Subiza vs Lourdes: result 1-2 and analysis
Tercera División RFEF - Group 15Group 15 - 15Kick-off on November 30, 2019 at 03:00 PM (UTC)Estadio Sotoburu, Subiza
Full time
What was the result of Subiza vs Lourdes?
Lourdes won 1-2 on November 30, 2019.
Goalscorers
- 9′Sergio Agudo LarequiLourdes
- 24′186639Subiza
- 89′Mohamed El Khayat RifiLourdes
What is the recent form of both teams?
Over their last 14 matches in all competitions, Subiza have 4 wins, 5 draws and 5 defeats; Lourdes have 3, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Cirbonero(away) | 0-3 | Tercera División RFEF - Group 15 |
| Nov 16, 2019 | Beti Kozkor(home) | 1-1 | Tercera División RFEF - Group 15 |
| Nov 9, 2019 | Fontellas(away) | 2-1 | Tercera División RFEF - Group 15 |
| Oct 31, 2019 | Huarte(home) | 1-2 | Tercera División RFEF - Group 15 |
| Oct 26, 2019 | Burladés(away) | 1-0 | Tercera División RFEF - Group 15 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2019 | Pamplona(home) | 0-1 | Tercera División RFEF - Group 15 |
| Nov 17, 2019 | Peña Sport(away) | 1-2 | Tercera División RFEF - Group 15 |
| Nov 9, 2019 | San Juan(home) | 1-1 | Tercera División RFEF - Group 15 |
| Nov 1, 2019 | Txantrea(away) | 0-4 | Tercera División RFEF - Group 15 |
| Oct 27, 2019 | Cirbonero(away) | 1-1 | Tercera División RFEF - Group 15 |
How many goals should we expect?
Subiza score 1.1 and concede 1.3 goals per match over their last 14; Lourdes score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Subiza | 1.1 | 1.3 | 4 | 7/14 | 6/14 |
| Lourdes | 1.1 | 1.7 | 2 | 8/14 | 8/14 |
Over the last 14 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