Les Herbiers vs Quevilly: result 1-2 and analysis
Ligue 3Regular Season - 6Kick-off on September 9, 2016 at 06:00 PM (UTC)Stade Massabielle, Les Herbiers
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What was the result of Les Herbiers vs Quevilly?
Quevilly won 1-2 on September 9, 2016.
Goalscorers
- 2′M. GuezouiQuevilly (pen.)
- 39′C. TigroudjaLes Herbiers
- 90′J. GobronQuevilly
What is the recent form of both teams?
Over their last 15 matches in all competitions, Les Herbiers have 3 wins, 5 draws and 7 defeats; Quevilly have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2016 | Concarneau(home) | 3-1 | Ligue 3 |
| Aug 26, 2016 | Lyon Duchere(away) | 1-2 | Ligue 3 |
| Aug 19, 2016 | PAU(home) | 2-2 | Ligue 3 |
| Aug 12, 2016 | Epinal(away) | 1-1 | Ligue 3 |
| Aug 5, 2016 | Chateauroux(home) | 0-2 | Ligue 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2016 | Lyon Duchere(home) | 3-1 | Ligue 3 |
| Aug 25, 2016 | PAU(away) | 2-2 | Ligue 3 |
| Aug 19, 2016 | Epinal(home) | 1-1 | Ligue 3 |
| Aug 12, 2016 | Chateauroux(away) | 3-0 | Ligue 3 |
| Aug 5, 2016 | Chambly Thelle FC(home) | 0-1 | Ligue 3 |
How many goals should we expect?
Les Herbiers score 1.3 and concede 1.8 goals per match over their last 15; Quevilly score 2.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Les Herbiers | 1.3 | 1.8 | 1 | 9/15 | 10/15 |
| Quevilly | 2.1 | 0.7 | 7 | 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 |
|---|---|---|---|---|---|---|---|---|
| 13 | Quevilly | 9 | 2 | 4 | 3 | 8 | 12 | 10 |
A question about Les Herbiers vs Quevilly?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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