Schiltigheim vs Fleury 91: result 2-2 and analysis
National 2 - Group DRegular Season - 5Kick-off on September 8, 2018 at 04:00 PM (UTC)Stade de l'Aar, Schiltigheim
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What was the result of Schiltigheim vs Fleury 91?
Schiltigheim and Fleury 91 drew 2-2 on September 8, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Schiltigheim have 9 wins, 4 draws and 2 defeats; Fleury 91 have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2018 | Haguenau(away) | 1-0 | National 2 - Group D |
| Aug 24, 2018 | Lille II(home) | 1-1 | National 2 - Group D |
| Aug 18, 2018 | St Maur Lusitanos(away) | 1-1 | National 2 - Group D |
| Aug 11, 2018 | Feignies-Aulnoye(home) | 1-1 | National 2 - Group D |
| May 19, 2018 | Villefranche(away) | 1-4 | National 2 - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2018 | Epinal(home) | 2-2 | National 2 - Group D |
| Aug 25, 2018 | Creteil(away) | 0-1 | National 2 - Group D |
| Aug 18, 2018 | Bobigny(home) | 1-0 | National 2 - Group D |
| Aug 11, 2018 | Arras(away) | 2-1 | National 2 - Group D |
| May 19, 2018 | Croix Football IC(home) | 3-1 | National 2 - Group C |
How many goals should we expect?
Schiltigheim score 1.9 and concede 0.9 goals per match over their last 15; Fleury 91 score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Schiltigheim | 1.9 | 0.9 | 6 | 9/15 | 7/15 |
| Fleury 91 | 1.5 | 1.1 | 4 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Fleury 91 | 26 | 13 | 7 | 6 | 44 | 21 | 46 |
A question about Schiltigheim vs Fleury 91?
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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