Cartes vs Barreda: result 1-2 and analysis
Tercera División RFEF - Group 3Group 3 - 16Kick-off on November 30, 2019 at 02:30 PM (UTC)Campo de Fútbol El Ansar, Cartes
Full time
What was the result of Cartes vs Barreda?
Barreda won 1-2 on November 30, 2019.
Goalscorers
- 21′Javi GutiérrezCartes
- 38′Manu PuenteBarreda
- 89′Daniel González RevueltaBarreda
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cartes have 3 wins, 4 draws and 8 defeats; Barreda have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Torina(away) | 1-1 | Tercera División RFEF - Group 3 |
| Nov 16, 2019 | Escobedo(home) | 2-5 | Tercera División RFEF - Group 3 |
| Nov 9, 2019 | Guarnizo(away) | 1-2 | Tercera División RFEF - Group 3 |
| Nov 1, 2019 | Selaya(home) | 1-1 | Tercera División RFEF - Group 3 |
| Oct 27, 2019 | Vimenor(away) | 0-1 | Tercera División RFEF - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2019 | Solares(home) | 2-1 | Tercera División RFEF - Group 3 |
| Nov 16, 2019 | Atlético Albericia(away) | 1-1 | Tercera División RFEF - Group 3 |
| Nov 9, 2019 | Racing Santander II(home) | 0-1 | Tercera División RFEF - Group 3 |
| Nov 2, 2019 | Sámano(away) | 1-0 | Tercera División RFEF - Group 3 |
| Oct 26, 2019 | Barquereño(home) | 2-0 | Tercera División RFEF - Group 3 |
How many goals should we expect?
Cartes score 0.9 and concede 1.7 goals per match over their last 15; Barreda score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cartes | 0.9 | 1.7 | 2 | 9/15 | 7/15 |
| Barreda | 1.1 | 1.1 | 6 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Cartes | 34 | 6 | 10 | 18 | 28 | 52 | 28 |
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