Sartoise vs Lorraine Arlon: result 0-2 and analysis
Provincial - LuxembourgLuxembourg - 5Kick-off on September 28, 2019 at 06:00 PM (UTC)Stade Fernand Brasseur, Lierneux
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What was the result of Sartoise vs Lorraine Arlon?
Lorraine Arlon won 0-2 on September 28, 2019.
What is the recent form of both teams?
Over their last 4 matches in all competitions, Sartoise have 1 win, 0 draws and 3 defeats; Lorraine Arlon have 2, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2019 | Libramont(away) | 0-1 | Provincial - Luxembourg |
| Sep 14, 2019 | La Roche(home) | 2-3 | Provincial - Luxembourg |
| Sep 8, 2019 | Gouvy(away) | 0-2 | Provincial - Luxembourg |
| Aug 31, 2019 | Chaumont(home) | 3-1 | Provincial - Luxembourg |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2019 | Florenville(home) | 2-2 | Provincial - Luxembourg |
| Sep 15, 2019 | Nassogne(away) | 3-0 | Provincial - Luxembourg |
| Sep 7, 2019 | Saint-Louis-Saint-Léger(home) | 6-0 | Provincial - Luxembourg |
| Aug 31, 2019 | Saint-Hubert(away) | 1-3 | Provincial - Luxembourg |
How many goals should we expect?
Sartoise score 1.3 and concede 1.8 goals per match over their last 4; Lorraine Arlon score 3.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sartoise | 1.3 | 1.8 | 0 | 2/4 | 2/4 |
| Lorraine Arlon | 3.0 | 1.3 | 2 | 2/4 | 4/4 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
Sartoise sit 12th in Provincial - Luxembourg (31 points from 30 matches) and Lorraine Arlon sit 14th (29 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Sartoise | 30 | 8 | 7 | 15 | 35 | 49 | 31 |
| 14 | Lorraine Arlon | 30 | 7 | 8 | 15 | 49 | 63 | 29 |
A question about Sartoise vs Lorraine Arlon?
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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