Madridejos vs Azuqueca: result 0-3 and analysis
Tercera División RFEF - Group 18Group 18 - 6Kick-off on September 22, 2019 at 04:00 PM (UTC)Campo de Fútbol Nuevo, Madridejos
Full time
What was the result of Madridejos vs Azuqueca?
Azuqueca won 0-3 on September 22, 2019.
Goalscorers
- 9′Carlos BallesterosAzuqueca
- 53′Borja CabanillasAzuqueca
- 61′Javi MartínAzuqueca
What is the recent form of both teams?
Over their last 5 matches in all competitions, Madridejos have 1 wins, 0 draws and 4 defeats; Azuqueca have 3, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2019 | Almagro(away) | 1-2 | Tercera División RFEF - Group 18 |
| Sep 13, 2019 | Tarancón(home) | 0-2 | Tercera División RFEF - Group 18 |
| Sep 7, 2019 | Atlético Ibañés(away) | 0-3 | Tercera División RFEF - Group 18 |
| Sep 4, 2019 | La Solana(away) | 3-2 | Tercera División RFEF - Group 18 |
| Sep 1, 2019 | Toledo(home) | 1-2 | Tercera División RFEF - Group 18 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2019 | Conquense(home) | 2-2 | Tercera División RFEF - Group 18 |
| Sep 14, 2019 | Illescas(home) | 3-2 | Tercera División RFEF - Group 18 |
| Sep 8, 2019 | Almagro(away) | 3-1 | Tercera División RFEF - Group 18 |
| Sep 1, 2019 | Tarancón(home) | 3-1 | Tercera División RFEF - Group 18 |
| Aug 24, 2019 | Atlético Ibañés(away) | 0-1 | Tercera División RFEF - Group 18 |
How many goals should we expect?
Madridejos score 1.0 and concede 2.2 goals per match over their last 5; Azuqueca score 2.2 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Madridejos | 1.0 | 2.2 | 0 | 3/5 | 4/5 |
| Azuqueca | 2.2 | 1.4 | 0 | 4/5 | 4/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Azuqueca | 34 | 7 | 14 | 14 | 34 | 39 | 34 |
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