Diocesano vs Socuéllamos: result 0-1 and analysis
Segunda División RFEF - Group 5Group 5 - 9Kick-off on October 30, 2022 at 11:00 AM (UTC)Estadio Manuel Sánchez Delgado, Cáceres
Full time
What was the result of Diocesano vs Socuéllamos?
Socuéllamos won 0-1 on October 30, 2022.
Goalscorers
- 53′F. ÁlvarezSocuéllamos
What is the recent form of both teams?
Over their last 15 matches in all competitions, Diocesano have 7 wins, 3 draws and 5 defeats; Socuéllamos have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2022 | Leganés II(home) | 2-3 | Segunda División RFEF - Group 5 |
| Oct 16, 2022 | Cacereño(away) | 0-3 | Segunda División RFEF - Group 5 |
| Oct 12, 2022 | CF Talavera(away) | 2-1 | Segunda División RFEF - Group 5 |
| Oct 8, 2022 | Villanovense(home) | 0-0 | Segunda División RFEF - Group 5 |
| Oct 2, 2022 | Atlético Paso(away) | 0-3 | Segunda División RFEF - Group 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2022 | Cacereño(home) | 0-0 | Segunda División RFEF - Group 5 |
| Oct 16, 2022 | Villanovense(away) | 2-0 | Segunda División RFEF - Group 5 |
| Oct 9, 2022 | Atlético Paso(home) | 1-0 | Segunda División RFEF - Group 5 |
| Oct 2, 2022 | Melilla(away) | 0-3 | Segunda División RFEF - Group 5 |
| Sep 25, 2022 | Navalcarnero(home) | 0-1 | Segunda División RFEF - Group 5 |
How many goals should we expect?
Diocesano score 1.7 and concede 1.3 goals per match over their last 15; Socuéllamos score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diocesano | 1.7 | 1.3 | 3 | 9/15 | 11/15 |
| Socuéllamos | 0.7 | 0.9 | 6 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 17 | Socuéllamos | 34 | 7 | 10 | 17 | 34 | 55 | 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