Rotlet Molinar vs Serverense: result 0-1 and analysis
Tercera División RFEF - Group 11Group 11 - 9Kick-off on October 16, 2021 at 04:00 PM (UTC)Camp De Futbol Municipal, Palma de Mallorca
Full time
What was the result of Rotlet Molinar vs Serverense?
Serverense won 0-1 on October 16, 2021.
Goalscorers
- 41′Isaac Calvo HerediaServerense
What is the recent form of both teams?
Over their last 8 matches in all competitions, Rotlet Molinar have 2 wins, 2 draws and 4 defeats; Serverense have 0, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2021 | Collerense(away) | 0-1 | Tercera División RFEF - Group 11 |
| Oct 9, 2021 | Portmany(home) | 0-1 | Tercera División RFEF - Group 11 |
| Oct 6, 2021 | Constància(away) | 0-6 | Tercera División RFEF - Group 11 |
| Oct 3, 2021 | Inter Ibiza(home) | 3-0 | Tercera División RFEF - Group 11 |
| Sep 26, 2021 | Campos(away) | 0-1 | Tercera División RFEF - Group 11 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2021 | PE Sant Jordi(home) | 0-2 | Tercera División RFEF - Group 11 |
| Oct 10, 2021 | Sóller(away) | 3-4 | Tercera División RFEF - Group 11 |
| 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 |
How many goals should we expect?
Rotlet Molinar score 1.0 and concede 1.6 goals per match over their last 8; Serverense score 1.1 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rotlet Molinar | 1.0 | 1.6 | 1 | 3/8 | 4/8 |
| Serverense | 1.1 | 2.7 | 0 | 5/7 | 6/7 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | Rotlet Molinar | 34 | 5 | 8 | 21 | 34 | 69 | 23 |
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