Sóller vs Serverense: result 4-3 and analysis
Tercera División RFEF - Group 11Group 11 - 7Kick-off on October 10, 2021 at 10:00 AM (UTC)Parque Municipal Sóller, Sóller
Full time
What was the result of Sóller vs Serverense?
Sóller won 4-3 on October 10, 2021.
Goalscorers
- 3′Sergio Barroso CarrascoServerense
- 19′Marc EsteveSóller
- 24′Miguel FemeniasSóller
- 41′Felip Más BauzáServerense
- 56′Miguel BestardSóller (pen.)
- 58′Marc EsteveSóller
- 77′Benjamín Sanz GarridoServerense
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sóller have 7 wins, 4 draws and 4 defeats; Serverense have 0, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2021 | Collerense(away) | 1-2 | Tercera División RFEF - Group 11 |
| Oct 3, 2021 | Portmany(home) | 1-1 | Tercera División RFEF - Group 11 |
| Sep 25, 2021 | Constància(away) | 1-2 | Tercera División RFEF - Group 11 |
| Sep 19, 2021 | Inter Ibiza(home) | 2-0 | Tercera División RFEF - Group 11 |
| Sep 11, 2021 | Campos(away) | 1-1 | Tercera División RFEF - Group 11 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2021 | Poblense(home) | 2-2 | Tercera División RFEF - Group 11 |
| Oct 2, 2021 | Binissalem(away) | 1-3 | Tercera División RFEF - Group 11 |
| Sep 26, 2021 | Llosetense(home) | 0-3 | Tercera División RFEF - Group 11 |
| Sep 19, 2021 | Mallorca II(away) | 1-2 | Tercera División RFEF - Group 11 |
| Sep 11, 2021 | Santanyí(home) | 1-3 | Tercera División RFEF - Group 11 |
How many goals should we expect?
Sóller score 1.5 and concede 0.7 goals per match over their last 15; Serverense score 1.0 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sóller | 1.5 | 0.7 | 6 | 7/15 | 5/15 |
| Serverense | 1.0 | 2.6 | 0 | 4/5 | 5/5 |
Over the last 15 matches in all competitions.
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