon | 2.5 | 1.3 | 5 | 9/15 | 10/15 |
| Bastogne | 1.2 | 2.6 | 2 | 11/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Lorraine Arlon | 30 | 7 | 8 | 15 | 49 | 63 | 29 |
A question about Lorraine Arlon vs Bastogne?
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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