Moralo vs CD Coria: result 2-0 and analysis
Tercera División RFEF - Group 14Group 14 - 14Kick-off on November 17, 2019 at 04:00 PM (UTC)Estadio Municipal de Navalmoral de la Mata, Navalmoral de la Mata
Full time
What was the result of Moralo vs CD Coria?
Moralo won 2-0 on November 17, 2019.
Goalscorers
- 8′Sergio Alonso ExpósitoMoralo
- 27′Sergio Alonso ExpósitoMoralo
What is the recent form of both teams?
Over their last 13 matches in all competitions, Moralo have 5 wins, 5 draws and 3 defeats; CD Coria have 8, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 27, 2019 | Azuaga(away) | 0-1 | Tercera División RFEF - Group 14 |
| Oct 20, 2019 | Extremadura UD II(home) | 1-1 | Tercera División RFEF - Group 14 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2019 | Cacereño(home) | 0-2 | Tercera División RFEF - Group 14 |
| Nov 3, 2019 | Miajadas(away) | 4-1 | Tercera División RFEF - Group 14 |
| Nov 1, 2019 | Azuaga(home) | 2-1 | Tercera División RFEF - Group 14 |
| Oct 27, 2019 | Extremadura UD II(away) | 0-1 | Tercera División RFEF - Group 14 |
| Oct 20, 2019 | Olivenza(home) | 7-1 | Tercera División RFEF - Group 14 |
How many goals should we expect?
Moralo score 1.6 and concede 0.9 goals per match over their last 13; CD Coria score 1.6 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Moralo | 1.6 | 0.9 | 4 | 7/13 | 3/13 |
| CD Coria | 1.6 | 0.8 | 4 | 6/13 | 6/13 |
Over the last 13 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