Moralo vs RCP Valverdeño: result 2-0 and analysis
Tercera División RFEF - Group 14Group 14 - 16Kick-off on November 30, 2019 at 07:00 PM (UTC)Estadio Municipal de Navalmoral de la Mata, Navalmoral de la Mata
Full time
What was the result of Moralo vs RCP Valverdeño?
Moralo won 2-0 on November 30, 2019.
Goalscorers
- 12′Sergio Alonso ExpósitoMoralo
- 58′Raúl Gordo RodríguezMoralo
What is the recent form of both teams?
Over their last 15 matches in all competitions, Moralo have 6 wins, 6 draws and 3 defeats; RCP Valverdeño have 1, 5 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Calamonte(away) | 2-2 | Tercera División RFEF - Group 14 |
| Nov 17, 2019 | CD Coria(home) | 2-0 | Tercera División RFEF - Group 14 |
| Nov 9, 2019 | Valdivia(away) | 9-2 | Tercera División RFEF - Group 14 |
| Nov 3, 2019 | Cacereño(away) | 0-1 | Tercera División RFEF - Group 14 |
| Nov 1, 2019 | Miajadas(home) | 1-2 | Tercera División RFEF - Group 14 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Cacereño(home) | 1-1 | Tercera División RFEF - Group 14 |
| Nov 17, 2019 | Miajadas(away) | 0-2 | Tercera División RFEF - Group 14 |
| Nov 9, 2019 | Azuaga(home) | 0-2 | Tercera División RFEF - Group 14 |
| Nov 3, 2019 | Extremadura UD II(away) | 0-0 | Tercera División RFEF - Group 14 |
| Oct 31, 2019 | Olivenza(home) | 0-0 | Tercera División RFEF - Group 14 |
How many goals should we expect?
Moralo score 1.7 and concede 0.9 goals per match over their last 15; RCP Valverdeño score 0.6 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Moralo | 1.7 | 0.9 | 5 | 8/15 | 4/15 |
| RCP Valverdeño | 0.6 | 1.8 | 3 | 7/15 | 7/15 |
Over the last 15 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Moralo | 34 | 17 | 11 | 6 | 54 | 32 | 62 |
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