Torrellano vs Patacona: result 2-0 and analysis
Tercera División RFEF - Group 6Group 6 - 8Kick-off on October 30, 2022 at 03:30 PM (UTC)Polideportivo Isabel Fernández, Torrellano
Full time
What was the result of Torrellano vs Patacona?
Torrellano won 2-0 on October 30, 2022.
Goalscorers
- 45′Jony ÑiguezTorrellano (pen.)
- 83′Pablo RuizTorrellano
What is the recent form of both teams?
Over their last 15 matches in all competitions, Torrellano have 5 wins, 7 draws and 3 defeats; Patacona have 3, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2022 | Castellón II(away) | 1-0 | Tercera División RFEF - Group 6 |
| Oct 16, 2022 | Rayo Ibense(home) | 2-0 | Tercera División RFEF - Group 6 |
| Oct 8, 2022 | Roda(away) | 0-0 | Tercera División RFEF - Group 6 |
| Oct 2, 2022 | Elche II(home) | 0-0 | Tercera División RFEF - Group 6 |
| Sep 24, 2022 | Jove Español(away) | 1-2 | Tercera División RFEF - Group 6 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2022 | Orihuela(home) | 1-0 | Tercera División RFEF - Group 6 |
| Oct 15, 2022 | Hércules II(away) | 2-1 | Tercera División RFEF - Group 6 |
| Oct 8, 2022 | Villarreal III(home) | 1-1 | Tercera División RFEF - Group 6 |
| Oct 1, 2022 | Atzeneta(away) | 1-1 | Tercera División RFEF - Group 6 |
| Sep 24, 2022 | CF Gandía(home) | 1-0 | Tercera División RFEF - Group 6 |
How many goals should we expect?
Torrellano score 0.9 and concede 0.7 goals per match over their last 15; Patacona score 1.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torrellano | 0.9 | 0.7 | 9 | 4/15 | 4/15 |
| Patacona | 1.0 | 0.7 | 2 | 4/7 | 1/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Torrellano | 34 | 13 | 8 | 13 | 40 | 38 | 47 |
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