Miajadas vs Villanovense: result 1-2 and analysis
Tercera División RFEF - Group 14Group 14 - 5Kick-off on September 22, 2019 at 10:00 AM (UTC)Estadio Municipal de Miajadas, Miajadas
Full time
What was the result of Miajadas vs Villanovense?
Villanovense won 1-2 on September 22, 2019.
Goalscorers
- 21′Diego GregoriVillanovense
- 38′David BarcaVillanovense
- 83′Juanlu MaldonadoMiajadas
What is the recent form of both teams?
Over their last 4 matches in all competitions, Miajadas have 3 wins, 0 draws and 1 defeats; Villanovense have 6, 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 | Diocesano(away) | 0-1 | Tercera División RFEF - Group 14 |
| Sep 8, 2019 | Llerenense(home) | 2-0 | Tercera División RFEF - Group 14 |
| Sep 1, 2019 | Trujillo(away) | 2-0 | Tercera División RFEF - Group 14 |
| Aug 25, 2019 | Arroyo(home) | 2-1 | Tercera División RFEF - Group 14 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2019 | Azuaga(home) | 2-0 | Tercera División RFEF - Group 14 |
| Sep 8, 2019 | Extremadura UD II(away) | 4-1 | Tercera División RFEF - Group 14 |
| Sep 1, 2019 | Olivenza(home) | 4-0 | Tercera División RFEF - Group 14 |
| Aug 25, 2019 | Valdivia(away) | 4-1 | Tercera División RFEF - Group 14 |
| Dec 5, 2018 | Sevilla(away) | 0-1 | Copa del Rey |
How many goals should we expect?
Miajadas score 1.5 and concede 0.5 goals per match over their last 4; Villanovense score 2.4 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Miajadas | 1.5 | 0.5 | 2 | 1/4 | 1/4 |
| Villanovense | 2.4 | 0.6 | 3 | 4/8 | 5/8 |
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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Villanovense | 34 | 15 | 8 | 11 | 45 | 36 | 53 |
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