CD Coria vs Diocesano: result 2-1 and analysis
Tercera División RFEF - Group 14Group 14 - 7Kick-off on October 6, 2019 at 04:00 PM (UTC)Estadio La Isla, Coria
Full time
What was the result of CD Coria vs Diocesano?
CD Coria won 2-1 on October 6, 2019.
Goalscorers
- 44′Jesús ClementeDiocesano
- 83′Fernando PinoCD Coria
- 85′MahílloCD Coria
What is the recent form of both teams?
Over their last 6 matches in all competitions, CD Coria have 4 wins, 1 draws and 1 defeats; Diocesano have 2, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Llerenense(away) | 2-1 | Tercera División RFEF - Group 14 |
| Sep 22, 2019 | Trujillo(home) | 2-1 | Tercera División RFEF - Group 14 |
| Sep 13, 2019 | Arroyo(away) | 0-0 | Tercera División RFEF - Group 14 |
| Sep 6, 2019 | Aceuchal(home) | 0-2 | Tercera División RFEF - Group 14 |
| Sep 1, 2019 | Jerez(away) | 1-0 | Tercera División RFEF - Group 14 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Moralo(home) | 0-1 | Tercera División RFEF - Group 14 |
| Sep 22, 2019 | Cacereño(away) | 1-1 | Tercera División RFEF - Group 14 |
| Sep 15, 2019 | Miajadas(home) | 1-0 | Tercera División RFEF - Group 14 |
| Sep 8, 2019 | Azuaga(away) | 1-3 | Tercera División RFEF - Group 14 |
| Sep 1, 2019 | Extremadura UD II(home) | 0-1 | Tercera División RFEF - Group 14 |
How many goals should we expect?
CD Coria score 1.0 and concede 0.7 goals per match over their last 6; Diocesano score 1.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CD Coria | 1.0 | 0.7 | 3 | 2/6 | 2/6 |
| Diocesano | 1.2 | 1.2 | 1 | 3/6 | 2/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Diocesano | 34 | 6 | 12 | 16 | 33 | 63 | 30 |
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