Quevilly vs Niort: result 0-2 and analysis
Ligue 3Regular Season - 36Kick-off on May 11, 2012 at 06:00 PM (UTC)Stade Robert Diochon, Le Petit-Quevilly
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What was the result of Quevilly vs Niort?
Niort won 0-2 on May 11, 2012.
Goalscorers
- 72′J. GastienNiort
- 85′Mouhamadou DiawNiort
What is the recent form of both teams?
Over their last 15 matches in all competitions, Quevilly have 6 wins, 4 draws and 5 defeats; Niort have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2012 | Paris FC(home) | 2-2 | Ligue 3 |
| May 3, 2012 | Epinal(away) | 1-0 | Ligue 3 |
| Apr 28, 2012 | Lyon(away) | 0-1 | Coupe de France |
| Apr 20, 2012 | Cherbourg(away) | 2-1 | Ligue 3 |
| Apr 14, 2012 | Martigues(home) | 1-1 | Ligue 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2012 | Orleans(home) | 0-1 | Ligue 3 |
| Apr 27, 2012 | Bayonne(away) | 1-1 | Ligue 3 |
| Apr 21, 2012 | Besançon(away) | 1-1 | Ligue 3 |
| Apr 17, 2012 | Rouen(home) | 3-0 | Ligue 3 |
| Apr 13, 2012 | Epinal(home) | 0-0 | Ligue 3 |
What does the head-to-head say?
In the last meeting: 0 Quevilly wins, 0 draws, 1 Niort win.
| Date | Score | Competition |
|---|---|---|
| Dec 16, 2011 | Niort 2-0 Quevilly | Ligue 3 |
How many goals should we expect?
Quevilly score 1.2 and concede 1.3 goals per match over their last 15; Niort score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Quevilly | 1.2 | 1.3 | 2 | 8/15 | 7/15 |
| Niort | 0.9 | 0.7 | 6 | 6/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Quevilly | 9 | 2 | 4 | 3 | 8 | 12 | 10 |
A question about Quevilly vs Niort?
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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