Torrent vs Badalona: result 1-3 and analysis
Segunda División RFEF - Group 3Group 3 - 10Kick-off on November 5, 2023 at 11:00 AM (UTC)Estadio San Gregorio, Torrent
Full time
What was the result of Torrent vs Badalona?
Badalona won 1-3 on November 5, 2023.
Goalscorers
- 21′Adri PérezTorrent
- 30′Sergio CortésBadalona (pen.)
- 48′Jaume PascualBadalona
- 66′Peque PoloBadalona
What is the recent form of both teams?
Over their last 15 matches in all competitions, Torrent have 9 wins, 3 draws and 3 defeats; Badalona have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2023 | Peña Deportiva(away) | 1-2 | Segunda División RFEF - Group 3 |
| Oct 22, 2023 | Manresa(home) | 1-0 | Segunda División RFEF - Group 3 |
| Oct 14, 2023 | Saguntino(away) | 2-0 | Segunda División RFEF - Group 3 |
| Oct 8, 2023 | Alzira(home) | 3-1 | Segunda División RFEF - Group 3 |
| Oct 1, 2023 | Terrassa(away) | 1-0 | Segunda División RFEF - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2023 | Cadiz(home) | 0-0 | Copa del Rey |
| Oct 29, 2023 | Formentera(home) | 1-0 | Segunda División RFEF - Group 3 |
| Oct 25, 2023 | UD Logroñés(away) | 3-2 | Copa Federacion |
| Oct 21, 2023 | Espanyol II(away) | 0-1 | Segunda División RFEF - Group 3 |
| Oct 15, 2023 | Lleida Esportiu(home) | 0-0 | Segunda División RFEF - Group 3 |
How many goals should we expect?
Torrent score 1.1 and concede 0.7 goals per match over their last 15; Badalona score 1.7 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torrent | 1.1 | 0.7 | 8 | 5/15 | 5/15 |
| Badalona | 1.7 | 0.5 | 9 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 17 | Torrent | 34 | 7 | 9 | 18 | 36 | 53 | 30 |
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