Sanluqueño vs Melilla: result 2-0 and analysis
Primera División RFEF - Group 2Group 2 - 16Kick-off on December 10, 2023 at 11:00 AM (UTC)Estadio El Palmar, Sanlúcar de Barrameda
Full time
What was the result of Sanluqueño vs Melilla?
Sanluqueño won 2-0 on December 10, 2023.
Goalscorers
- 68′Nacho GomaSanluqueño
- 90′NandoSanluqueño
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sanluqueño have 3 wins, 4 draws and 8 defeats; Melilla have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 2, 2023 | Malaga(away) | 0-0 | Primera División RFEF - Group 2 |
| Nov 25, 2023 | AD Ceuta FC(home) | 1-1 | Primera División RFEF - Group 2 |
| Nov 22, 2023 | Cordoba(home) | 1-2 | Primera División RFEF - Group 2 |
| Nov 19, 2023 | Recreativo Huelva(away) | 0-1 | Primera División RFEF - Group 2 |
| Nov 16, 2023 | Cadiz(home) | 0-2 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 7, 2023 | Eibar(home) | 1-1 | Copa del Rey |
| Dec 3, 2023 | Cordoba(home) | 0-1 | Primera División RFEF - Group 2 |
| Nov 26, 2023 | San Fernando CD(away) | 1-4 | Primera División RFEF - Group 2 |
| Nov 19, 2023 | Ibiza(home) | 0-3 | Primera División RFEF - Group 2 |
| Nov 12, 2023 | Alcoyano(away) | 0-3 | Primera División RFEF - Group 2 |
How many goals should we expect?
Sanluqueño score 1.1 and concede 1.4 goals per match over their last 15; Melilla score 0.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sanluqueño | 1.1 | 1.4 | 2 | 7/15 | 6/15 |
| Melilla | 0.5 | 1.5 | 2 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 19 | Sanluqueño | 38 | 7 | 10 | 21 | 27 | 53 | 31 |
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