Eldense vs Cornellà: result 2-0 and analysis
Primera División RFEF - Group 2Group 2 - 12Kick-off on November 19, 2022 at 04:00 PM (UTC)Estadio Municipal Nuevo Pepico Amat, Elda
Full time
What was the result of Eldense vs Cornellà?
Eldense won 2-0 on November 19, 2022.
Goalscorers
- 80′Cristian LópezEldense
- 90′Manu NietoEldense
What is the recent form of both teams?
Over their last 15 matches in all competitions, Eldense have 6 wins, 6 draws and 3 defeats; Cornellà have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2022 | Coruxo(away) | 2-2 | Copa del Rey |
| Nov 6, 2022 | Alcoyano(away) | 0-0 | Primera División RFEF - Group 2 |
| Oct 30, 2022 | Castellón(home) | 1-1 | Primera División RFEF - Group 2 |
| Oct 23, 2022 | Atlético Baleares(away) | 1-3 | Primera División RFEF - Group 2 |
| Oct 16, 2022 | SD Logroñés(home) | 3-1 | Primera División RFEF - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2022 | Amorebieta(home) | 0-2 | Primera División RFEF - Group 2 |
| Oct 30, 2022 | Barcelona B(away) | 0-0 | Primera División RFEF - Group 2 |
| Oct 23, 2022 | La Nucía(home) | 0-0 | Primera División RFEF - Group 2 |
| Oct 16, 2022 | UD Logroñés(away) | 1-0 | Primera División RFEF - Group 2 |
| Oct 8, 2022 | Alcoyano(home) | 2-0 | Primera División RFEF - Group 2 |
How many goals should we expect?
Eldense score 1.3 and concede 0.9 goals per match over their last 15; Cornellà score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Eldense | 1.3 | 0.9 | 5 | 8/15 | 5/15 |
| Cornellà | 0.9 | 1.0 | 7 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Eldense | 38 | 19 | 12 | 7 | 57 | 39 | 69 |
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