Navalcarnero vs Diocesano: result 1-3 and analysis
Segunda División RFEF - Group 5Group 5 - 3Kick-off on September 18, 2022 at 03:00 PM (UTC)Campo de San Francisco, Reinosa
Full time
What was the result of Navalcarnero vs Diocesano?
Diocesano won 1-3 on September 18, 2022.
Goalscorers
- 40′Juanjo ChavalésDiocesano
- 43′Luis LaraNavalcarnero
- 49′PituDiocesano
- 84′SahuquilloDiocesano
What is the recent form of both teams?
Over their last 15 matches in all competitions, Navalcarnero have 6 wins, 2 draws and 7 defeats; Diocesano have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2022 | Cacereño(away) | 0-1 | Segunda División RFEF - Group 5 |
| Sep 4, 2022 | Villanovense(home) | 1-0 | Segunda División RFEF - Group 5 |
| Aug 20, 2022 | Rayo Vallecano II(home) | 0-0 | Friendlies Clubs |
| Aug 17, 2022 | Galapagar(home) | 1-0 | Friendlies Clubs |
| Aug 10, 2022 | Getafe II(away) | 4-2 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2022 | Alcorcón II(home) | 1-1 | Segunda División RFEF - Group 5 |
| Apr 24, 2022 | Villafranca(away) | 1-1 | Tercera División RFEF - Group 14 |
| Apr 14, 2022 | Azuaga(home) | 1-2 | Tercera División RFEF - Group 14 |
| Apr 10, 2022 | Calamonte(away) | 3-1 | Tercera División RFEF - Group 14 |
| Apr 3, 2022 | Trujillo(home) | 3-1 | Tercera División RFEF - Group 14 |
How many goals should we expect?
Navalcarnero score 1.1 and concede 1.0 goals per match over their last 15; Diocesano score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Navalcarnero | 1.1 | 1.0 | 5 | 6/15 | 7/15 |
| Diocesano | 1.9 | 1.1 | 4 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Navalcarnero | 34 | 11 | 10 | 13 | 40 | 42 | 43 |
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