Pedroñeras vs Almagro: result 0-2 and analysis
Tercera División RFEF - Group 18Group 18 - 6Kick-off on September 22, 2019 at 03:30 PM (UTC)Estadio Municipal de Las Pedroñeras, Las Pedroñeras
Full time
What was the result of Pedroñeras vs Almagro?
Almagro won 0-2 on September 22, 2019.
Goalscorers
- 61′Pablo de HaroAlmagro
- 77′Pablo de HaroAlmagro
What is the recent form of both teams?
Over their last 5 matches in all competitions, Pedroñeras have 1 wins, 3 draws and 1 defeats; Almagro have 2, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2019 | Tarancón(away) | 0-0 | Tercera División RFEF - Group 18 |
| Sep 14, 2019 | Atlético Ibañés(home) | 1-1 | Tercera División RFEF - Group 18 |
| Sep 7, 2019 | Toledo(away) | 0-4 | Tercera División RFEF - Group 18 |
| Aug 31, 2019 | La Solana(home) | 2-2 | Tercera División RFEF - Group 18 |
| Aug 25, 2019 | Quintanar del Rey(away) | 3-2 | Tercera División RFEF - Group 18 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2019 | Madridejos(home) | 2-1 | Tercera División RFEF - Group 18 |
| Sep 15, 2019 | Conquense(away) | 1-3 | Tercera División RFEF - Group 18 |
| Sep 8, 2019 | Azuqueca(home) | 1-3 | Tercera División RFEF - Group 18 |
| Sep 1, 2019 | Illescas(home) | 1-0 | Tercera División RFEF - Group 18 |
| Aug 24, 2019 | Tarancón(away) | 0-3 | Tercera División RFEF - Group 18 |
How many goals should we expect?
Pedroñeras score 1.2 and concede 1.8 goals per match over their last 5; Almagro score 1.0 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pedroñeras | 1.2 | 1.8 | 1 | 3/5 | 3/5 |
| Almagro | 1.0 | 2.0 | 1 | 3/5 | 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 |
|---|---|---|---|---|---|---|---|---|
| 16 | Pedroñeras | 34 | 7 | 12 | 15 | 28 | 44 | 33 |
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