Puente Genil vs Rota: result 5-1 and analysis
Tercera División RFEF - Group 10Group 10 - 8Kick-off on October 13, 2019 at 04:30 PM (UTC)Estadio Municipal Manuel Polinario, Puente Genil
Full time
What was the result of Puente Genil vs Rota?
Puente Genil won 5-1 on October 13, 2019.
Goalscorers
- 44′Manuel Reina CarpinteroPuente Genil
- 64′LuisitoPuente Genil
- 66′Iván HenaresPuente Genil
- 75′Luis LaraRota
- 79′Migue GarcíaPuente Genil
- 89′José Carlos Ruíz PozoPuente Genil
What is the recent form of both teams?
Over their last 7 matches in all competitions, Puente Genil have 4 wins, 1 draws and 2 defeats; Rota have 5, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Antoniano(away) | 2-1 | Tercera División RFEF - Group 10 |
| Sep 29, 2019 | Xerez Deportivo(home) | 1-1 | Tercera División RFEF - Group 10 |
| Sep 22, 2019 | Coria CF(away) | 1-0 | Tercera División RFEF - Group 10 |
| Sep 15, 2019 | Ciudad de Lucena(home) | 0-2 | Tercera División RFEF - Group 10 |
| Sep 8, 2019 | Sevilla III(away) | 1-2 | Tercera División RFEF - Group 10 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Gerena(home) | 2-0 | Tercera División RFEF - Group 10 |
| Sep 29, 2019 | Pozoblanco(away) | 4-1 | Tercera División RFEF - Group 10 |
| Sep 21, 2019 | Écija(home) | 3-0 | Tercera División RFEF - Group 10 |
| Sep 15, 2019 | Arcos(home) | 2-1 | Tercera División RFEF - Group 10 |
| Sep 8, 2019 | Antoniano(away) | 0-0 | Tercera División RFEF - Group 10 |
How many goals should we expect?
Puente Genil score 1.3 and concede 0.9 goals per match over their last 7; Rota score 2.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Puente Genil | 1.3 | 0.9 | 3 | 3/7 | 3/7 |
| Rota | 2.0 | 1.1 | 3 | 3/7 | 5/7 |
Over the last 7 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