Laval vs Quevilly: result 1-1 and analysis
Ligue 3Regular Season - 5Kick-off on August 30, 2019 at 04:00 PM (UTC)Stade Francis Le Basser, Laval
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What was the result of Laval vs Quevilly?
Laval and Quevilly drew 1-1 on August 30, 2019.
Goalscorers
- 64′T. LebeauLaval
- 90′K. SansonQuevilly
What is the recent form of both teams?
Over their last 15 matches in all competitions, Laval have 7 wins, 4 draws and 4 defeats; Quevilly have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2019 | Lyon Duchere(away) | 1-2 | Ligue 3 |
| Aug 16, 2019 | Cholet(home) | 2-0 | Ligue 3 |
| Aug 9, 2019 | Boulogne(away) | 1-1 | Ligue 3 |
| Aug 2, 2019 | Le Puy Foot(home) | 1-0 | Ligue 3 |
| May 17, 2019 | Quevilly(away) | 3-4 | Ligue 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2019 | Villefranche(home) | 0-2 | Ligue 3 |
| Aug 16, 2019 | PAU(away) | 2-4 | Ligue 3 |
| Aug 9, 2019 | Dunkerque(home) | 1-3 | Ligue 3 |
| Aug 2, 2019 | Bourg-en-bresse 01(away) | 0-0 | Ligue 3 |
| Jul 26, 2019 | Bourg-en-bresse 01(away) | 0-1 | Coupe de la Ligue |
What does the head-to-head say?
Across the last 2 meetings: 0 Laval win(s), 1 draw(s), 1 Quevilly win(s).
| Date | Score | Competition |
|---|---|---|
| May 17, 2019 | Quevilly 4-3 Laval | Ligue 3 |
| Aug 3, 2018 | Laval 1-1 Quevilly | Ligue 3 |
How many goals should we expect?
Laval score 1.7 and concede 1.1 goals per match over their last 15; Quevilly score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Laval | 1.7 | 1.1 | 4 | 10/15 | 8/15 |
| Quevilly | 1.1 | 1.7 | 2 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 17 | Quevilly | 3 | 0 | 1 | 2 | 1 | 5 | 1 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy