Paiosaco vs Villalbés: result 3-1 and analysis
Tercera División RFEF - Group 1Group 1 - 5Kick-off on September 22, 2019 at 04:00 PM (UTC)Campo Porta Santa, A Laracha
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What was the result of Paiosaco vs Villalbés?
Paiosaco won 3-1 on September 22, 2019.
Goalscorers
- 26′Eduardo José Días RodríguezPaiosaco
- 31′Javi VarelaVillalbés
- 51′Juan Lado FormosoPaiosaco
- 74′Adrián OteroPaiosaco
What is the recent form of both teams?
Over their last 4 matches in all competitions, Paiosaco have 0 wins, 2 draws and 2 defeats; Villalbés have 2, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2019 | Silva(away) | 1-1 | Tercera División RFEF - Group 1 |
| Sep 8, 2019 | As Pontes(home) | 0-2 | Tercera División RFEF - Group 1 |
| Sep 1, 2019 | Estradense(away) | 0-1 | Tercera División RFEF - Group 1 |
| Aug 25, 2019 | UD Ourense(home) | 1-1 | Tercera División RFEF - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2019 | Arzúa(home) | 4-0 | Tercera División RFEF - Group 1 |
| Sep 8, 2019 | Somozas(away) | 2-0 | Tercera División RFEF - Group 1 |
| Sep 1, 2019 | Silva(away) | 0-1 | Tercera División RFEF - Group 1 |
| Aug 24, 2019 | As Pontes(home) | 0-0 | Tercera División RFEF - Group 1 |
How many goals should we expect?
Paiosaco score 0.5 and concede 1.3 goals per match over their last 4; Villalbés score 1.5 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paiosaco | 0.5 | 1.3 | 0 | 2/4 | 0/4 |
| Villalbés | 1.5 | 0.3 | 3 | 0/4 | 1/4 |
Over the last 4 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Villalbés | 34 | 13 | 13 | 8 | 36 | 29 | 52 |
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