Guadalajara vs Diocesano: result 2-0 and analysis
Segunda División RFEF - Group 5Group 5 - 10Kick-off on November 6, 2022 at 11:00 AM (UTC)Estadio Pedro Escartín, Guadalajara
Full time
What was the result of Guadalajara vs Diocesano?
Guadalajara won 2-0 on November 6, 2022.
Goalscorers
- 18′Ignacio TellecheaGuadalajara
- 22′ChekiGuadalajara
What is the recent form of both teams?
Over their last 15 matches in all competitions, Guadalajara have 8 wins, 3 draws and 4 defeats; Diocesano have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2022 | Cacereño(away) | 4-1 | Segunda División RFEF - Group 5 |
| Oct 23, 2022 | Villanovense(home) | 0-2 | Segunda División RFEF - Group 5 |
| Oct 16, 2022 | Atlético Paso(away) | 0-1 | Segunda División RFEF - Group 5 |
| Oct 9, 2022 | Melilla(home) | 0-1 | Segunda División RFEF - Group 5 |
| Oct 2, 2022 | Navalcarnero(away) | 2-0 | Segunda División RFEF - Group 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2022 | Socuéllamos(home) | 0-1 | Segunda División RFEF - Group 5 |
| Oct 22, 2022 | Leganés II(home) | 2-3 | Segunda División RFEF - Group 5 |
| Oct 16, 2022 | Cacereño(away) | 0-3 | Segunda División RFEF - Group 5 |
| Oct 12, 2022 | CF Talavera(away) | 2-1 | Segunda División RFEF - Group 5 |
| Oct 8, 2022 | Villanovense(home) | 0-0 | Segunda División RFEF - Group 5 |
How many goals should we expect?
Guadalajara score 1.5 and concede 0.8 goals per match over their last 15; Diocesano score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Guadalajara | 1.5 | 0.8 | 5 | 6/15 | 6/15 |
| Diocesano | 1.7 | 1.3 | 3 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Guadalajara | 34 | 22 | 8 | 4 | 60 | 22 | 74 |
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