Alfaro vs Racing Rioja: result 3-4 and analysis
Tercera División RFEF - Group 16Group 16 - 2nd Phase - 3Kick-off on April 18, 2021 at 03:00 PM (UTC)Estadio La Molineta, Alfaro
Full time
What was the result of Alfaro vs Racing Rioja?
Racing Rioja won 3-4 on April 18, 2021.
Goalscorers
- 6′Imanol AranaRacing Rioja
- 15′Manu CalvoRacing Rioja
- 24′Mario GarcíaRacing Rioja
- 46′Nacho NavajasAlfaro
- 70′Adrien GoñiRacing Rioja
- 81′Fernando AlbínAlfaro
- 88′Nacho NavajasAlfaro
What is the recent form of both teams?
Over their last 15 matches in all competitions, Alfaro have 10 wins, 3 draws and 2 defeats; Racing Rioja have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2021 | UD Logroñés II(away) | 1-0 | Tercera División RFEF - Group 16 |
| Apr 4, 2021 | Náxara(home) | 0-0 | Tercera División RFEF - Group 16 |
| Mar 28, 2021 | Vianés(home) | 1-0 | Tercera División RFEF - Group 16 |
| Mar 20, 2021 | Comillas(away) | 1-0 | Tercera División RFEF - Group 16 |
| Mar 14, 2021 | Agoncillo(home) | 2-0 | Tercera División RFEF - Group 16 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2021 | Anguiano(home) | 2-0 | Tercera División RFEF - Group 16 |
| Apr 4, 2021 | Varea(away) | 1-1 | Tercera División RFEF - Group 16 |
| Mar 28, 2021 | Tedeón(home) | 4-0 | Tercera División RFEF - Group 16 |
| Mar 21, 2021 | Calasancio(away) | 4-0 | Tercera División RFEF - Group 16 |
| Mar 13, 2021 | Casalarreina(home) | 3-2 | Tercera División RFEF - Group 16 |
How many goals should we expect?
Alfaro score 1.5 and concede 0.7 goals per match over their last 15; Racing Rioja score 2.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Alfaro | 1.5 | 0.7 | 9 | 5/15 | 4/15 |
| Racing Rioja | 2.3 | 0.9 | 8 | 6/15 | 8/15 |
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