Terrassa vs Saguntino: result 2-1 and analysis
Segunda División RFEF - Group 3Group 3 - 6Kick-off on October 9, 2022 at 03:00 PM (UTC)Estadi Olímpic de Terrassa, Terrassa
Full time
What was the result of Terrassa vs Saguntino?
Terrassa won 2-1 on October 9, 2022.
Goalscorers
- 1′P. ServettiTerrassa
- 9′Jordi CanoTerrassa
- 80′Leo RamírezSaguntino
What is the recent form of both teams?
Over their last 15 matches in all competitions, Terrassa have 4 wins, 4 draws and 7 defeats; Saguntino have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2022 | Izarra(home) | 2-2 | Copa Federacion |
| Oct 2, 2022 | Manresa(away) | 1-2 | Segunda División RFEF - Group 3 |
| Sep 28, 2022 | Huarte(away) | 3-0 | Copa Federacion |
| Sep 25, 2022 | Formentera(home) | 1-2 | Segunda División RFEF - Group 3 |
| Sep 18, 2022 | Peña Deportiva(away) | 1-3 | Segunda División RFEF - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2022 | Badalona(home) | 0-0 | Segunda División RFEF - Group 3 |
| Sep 24, 2022 | Manresa(away) | 0-2 | Segunda División RFEF - Group 3 |
| Sep 18, 2022 | Mallorca II(home) | 1-0 | Segunda División RFEF - Group 3 |
| Sep 11, 2022 | Formentera(away) | 0-0 | Segunda División RFEF - Group 3 |
| Sep 4, 2022 | Ibiza Islas Pitiusas(home) | 1-1 | Segunda División RFEF - Group 3 |
How many goals should we expect?
Terrassa score 1.3 and concede 1.3 goals per match over their last 15; Saguntino score 0.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Terrassa | 1.3 | 1.3 | 3 | 10/15 | 9/15 |
| Saguntino | 0.7 | 0.8 | 8 | 5/15 | 2/15 |
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