Novelda vs RC Catarroja: result 1-2 and analysis
Tercera División RFEF - Group 6Group 6 - 14Kick-off on November 24, 2019 at 04:00 PM (UTC)Estadio La Magdalena, Novelda
Full time
What was the result of Novelda vs RC Catarroja?
RC Catarroja won 1-2 on November 24, 2019.
Goalscorers
- 13′L. RivoiraNovelda
- 64′Carlos Monrabal NietoRC Catarroja
- 72′Juan Ramón García MartínezRC Catarroja
What is the recent form of both teams?
Over their last 13 matches in all competitions, Novelda have 6 wins, 3 draws and 4 defeats; RC Catarroja have 5, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Paterna(away) | 2-2 | Tercera División RFEF - Group 6 |
| Nov 10, 2019 | Vilamarxant(home) | 1-0 | Tercera División RFEF - Group 6 |
| Nov 3, 2019 | Roda(away) | 1-2 | Tercera División RFEF - Group 6 |
| Oct 27, 2019 | Atzeneta(home) | 2-2 | Tercera División RFEF - Group 6 |
| Oct 19, 2019 | Saguntino(away) | 2-1 | Tercera División RFEF - Group 6 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Alzira(home) | 1-0 | Tercera División RFEF - Group 6 |
| Nov 9, 2019 | Paterna(away) | 1-1 | Tercera División RFEF - Group 6 |
| Nov 1, 2019 | Silla(home) | 7-2 | Tercera División RFEF - Group 6 |
| Oct 27, 2019 | Vilamarxant(away) | 1-3 | Tercera División RFEF - Group 6 |
| Oct 20, 2019 | Eldense(home) | 1-0 | Tercera División RFEF - Group 6 |
How many goals should we expect?
Novelda score 1.2 and concede 1.4 goals per match over their last 13; RC Catarroja score 1.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Novelda | 1.2 | 1.4 | 5 | 5/13 | 8/13 |
| RC Catarroja | 1.4 | 1.5 | 3 | 7/13 | 7/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | RC Catarroja | 34 | 2 | 13 | 19 | 27 | 55 | 19 |
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