Grasse vs Rodez: result 0-0 and analysis
Coupe de FranceRound of 32Kick-off on January 21, 2023 at 05:00 PM (UTC)Stades de la Paoute, Grasse
Full time
What was the result of Grasse vs Rodez?
Grasse and Rodez drew 0-0 on January 21, 2023.
Official lineup for Grasse vs Rodez
The starting elevens fielded at kick-off.
Grasse
3-5-2- 9D. Guèye
- 11P. Puel
- 3K. Châtelain
- 10A. Souda
- 8N. Medjian
- 6H. Ako
- 7Y. Gazzaoui
- 4V. Muratori
- 2M. Corain
- 5S. Camara
- 1F. Camus
Rodez
3-5-2- 11Joseph Mendes
- 9A. Pembélé
- 3A. Abdallah
- 8L. Rajot
- 7A. Valério
- 6R. Boissier
- 10M. Senaya
- 4L. Mouyokolo
- 2É. Vandenabeele
- 5K. Boma
- 1S. Cibois
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grasse have 11 wins, 1 draw and 3 defeats; Rodez have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 14, 2023 | Aubagne(home) | 1-1 | National 2 - Group C |
| Jan 7, 2023 | La Tamponnaise(home) | 1-0 | Coupe de France |
| Dec 17, 2022 | Lyon Duchere(away) | 1-0 | National 2 - Group C |
| Dec 14, 2022 | Saint-Priest(home) | 4-1 | National 2 - Group C |
| Dec 10, 2022 | Sète(home) | 4-0 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 13, 2023 | Laval(away) | 1-3 | Ligue 2 |
| Jan 10, 2023 | Niort(home) | 1-1 | Ligue 2 |
| Jan 7, 2023 | Monaco(away) | 2-2 | Coupe de France |
| Dec 30, 2022 | Dijon(home) | 2-1 | Ligue 2 |
| Dec 26, 2022 | Sochaux(away) | 0-1 | Ligue 2 |
How many goals should we expect?
Grasse score 1.6 and concede 0.6 goals per match over their last 15; Rodez score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grasse | 1.6 | 0.6 | 8 | 5/15 | 5/15 |
| Rodez | 0.9 | 1.3 | 5 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Grasse vs Rodez?
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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