Sanluqueño vs Atlético Baleares: result 1-0 and analysis
Primera División RFEF - Group 2Group 2 - 18Kick-off on February 23, 2022 at 07:30 PM (UTC)Estadio El Palmar, Sanlúcar de Barrameda
Full time
What was the result of Sanluqueño vs Atlético Baleares?
Sanluqueño won 1-0 on February 23, 2022.
Goalscorers
- 86′Pedro MartínSanluqueño
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sanluqueño have 5 wins, 2 draws and 8 defeats; Atlético Baleares have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 19, 2022 | Sevilla Atletico(away) | 2-1 | Primera División RFEF - Group 2 |
| Feb 12, 2022 | Sabadell(home) | 0-3 | Primera División RFEF - Group 2 |
| Feb 6, 2022 | Linense(home) | 0-0 | Primera División RFEF - Group 2 |
| Jan 30, 2022 | Alcoyano(away) | 0-3 | Primera División RFEF - Group 2 |
| Jan 26, 2022 | Castellón(home) | 0-1 | Primera División RFEF - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 20, 2022 | Gimnastic(home) | 1-1 | Primera División RFEF - Group 2 |
| Feb 13, 2022 | Real Betis II(away) | 2-0 | Primera División RFEF - Group 2 |
| Feb 9, 2022 | San Fernando CD(home) | 1-1 | Primera División RFEF - Group 2 |
| Feb 6, 2022 | Sabadell(away) | 0-1 | Primera División RFEF - Group 2 |
| Jan 30, 2022 | Llagostera(home) | 1-0 | Primera División RFEF - Group 2 |
How many goals should we expect?
Sanluqueño score 1.2 and concede 2.0 goals per match over their last 15; Atlético Baleares score 1.4 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sanluqueño | 1.2 | 2.0 | 3 | 7/15 | 10/15 |
| Atlético Baleares | 1.4 | 1.0 | 4 | 7/15 | 6/15 |
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