Calamonte vs Miajadas: result 2-1 and analysis
Tercera División RFEF - Group 14Group 14 - 13Kick-off on November 9, 2019 at 04:00 PM (UTC)Municipal Calamonteño, Calamonte
Full time
What was the result of Calamonte vs Miajadas?
Calamonte won 2-1 on November 9, 2019.
Goalscorers
- 2′ParraCalamonte
- 24′Javier RamiroMiajadas
- 88′16330Calamonte
What is the recent form of both teams?
Over their last 12 matches in all competitions, Calamonte have 2 wins, 4 draws and 6 defeats; Miajadas have 4, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Azuaga(away) | 1-4 | Tercera División RFEF - Group 14 |
| Nov 1, 2019 | Extremadura UD II(home) | 0-2 | Tercera División RFEF - Group 14 |
| Oct 27, 2019 | Olivenza(away) | 0-1 | Tercera División RFEF - Group 14 |
| Oct 20, 2019 | Villanovense(home) | 2-1 | Tercera División RFEF - Group 14 |
| Oct 13, 2019 | Diocesano(away) | 2-2 | Tercera División RFEF - Group 14 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | CD Coria(home) | 1-4 | Tercera División RFEF - Group 14 |
| Nov 1, 2019 | Moralo(away) | 2-1 | Tercera División RFEF - Group 14 |
| Oct 27, 2019 | Cacereño(home) | 0-2 | Tercera División RFEF - Group 14 |
| Oct 20, 2019 | Valdivia(away) | 0-0 | Tercera División RFEF - Group 14 |
| Oct 13, 2019 | Azuaga(away) | 1-5 | Tercera División RFEF - Group 14 |
How many goals should we expect?
Calamonte score 0.9 and concede 1.6 goals per match over their last 12; Miajadas score 1.0 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Calamonte | 0.9 | 1.6 | 2 | 7/12 | 7/12 |
| Miajadas | 1.0 | 1.9 | 3 | 6/12 | 7/12 |
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 | Calamonte | 34 | 3 | 13 | 18 | 25 | 47 | 22 |
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