Siero vs Lealtad: result 0-3 and analysis
Tercera División RFEF - Group 2Group 2 - 9Kick-off on October 20, 2019 at 04:00 PM (UTC)Estadio El Bayu, Pola de Siero
Full time
What was the result of Siero vs Lealtad?
Lealtad won 0-3 on October 20, 2019.
Goalscorers
- 64′Xabi SemedoLealtad
- 66′S. EkediLealtad
- 90′Álvaro GarcíaLealtad
What is the recent form of both teams?
Over their last 8 matches in all competitions, Siero have 2 wins, 2 draws and 4 defeats; Lealtad have 5, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Vallobín(away) | 0-0 | Tercera División RFEF - Group 2 |
| Oct 6, 2019 | Urraca(home) | 1-2 | Tercera División RFEF - Group 2 |
| Sep 29, 2019 | Praviano(away) | 1-3 | Tercera División RFEF - Group 2 |
| Sep 21, 2019 | Ceares(home) | 1-5 | Tercera División RFEF - Group 2 |
| Sep 14, 2019 | Navarro(away) | 2-0 | Tercera División RFEF - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Mosconia(home) | 0-0 | Tercera División RFEF - Group 2 |
| Oct 6, 2019 | Colunga(away) | 2-0 | Tercera División RFEF - Group 2 |
| Sep 29, 2019 | Vallobín(away) | 0-0 | Tercera División RFEF - Group 2 |
| Sep 22, 2019 | Urraca(home) | 2-1 | Tercera División RFEF - Group 2 |
| Sep 14, 2019 | Praviano(away) | 3-1 | Tercera División RFEF - Group 2 |
How many goals should we expect?
Siero score 1.3 and concede 2.1 goals per match over their last 8; Lealtad score 1.5 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Siero | 1.3 | 2.1 | 2 | 6/8 | 5/8 |
| Lealtad | 1.5 | 0.5 | 5 | 3/8 | 3/8 |
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 |
|---|---|---|---|---|---|---|---|---|
| 10 | Siero | 34 | 11 | 9 | 15 | 39 | 49 | 42 |
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