Arosa vs Pontellas: result 3-1 and analysis
Tercera División RFEF - Group 1Group 1 - 10Kick-off on October 27, 2019 at 03:30 PM (UTC)Estadio A Lomba, Vilagarcía de Arousa
Full time
What was the result of Arosa vs Pontellas?
Arosa won 3-1 on October 27, 2019.
Goalscorers
- 15′170489Pontellas
- 30′179086Arosa
- 33′179086Arosa
- 90′182908Arosa
What is the recent form of both teams?
Over their last 9 matches in all competitions, Arosa have 5 wins, 2 draws and 2 defeats; Pontellas have 3, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Somozas(away) | 1-1 | Tercera División RFEF - Group 1 |
| Oct 13, 2019 | Paiosaco(away) | 4-0 | Tercera División RFEF - Group 1 |
| Oct 6, 2019 | Arzúa(home) | 2-1 | Tercera División RFEF - Group 1 |
| Sep 29, 2019 | Villalbés(away) | 1-0 | Tercera División RFEF - Group 1 |
| Sep 22, 2019 | Silva(home) | 2-2 | Tercera División RFEF - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Paiosaco(home) | 1-3 | Tercera División RFEF - Group 1 |
| Oct 13, 2019 | Arzúa(away) | 3-2 | Tercera División RFEF - Group 1 |
| Oct 6, 2019 | Villalbés(home) | 1-0 | Tercera División RFEF - Group 1 |
| Sep 29, 2019 | Silva(away) | 1-1 | Tercera División RFEF - Group 1 |
| Sep 22, 2019 | As Pontes(home) | 2-1 | Tercera División RFEF - Group 1 |
How many goals should we expect?
Arosa score 1.7 and concede 1.2 goals per match over their last 9; Pontellas score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arosa | 1.7 | 1.2 | 3 | 4/9 | 4/9 |
| Pontellas | 1.1 | 1.3 | 2 | 6/9 | 4/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Arosa | 34 | 20 | 10 | 4 | 58 | 35 | 70 |
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