Amorebieta vs Unionistas de Salamanca: result 1-3 and analysis
Primera División RFEF - Group 2Group 2 - 11Kick-off on November 1, 2019 at 04:00 PM (UTC)Campo Municipal de Urritxe, Amorebieta-Echano
Full time
What was the result of Amorebieta vs Unionistas de Salamanca?
Unionistas de Salamanca won 1-3 on November 1, 2019.
Goalscorers
- 30′Javi NavasUnionistas de Salamanca
- 57′David GrandeUnionistas de Salamanca
- 77′AmorrortuAmorebieta
- 90′David GrandeUnionistas de Salamanca
What is the recent form of both teams?
Over their last 10 matches in all competitions, Amorebieta have 3 wins, 4 draws and 3 defeats; Unionistas de Salamanca have 2, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Burgos(away) | 2-1 | Primera División RFEF - Group 2 |
| Oct 19, 2019 | UD Logroñés(home) | 0-1 | Primera División RFEF - Group 2 |
| Oct 12, 2019 | Athletic Club II(away) | 3-3 | Primera División RFEF - Group 2 |
| Oct 5, 2019 | Real Unión(home) | 1-4 | Primera División RFEF - Group 2 |
| Sep 28, 2019 | Real Valladolid II(home) | 1-0 | Primera División RFEF - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Arenas Getxo(home) | 1-2 | Primera División RFEF - Group 2 |
| Oct 19, 2019 | Osasuna II(away) | 0-2 | Primera División RFEF - Group 2 |
| Oct 12, 2019 | Tudelano(home) | 1-1 | Primera División RFEF - Group 2 |
| Oct 6, 2019 | Salamanca UDS(away) | 0-2 | Primera División RFEF - Group 2 |
| Sep 28, 2019 | Cultural Leonesa(home) | 1-2 | Primera División RFEF - Group 2 |
How many goals should we expect?
Amorebieta score 1.2 and concede 1.4 goals per match over their last 10; Unionistas de Salamanca score 1.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Amorebieta | 1.2 | 1.4 | 3 | 6/10 | 4/10 |
| Unionistas de Salamanca | 1.2 | 1.7 | 1 | 9/12 | 8/12 |
Over the last 10 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