Romorantin vs Fleury 91: result 0-0 and analysis
National 2 - Group DRegular Season - 10Kick-off on November 7, 2015 at 05:00 PM (UTC)Stade Jules Ladoumègue
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What was the result of Romorantin vs Fleury 91?
Romorantin and Fleury 91 drew 0-0 on November 7, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Romorantin have 6 wins, 4 draws and 5 defeats; Fleury 91 have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2015 | Lorient II(away) | 0-2 | National 2 - Group D |
| Oct 17, 2015 | Bordeaux II(home) | 1-0 | National 2 - Group D |
| Oct 3, 2015 | Cholet(home) | 1-1 | National 2 - Group D |
| Sep 19, 2015 | Stade Plabennec(away) | 2-1 | National 2 - Group D |
| Sep 12, 2015 | Vendée Fontenay(home) | 1-0 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2015 | Stade Plabennec(home) | 1-1 | National 2 - Group D |
| Oct 17, 2015 | Vendée Fontenay(away) | 1-1 | National 2 - Group D |
| Oct 3, 2015 | Vitré(home) | 2-1 | National 2 - Group D |
| Sep 19, 2015 | Viry Châtillon(away) | 4-1 | National 2 - Group D |
| Sep 12, 2015 | Bergerac(home) | 1-1 | National 2 - Group D |
How many goals should we expect?
Romorantin score 0.8 and concede 0.9 goals per match over their last 15; Fleury 91 score 1.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Romorantin | 0.8 | 0.9 | 5 | 5/15 | 3/15 |
| Fleury 91 | 1.1 | 0.7 | 7 | 6/15 | 2/15 |
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 Romorantin 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