Deportivo La Coruña II vs Paiosaco: result 4-2 and analysis
Tercera División RFEF - Group 1Group 1 - 17Kick-off on February 25, 2020 at 04:00 PM (UTC)Ciudad Deportiva de Abegondo, La Coruña
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What was the result of Deportivo La Coruña II vs Paiosaco?
Deportivo La Coruña II won 4-2 on February 25, 2020.
Goalscorers
- 18′Manuel EiroaPaiosaco (pen.)
- 46′Mario LosadaDeportivo La Coruña II
- 55′Pedro MarteloDeportivo La Coruña II
- 65′Pedro MarteloDeportivo La Coruña II
- 67′David RojoPaiosaco
- 74′Mario LosadaDeportivo La Coruña II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Deportivo La Coruña II have 6 wins, 3 draws and 6 defeats; Paiosaco have 0, 7 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 22, 2020 | Barco(away) | 1-1 | Tercera División RFEF - Group 1 |
| Feb 16, 2020 | Compostela(home) | 2-2 | Tercera División RFEF - Group 1 |
| Feb 9, 2020 | Alondras(away) | 0-1 | Tercera División RFEF - Group 1 |
| Feb 2, 2020 | Arenteiro(home) | 1-2 | Tercera División RFEF - Group 1 |
| Jan 26, 2020 | Ourense CF(away) | 0-1 | Tercera División RFEF - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 22, 2020 | Arzúa(home) | 0-3 | Tercera División RFEF - Group 1 |
| Feb 16, 2020 | Villalbés(away) | 1-1 | Tercera División RFEF - Group 1 |
| Feb 9, 2020 | Silva(home) | 1-1 | Tercera División RFEF - Group 1 |
| Feb 2, 2020 | As Pontes(away) | 1-3 | Tercera División RFEF - Group 1 |
| Jan 26, 2020 | Estradense(home) | 0-1 | Tercera División RFEF - Group 1 |
How many goals should we expect?
Deportivo La Coruña II score 1.3 and concede 1.0 goals per match over their last 15; Paiosaco score 0.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Deportivo La Coruña II | 1.3 | 1.0 | 4 | 7/15 | 7/15 |
| Paiosaco | 0.5 | 1.5 | 3 | 7/15 | 4/15 |
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