Rapitenca vs Cerdanyola del Vallès: result 4-2 and analysis
Tercera División RFEF - Group 5Group 5 - 1Kick-off on September 11, 2022 at 04:00 PM (UTC)Estadio La Devesa, Sant Carles de la Ràpita
Full time
What was the result of Rapitenca vs Cerdanyola del Vallès?
Rapitenca won 4-2 on September 11, 2022.
Goalscorers
- 22′PachuRapitenca
- 32′O. OuhdadiRapitenca
- 35′Guillem Martínez MartínezRapitenca
- 52′Sergi CadenaCerdanyola del Vallès
- 56′Guillem Martínez MartínezRapitenca
- 75′Hicham BenamarCerdanyola del Vallès
Official lineup for Rapitenca vs Cerdanyola del Vallès
The starting elevens fielded at kick-off.
Rapitenca
- EEdgar Samper
- OO. Ouhdadi
- GGuillem Martínez Martínez
- ÁÁlex Forés
- PPachu
- AAlex Samper
- CCarlos Panadés
- AAleix Cuenca
- EEric Alarcón
- AAndy Alarcón
- SSebastián Portigliatti
Cerdanyola del Vallès
- FF. Gonzalez
- HHicham Benamar
- IIván Tébar
- PPau Caresia
- IIván García
- NNil Hervias
- SSergi Cadena
- DDavid Cura
- IIker Hernández
- AAlex Ruíz
- PPau Llasera
What is the recent form of both teams?
Over their last 0 matches in all competitions, Rapitenca have 0 wins, 0 draws and 0 defeats; Cerdanyola del Vallès 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 |
|---|---|---|---|
| May 15, 2022 | Huesca II(home) | 2-0 | Segunda División RFEF - Group 3 |
| May 8, 2022 | Ejea(away) | 2-4 | Segunda División RFEF - Group 3 |
| May 1, 2022 | Peña Deportiva(home) | 0-3 | Segunda División RFEF - Group 3 |
| Apr 24, 2022 | Terrassa(away) | 1-3 | Segunda División RFEF - Group 3 |
| Apr 17, 2022 | Formentera(home) | 2-3 | Segunda División RFEF - Group 3 |
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Cerdanyola del Vallès | 7 | 2 | 3 | 2 | 7 | 8 | 9 |
A question about Rapitenca vs Cerdanyola del Vallès?
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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