Sabadell vs Intercity: result 2-1 and analysis
Primera División RFEF - Group 2Group 2 - 9Kick-off on October 22, 2022 at 05:00 PM (UTC)Estadi de la Nova Creu Alta, Sabadell
Full time
What was the result of Sabadell vs Intercity?
Sabadell won 2-1 on October 22, 2022.
Goalscorers
- 11′Pol RoigéIntercity
- 21′Adán GurdielSabadell
- 25′Pau VictorSabadell
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sabadell have 6 wins, 2 draws and 7 defeats; Intercity have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2022 | Barcelona B(away) | 4-1 | Primera División RFEF - Group 2 |
| Oct 9, 2022 | Eldense(home) | 1-3 | Primera División RFEF - Group 2 |
| Oct 1, 2022 | UD Logroñés(away) | 0-3 | Primera División RFEF - Group 2 |
| Sep 25, 2022 | Calahorra(home) | 1-0 | Primera División RFEF - Group 2 |
| Sep 18, 2022 | Alcoyano(away) | 1-2 | Primera División RFEF - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2022 | Osasuna II(home) | 2-1 | Primera División RFEF - Group 2 |
| Oct 9, 2022 | Athletic Club II(away) | 0-1 | Primera División RFEF - Group 2 |
| Oct 1, 2022 | Cornellà(home) | 1-2 | Primera División RFEF - Group 2 |
| Sep 25, 2022 | SD Logroñés(away) | 0-1 | Primera División RFEF - Group 2 |
| Sep 17, 2022 | Real Sociedad II(home) | 5-2 | Primera División RFEF - Group 2 |
How many goals should we expect?
Sabadell score 1.1 and concede 1.3 goals per match over their last 15; Intercity score 1.8 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sabadell | 1.1 | 1.3 | 4 | 7/15 | 7/15 |
| Intercity | 1.8 | 1.2 | 5 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Sabadell | 38 | 18 | 14 | 6 | 53 | 27 | 68 |
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