Sabadell vs Gimnastic: result 2-0 and analysis
Primera División RFEF - Group 3Group 3 - 13Kick-off on November 17, 2019 at 04:00 PM (UTC)Estadi de la Nova Creu Alta, Sabadell
Full time
What was the result of Sabadell vs Gimnastic?
Sabadell won 2-0 on November 17, 2019.
Goalscorers
- 25′Néstor QuerolSabadell
- 41′Edgar HernándezSabadell
What is the recent form of both teams?
Over their last 12 matches in all competitions, Sabadell have 6 wins, 4 draws and 2 defeats; Gimnastic have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2019 | FC Andorra(away) | 2-2 | Primera División RFEF - Group 3 |
| Nov 3, 2019 | Badalona(home) | 1-0 | Primera División RFEF - Group 3 |
| Oct 27, 2019 | Barcelona B(away) | 0-1 | Primera División RFEF - Group 3 |
| Oct 20, 2019 | Espanyol II(home) | 3-1 | Primera División RFEF - Group 3 |
| Oct 12, 2019 | Llagostera(away) | 1-0 | Primera División RFEF - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | Badalona(away) | 1-2 | Primera División RFEF - Group 3 |
| Nov 3, 2019 | Espanyol II(home) | 2-2 | Primera División RFEF - Group 3 |
| Oct 27, 2019 | Olot(away) | 1-2 | Primera División RFEF - Group 3 |
| Oct 20, 2019 | La Nucía(home) | 2-1 | Primera División RFEF - Group 3 |
| Oct 12, 2019 | Valencia II(away) | 1-1 | Primera División RFEF - Group 3 |
How many goals should we expect?
Sabadell score 1.2 and concede 0.8 goals per match over their last 12; Gimnastic score 1.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sabadell | 1.2 | 0.8 | 5 | 5/12 | 3/12 |
| Gimnastic | 1.3 | 1.6 | 2 | 11/15 | 9/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Gimnastic | 20 | 9 | 8 | 3 | 32 | 15 | 35 |
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