Torrent vs Atzeneta: result 1-0 and analysis
Tercera División RFEF - Group 6Group 6 - 19Kick-off on January 19, 2022 at 06:00 PM (UTC)Estadio San Gregorio, Torrent
Full time
What was the result of Torrent vs Atzeneta?
Torrent won 1-0 on January 19, 2022.
Goalscorers
- 35′Jorge JuliáTorrent (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Torrent have 9 wins, 2 draws and 4 defeats; Atzeneta have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 15, 2022 | Roda(home) | 0-3 | Tercera División RFEF - Group 6 |
| Jan 5, 2022 | Villajoyosa(home) | 3-1 | Tercera División RFEF - Group 6 |
| Dec 19, 2021 | Elche II(away) | 1-0 | Tercera División RFEF - Group 6 |
| Dec 12, 2021 | Benigànim(home) | 3-0 | Tercera División RFEF - Group 6 |
| Dec 8, 2021 | Valencia II(away) | 1-1 | Tercera División RFEF - Group 6 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 16, 2022 | RC Catarroja(away) | 1-0 | Tercera División RFEF - Group 6 |
| Jan 8, 2022 | Hércules II(home) | 1-0 | Tercera División RFEF - Group 6 |
| Jan 5, 2022 | Acero(away) | 1-0 | Tercera División RFEF - Group 6 |
| Dec 18, 2021 | Villarreal III(home) | 3-1 | Tercera División RFEF - Group 6 |
| Dec 12, 2021 | Torrellano(away) | 3-0 | Tercera División RFEF - Group 6 |
How many goals should we expect?
Torrent score 1.1 and concede 0.6 goals per match over their last 15; Atzeneta score 1.1 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torrent | 1.1 | 0.6 | 8 | 3/15 | 4/15 |
| Atzeneta | 1.1 | 0.5 | 9 | 4/15 | 5/15 |
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 |
|---|---|---|---|---|---|---|---|---|
| 15 | Atzeneta | 34 | 10 | 7 | 17 | 29 | 40 | 37 |
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