Quevilly vs Toulouse: result 0-0 and analysis
Ligue 2Regular Season - 15Kick-off on November 6, 2021 at 06:00 PM (UTC)Stade Robert Diochon, Le Petit-Quevilly
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What was the result of Quevilly vs Toulouse?
Quevilly and Toulouse drew 0-0 on November 6, 2021.
Official lineup for Quevilly vs Toulouse
The starting elevens fielded at kick-off.
Quevilly
4-4-1-1- 28Yassine Bahassa
- 9D. Nazon
- 17G. Sangaré
- 10M. Haddad
- 4A. Diaby
- 12G. Gbellé
- 5R. Padovani
- 3T. Cissokho
- 14N. Dekoke
- 22S. Lambese
- 1N. Lemaître
Toulouse
4-3-3- 7A. Onaiwu
- 9R. Healey
- 29N. Ngoumou
- 17S. Spierings
- 8B. van den Boomen
- 10B. Dejaegere
- 19B. Diakité
- 2R. Nicolaisen
- 3M. Desler
- 12I. Sylla
- 30M. Dupé
What is the recent form of both teams?
Over their last 15 matches in all competitions, Quevilly have 4 wins, 4 draws and 7 defeats; Toulouse have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2021 | Rodez(away) | 0-3 | Ligue 2 |
| Oct 23, 2021 | Sochaux(away) | 1-1 | Ligue 2 |
| Oct 16, 2021 | Niort(home) | 0-3 | Ligue 2 |
| Oct 2, 2021 | Ajaccio(away) | 1-0 | Ligue 2 |
| Sep 24, 2021 | Guingamp(home) | 2-2 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2021 | Guingamp(home) | 2-2 | Ligue 2 |
| Oct 23, 2021 | Paris FC(away) | 2-2 | Ligue 2 |
| Oct 16, 2021 | Auxerre(home) | 6-0 | Ligue 2 |
| Oct 2, 2021 | Amiens(away) | 0-0 | Ligue 2 |
| Sep 27, 2021 | Caen(home) | 2-3 | Ligue 2 |
How many goals should we expect?
Quevilly score 0.9 and concede 1.3 goals per match over their last 15; Toulouse score 2.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Quevilly | 0.9 | 1.3 | 2 | 7/15 | 7/15 |
| Toulouse | 2.3 | 1.0 | 7 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Quevilly vs Toulouse?
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