Águilas vs Intercity: result 1-2 and analysis
Segunda División RFEF - Group 5Group 5 - 5Kick-off on October 3, 2021 at 05:00 PM (UTC)Estadio El Rubial, Águilas
Full time
What was the result of Águilas vs Intercity?
Intercity won 1-2 on October 3, 2021.
Goalscorers
- 44′Cristian HerreraIntercity
- 87′D. PetravičiusÁguilas
- 90′Carlos Carrasco RodríguezIntercity
What is the recent form of both teams?
Over their last 15 matches in all competitions, Águilas have 7 wins, 4 draws and 4 defeats; Intercity 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 |
|---|---|---|---|
| Sep 25, 2021 | Granada II(away) | 2-0 | Segunda División RFEF - Group 5 |
| Sep 19, 2021 | Marchamalo(home) | 2-0 | Segunda División RFEF - Group 5 |
| Sep 12, 2021 | Toledo(away) | 1-0 | Segunda División RFEF - Group 5 |
| Sep 5, 2021 | Mancha Real(home) | 1-1 | Segunda División RFEF - Group 5 |
| Aug 29, 2021 | Cartagena LU II(home) | 2-1 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2021 | Melilla(home) | 0-0 | Segunda División RFEF - Group 5 |
| Sep 19, 2021 | Real Murcia(away) | 0-2 | Segunda División RFEF - Group 5 |
| Sep 12, 2021 | Hércules(home) | 1-2 | Segunda División RFEF - Group 5 |
| Sep 5, 2021 | Eldense(away) | 0-0 | Segunda División RFEF - Group 5 |
| Aug 11, 2021 | Alcoyano(away) | 1-2 | Friendlies Clubs |
How many goals should we expect?
Águilas score 1.1 and concede 0.7 goals per match over their last 15; Intercity score 0.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Águilas | 1.1 | 0.7 | 7 | 6/15 | 4/15 |
| Intercity | 0.5 | 0.7 | 9 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Intercity | 34 | 11 | 10 | 13 | 42 | 45 | 43 |
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