Igualada vs Figueres: result 3-6 and analysis
Tercera División RFEF - Group 5Group 5 - 17Kick-off on December 21, 2019 at 05:00 PM (UTC)Estadi Cem Les Comes, Igualada
Full time
What was the result of Igualada vs Figueres?
Figueres won 3-6 on December 21, 2019.
Goalscorers
- 27′Goran Ehsan PerníaIgualada
- 31′184051Figueres
- 36′Genís BalaguerFigueres
- 40′184164Figueres (pen.)
- 46′Santiago Triguero BlanchIgualada
- 65′David GrifellIgualada
- 76′184164Figueres
- 83′179098Figueres
- 89′Enzo Daniel SarmientoFigueres
What is the recent form of both teams?
Over their last 15 matches in all competitions, Igualada have 3 wins, 2 draws and 10 defeats; Figueres have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 15, 2019 | Vilassar Mar(away) | 1-1 | Tercera División RFEF - Group 5 |
| Nov 30, 2019 | Granollers(home) | 0-1 | Tercera División RFEF - Group 5 |
| Nov 24, 2019 | Terrassa(away) | 1-4 | Tercera División RFEF - Group 5 |
| Nov 16, 2019 | Europa Fc(home) | 1-1 | Tercera División RFEF - Group 5 |
| Nov 10, 2019 | Banyoles(away) | 0-1 | Tercera División RFEF - Group 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 15, 2019 | Pobla Mafumet(home) | 2-1 | Tercera División RFEF - Group 5 |
| Dec 1, 2019 | Reus(away) | 3-0 | Tercera División RFEF - Group 5 |
| Nov 24, 2019 | Castelldefels(home) | 0-2 | Tercera División RFEF - Group 5 |
| Nov 17, 2019 | Horta(away) | 3-1 | Tercera División RFEF - Group 5 |
| Nov 10, 2019 | Santfeliuenc(home) | 1-1 | Tercera División RFEF - Group 5 |
How many goals should we expect?
Igualada score 1.1 and concede 1.9 goals per match over their last 15; Figueres score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Igualada | 1.1 | 1.9 | 2 | 7/15 | 10/15 |
| Figueres | 1.5 | 1.4 | 2 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
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