Noja vs Textil Escudo: result 1-2 and analysis
Tercera División RFEF - Group 3Group 3 - 12Kick-off on December 4, 2021 at 02:30 PM (UTC)Campo La Caseta, Noja
Full time
What was the result of Noja vs Textil Escudo?
Textil Escudo won 1-2 on December 4, 2021.
Goalscorers
- 8′Pablo CanoTextil Escudo
- 15′Luis Enrique Piedralba RodriguezNoja
- 41′AbadTextil Escudo
What is the recent form of both teams?
Over their last 12 matches in all competitions, Noja have 3 wins, 4 draws and 5 defeats; Textil Escudo have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2021 | Vimenor(away) | 0-2 | Tercera División RFEF - Group 3 |
| Nov 20, 2021 | Sámano(away) | 1-1 | Tercera División RFEF - Group 3 |
| Nov 14, 2021 | Selaya(home) | 3-1 | Tercera División RFEF - Group 3 |
| Nov 7, 2021 | Gimnástica Torrelavega(away) | 1-5 | Tercera División RFEF - Group 3 |
| Oct 30, 2021 | Torina(home) | 0-2 | Tercera División RFEF - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2021 | Sámano(home) | 2-2 | Tercera División RFEF - Group 3 |
| Nov 21, 2021 | Selaya(away) | 2-0 | Tercera División RFEF - Group 3 |
| Nov 14, 2021 | Gimnástica Torrelavega(home) | 0-0 | Tercera División RFEF - Group 3 |
| Nov 7, 2021 | Torina(away) | 0-0 | Tercera División RFEF - Group 3 |
| Oct 31, 2021 | Atlético Albericia(home) | 2-1 | Tercera División RFEF - Group 3 |
How many goals should we expect?
Noja score 1.1 and concede 1.7 goals per match over their last 12; Textil Escudo score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Noja | 1.1 | 1.7 | 1 | 7/12 | 5/12 |
| Textil Escudo | 1.1 | 1.3 | 6 | 6/15 | 8/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | Noja | 34 | 4 | 7 | 23 | 22 | 68 | 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