Subiza vs Corellano: result 3-0 and analysis
Tercera División RFEF - Group 15Group 15 - 9Kick-off on October 19, 2019 at 02:30 PM (UTC)Estadio Sotoburu, Subiza
Full time
What was the result of Subiza vs Corellano?
Subiza won 3-0 on October 19, 2019.
Goalscorers
- 17′Edu IzuraSubiza
- 39′Simón Lázaro MartínezSubiza (o.g.)
- 58′David San PedroSubiza
What is the recent form of both teams?
Over their last 8 matches in all competitions, Subiza have 1 wins, 4 draws and 3 defeats; Corellano have 2, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Peña Azagresa(away) | 3-2 | Tercera División RFEF - Group 15 |
| Oct 4, 2019 | Beti Onak(home) | 1-1 | Tercera División RFEF - Group 15 |
| Sep 28, 2019 | Mutilvera(away) | 2-4 | Tercera División RFEF - Group 15 |
| Sep 21, 2019 | Ardoi(home) | 0-1 | Tercera División RFEF - Group 15 |
| Sep 15, 2019 | Murchante(away) | 0-0 | Tercera División RFEF - Group 15 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Pamplona(home) | 1-3 | Tercera División RFEF - Group 15 |
| Oct 6, 2019 | Peña Sport(away) | 0-3 | Tercera División RFEF - Group 15 |
| Sep 28, 2019 | San Juan(home) | 0-1 | Tercera División RFEF - Group 15 |
| Sep 21, 2019 | Lourdes(away) | 1-1 | Tercera División RFEF - Group 15 |
| Sep 15, 2019 | Cirbonero(home) | 1-2 | Tercera División RFEF - Group 15 |
How many goals should we expect?
Subiza score 0.9 and concede 1.4 goals per match over their last 8; Corellano score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Subiza | 0.9 | 1.4 | 2 | 4/8 | 2/8 |
| Corellano | 0.9 | 1.5 | 1 | 4/8 | 4/8 |
Over the last 8 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | Subiza | 34 | 15 | 9 | 10 | 46 | 31 | 54 |
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