Igualada vs Terrassa: result 0-2 and analysis
Tercera División RFEF - Group 5Group 5 - 4Kick-off on November 8, 2020 at 04:00 PM (UTC)Estadi Cem Les Comes, Igualada
Full time
What was the result of Igualada vs Terrassa?
Terrassa won 0-2 on November 8, 2020.
Goalscorers
- 13′Jaume PascualTerrassa
- 76′A. MukaiTerrassa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Igualada have 7 wins, 3 draws and 5 defeats; Terrassa have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2020 | Valls(away) | 2-1 | Tercera División RFEF - Group 5 |
| Oct 25, 2020 | Manresa(home) | 1-0 | Tercera División RFEF - Group 5 |
| Oct 18, 2020 | Montañesa(away) | 2-0 | Tercera División RFEF - Group 5 |
| Mar 7, 2020 | San Cristóbal(home) | 1-0 | Tercera División RFEF - Group 5 |
| Mar 1, 2020 | Peralada(away) | 0-1 | Tercera División RFEF - Group 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2020 | Castelldefels(home) | 1-0 | Tercera División RFEF - Group 5 |
| Oct 18, 2020 | Valls(away) | 3-0 | Tercera División RFEF - Group 5 |
| Mar 28, 2020 | Reus(away) | 3-0 | Tercera División RFEF - Group 5 |
| Mar 8, 2020 | Sants(away) | 1-1 | Tercera División RFEF - Group 5 |
| Mar 1, 2020 | Cerdanyola del Vallès(home) | 1-1 | Tercera División RFEF - Group 5 |
What does the head-to-head say?
Across the last 1 meetings: 0 Igualada win(s), 0 draw(s), 1 Terrassa win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 24, 2019 | Terrassa 4-1 Igualada | Tercera División RFEF - Group 5 |
How many goals should we expect?
Igualada score 1.2 and concede 1.1 goals per match over their last 15; Terrassa score 1.6 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Igualada | 1.2 | 1.1 | 6 | 6/15 | 5/15 |
| Terrassa | 1.6 | 0.5 | 9 | 5/15 | 7/15 |
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