Mérida vs San Fernando CD: result 1-1 and analysis
Primera División RFEF - Group 4Group 4 - 15Kick-off on December 1, 2019 at 04:00 PM (UTC)Estadio Romano, Mérida
Full time
What was the result of Mérida vs San Fernando CD?
Mérida and San Fernando CD drew 1-1 on December 1, 2019.
Goalscorers
- 50′Jorge GarcíaSan Fernando CD
- 85′Jesús MenaMérida
What is the recent form of both teams?
Over their last 14 matches in all competitions, Mérida have 2 wins, 6 draws and 6 defeats; San Fernando CD have 8, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Cordoba(away) | 1-1 | Primera División RFEF - Group 4 |
| Nov 17, 2019 | Algeciras(home) | 4-2 | Primera División RFEF - Group 4 |
| Nov 9, 2019 | Cádiz II(away) | 1-2 | Primera División RFEF - Group 4 |
| Nov 3, 2019 | Sevilla Atletico(home) | 0-0 | Primera División RFEF - Group 4 |
| Oct 27, 2019 | Badajoz(away) | 1-1 | Primera División RFEF - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Ucam Murcia(home) | 0-0 | Primera División RFEF - Group 4 |
| Nov 16, 2019 | Villarrobledo(away) | 4-0 | Primera División RFEF - Group 4 |
| Nov 10, 2019 | CF Talavera(home) | 1-0 | Primera División RFEF - Group 4 |
| Nov 3, 2019 | FC Cartagena(away) | 0-0 | Primera División RFEF - Group 4 |
| Oct 27, 2019 | Cordoba(away) | 0-1 | Primera División RFEF - Group 4 |
How many goals should we expect?
Mérida score 1.1 and concede 1.5 goals per match over their last 14; San Fernando CD score 1.3 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mérida | 1.1 | 1.5 | 2 | 9/14 | 6/14 |
| San Fernando CD | 1.3 | 0.5 | 8 | 4/14 | 6/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | San Fernando CD | 24 | 11 | 5 | 8 | 29 | 23 | 38 |
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