Prat vs Terrassa: result 2-1 and analysis
Segunda División RFEF - Group 3Group 3 - 4Kick-off on September 26, 2021 at 10:00 AM (UTC)Estadio Municipal Sagnier, El Prat de Llobregat
Full time
What was the result of Prat vs Terrassa?
Prat won 2-1 on September 26, 2021.
Goalscorers
- 18′Lucas ParientePrat
- 84′Xavi CivilPrat
- 87′Aythami PereraTerrassa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Prat have 6 wins, 8 draws and 1 defeats; Terrassa have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2021 | Cerdanyola del Vallès(away) | 1-2 | Segunda División RFEF - Group 3 |
| Sep 12, 2021 | Espanyol II(home) | 2-0 | Segunda División RFEF - Group 3 |
| Sep 5, 2021 | Lleida Esportiu(away) | 1-1 | Segunda División RFEF - Group 3 |
| Aug 22, 2021 | Cornellà(home) | 1-0 | Friendlies Clubs |
| Aug 18, 2021 | Castelldefels(away) | 1-1 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2021 | Numancia(home) | 1-1 | Segunda División RFEF - Group 3 |
| Sep 12, 2021 | Brea(away) | 1-1 | Segunda División RFEF - Group 3 |
| Sep 5, 2021 | Huesca II(home) | 2-1 | Segunda División RFEF - Group 3 |
| Aug 21, 2021 | Granollers(away) | 2-1 | Friendlies Clubs |
| May 16, 2021 | Girona II(away) | 1-3 | Tercera División RFEF - Group 5 |
How many goals should we expect?
Prat score 1.1 and concede 0.7 goals per match over their last 15; Terrassa score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Prat | 1.1 | 0.7 | 7 | 8/15 | 3/15 |
| Terrassa | 1.5 | 1.1 | 3 | 11/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Terrassa | 34 | 11 | 13 | 10 | 36 | 44 | 46 |
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