Binissalem vs Serverense: result 3-1 and analysis
Tercera División RFEF - Group 11Group 11 - 5Kick-off on October 2, 2021 at 03:30 PM (UTC)Estadio Miquel Pons, Mallorca
Full time
What was the result of Binissalem vs Serverense?
Binissalem won 3-1 on October 2, 2021.
Goalscorers
- 2′185648Binissalem
- 11′Jaume MoyáBinissalem
- 16′Isaac Calvo HerediaServerense
- 53′185648Binissalem
What is the recent form of both teams?
Over their last 15 matches in all competitions, Binissalem have 10 wins, 2 draws and 3 defeats; Serverense have 0, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2021 | Collerense(away) | 1-0 | Tercera División RFEF - Group 11 |
| Sep 19, 2021 | Portmany(home) | 3-1 | Tercera División RFEF - Group 11 |
| Sep 11, 2021 | Constància(away) | 1-2 | Tercera División RFEF - Group 11 |
| Sep 4, 2021 | Inter Ibiza(home) | 1-0 | Tercera División RFEF - Group 11 |
| Jun 20, 2021 | Felanitx(home) | 1-0 | Tercera División RFEF - Group 11 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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?
Binissalem score 1.1 and concede 0.7 goals per match over their last 15; Serverense score 0.7 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Binissalem | 1.1 | 0.7 | 9 | 4/15 | 4/15 |
| Serverense | 0.7 | 2.7 | 0 | 2/3 | 3/3 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Binissalem | 34 | 10 | 11 | 13 | 26 | 34 | 41 |
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