Silla vs Novelda: result 0-1 and analysis
Tercera División RFEF - Group 6Group 6 - 3Kick-off on September 8, 2019 at 04:15 PM (UTC)Complejo Deportivo Municipal Vicent Morera, Silla
Full time
What was the result of Silla vs Novelda?
Novelda won 0-1 on September 8, 2019.
Goalscorers
- 59′Francisco Caballero TorralboNovelda
Official lineup for Silla vs Novelda
The starting elevens fielded at kick-off.
Silla
- AAdria Sabater Olivas
- JJerónimo Ferrando Ferri
- HHéctor Micó Yébana
- JJaime Miralles Sanz
- AAarón Acevedo
- DDaniel Medina Solano
- AAlberto Tendillo
- CCapsi
- JJesús Silvestre Aguilar
- CCristian Micó Ferrera
- LLucas Parra
Novelda
- CChicha Aguilera
- JJosé Tomás López López
- ÁÁlvaro García Cantó
- VVicente Rafael Valor Martínez
- MMiguel Roman
- RRubén Bella
- DDavid Máñez
- ÓÓscar Sánchez Moreno
- AAndy Pereira
- FFrancisco Caballero Torralbo
- NNéstor Franco Parón Lauría
What is the recent form of both teams?
Over their last 2 matches in all competitions, Silla have 1 win, 0 draws and 1 defeat; Novelda have 1, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2019 | Paterna(away) | 0-1 | Tercera División RFEF - Group 6 |
| Aug 25, 2019 | Vilamarxant(home) | 2-1 | Tercera División RFEF - Group 6 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2019 | Eldense(home) | 0-3 | Tercera División RFEF - Group 6 |
| Aug 24, 2019 | Jove Español(away) | 3-2 | Tercera División RFEF - Group 6 |
How many goals should we expect?
Silla score 1.0 and concede 1.0 goals per match over their last 2; Novelda score 1.5 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silla | 1.0 | 1.0 | 0 | 1/2 | 1/2 |
| Novelda | 1.5 | 2.5 | 0 | 1/2 | 2/2 |
Over the last 2 matches in all competitions.
A question about Silla vs Novelda?
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