Sanluqueño vs AD Ceuta FC: result 1-1 and analysis
Primera División RFEF - Group 2Group 2 - 14Kick-off on November 25, 2023 at 03:00 PM (UTC)Estadio El Palmar, Sanlúcar de Barrameda
Full time
What was the result of Sanluqueño vs AD Ceuta FC?
Sanluqueño and AD Ceuta FC drew 1-1 on November 25, 2023.
Goalscorers
- 64′AntoñitoAD Ceuta FC
- 90′Z. GhailánSanluqueño
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sanluqueño have 3 wins, 3 draws and 9 defeats; AD Ceuta FC have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Nov 12, 2023 | Linares Deportivo(home) | 3-2 | Primera División RFEF - Group 2 |
| Nov 4, 2023 | Intercity(away) | 0-1 | Primera División RFEF - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2023 | Granada II(home) | 1-0 | Primera División RFEF - Group 2 |
| Nov 12, 2023 | Cordoba(away) | 3-3 | Primera División RFEF - Group 2 |
| Nov 5, 2023 | Real Murcia(home) | 1-0 | Primera División RFEF - Group 2 |
| Oct 29, 2023 | Real Madrid II(away) | 1-1 | Primera División RFEF - Group 2 |
| Oct 21, 2023 | Algeciras(away) | 0-1 | Primera División RFEF - Group 2 |
How many goals should we expect?
Sanluqueño score 1.2 and concede 1.7 goals per match over their last 15; AD Ceuta FC score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sanluqueño | 1.2 | 1.7 | 1 | 8/15 | 8/15 |
| AD Ceuta FC | 1.0 | 1.0 | 6 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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