Conquense vs Albacete II: result 0-2 and analysis
Tercera División RFEF - Group 18Group 18 - 15Kick-off on November 24, 2019 at 11:00 AM (UTC)Estadio Municipal La Fuensanta, Cuenca
Full time
What was the result of Conquense vs Albacete II?
Albacete II won 0-2 on November 24, 2019.
Goalscorers
- 15′Luis PobleteAlbacete II
- 81′Dani GarcíaAlbacete II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Conquense have 8 wins, 3 draws and 4 defeats; Albacete II have 3, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Almansa(away) | 1-0 | Tercera División RFEF - Group 18 |
| Nov 10, 2019 | Guadalajara(home) | 1-0 | Tercera División RFEF - Group 18 |
| Nov 2, 2019 | Villacañas(away) | 2-0 | Tercera División RFEF - Group 18 |
| Oct 27, 2019 | Manchego(home) | 3-1 | Tercera División RFEF - Group 18 |
| Oct 20, 2019 | Torrijos(away) | 1-2 | Tercera División RFEF - Group 18 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Azuqueca(home) | 6-2 | Tercera División RFEF - Group 18 |
| Nov 10, 2019 | Almagro(away) | 3-1 | Tercera División RFEF - Group 18 |
| Nov 3, 2019 | Tarancón(home) | 1-1 | Tercera División RFEF - Group 18 |
| Oct 27, 2019 | Atlético Ibañés(away) | 1-2 | Tercera División RFEF - Group 18 |
| Oct 20, 2019 | Toledo(home) | 2-1 | Tercera División RFEF - Group 18 |
How many goals should we expect?
Conquense score 1.5 and concede 1.1 goals per match over their last 15; Albacete II score 1.4 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Conquense | 1.5 | 1.1 | 5 | 8/15 | 8/15 |
| Albacete II | 1.4 | 1.8 | 0 | 11/14 | 9/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Albacete II | 34 | 17 | 13 | 4 | 49 | 17 | 64 |
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