Silla vs Castellonense: result 2-1 and analysis
Tercera División RFEF - Group 6Group 6 - 6Kick-off on October 15, 2023 at 03:00 PM (UTC)Complejo Deportivo Municipal Vicent Morera, Silla
Full time
What was the result of Silla vs Castellonense?
Silla won 2-1 on October 15, 2023.
Goalscorers
- 47′H. BakaliSilla
- 73′H. BakaliSilla
- 82′Daniele SpiranelliCastellonense
What is the recent form of both teams?
Over their last 15 matches in all competitions, Silla have 2 wins, 4 draws and 9 defeats; Castellonense have 0, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2023 | Patacona(away) | 0-1 | Tercera División RFEF - Group 6 |
| Oct 1, 2023 | Jove Español(home) | 0-2 | Tercera División RFEF - Group 6 |
| Sep 24, 2023 | CF Gandía(away) | 1-1 | Tercera División RFEF - Group 6 |
| Sep 17, 2023 | Soneja(home) | 1-1 | Tercera División RFEF - Group 6 |
| Sep 9, 2023 | Castellón II(away) | 0-2 | Tercera División RFEF - Group 6 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2023 | Ontinyent 1931(home) | 0-1 | Tercera División RFEF - Group 6 |
| Sep 30, 2023 | Elche II(away) | 0-6 | Tercera División RFEF - Group 6 |
| Sep 24, 2023 | Utiel(home) | 0-0 | Tercera División RFEF - Group 6 |
| Sep 17, 2023 | Levante II(away) | 1-3 | Tercera División RFEF - Group 6 |
| Sep 10, 2023 | Burriana(home) | 1-2 | Tercera División RFEF - Group 6 |
How many goals should we expect?
Silla score 0.6 and concede 1.3 goals per match over their last 15; Castellonense score 0.3 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silla | 0.6 | 1.3 | 3 | 5/15 | 4/15 |
| Castellonense | 0.3 | 2.5 | 1 | 2/6 | 4/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Castellonense | 34 | 20 | 7 | 7 | 56 | 30 | 67 |
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