Cacereño vs Moralo: result 1-0 and analysis
Tercera División RFEF - Group 14Group 14 - 12Kick-off on November 3, 2019 at 03:00 PM (UTC)Estadio Príncipe Felipe, Cáceres
Full time
What was the result of Cacereño vs Moralo?
Cacereño won 1-0 on November 3, 2019.
Goalscorers
- 18′Alberto DelgadoCacereño
What is the recent form of both teams?
Over their last 11 matches in all competitions, Cacereño have 6 wins, 3 draws and 2 defeats; Moralo have 4, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2019 | Valdivia(away) | 4-1 | Tercera División RFEF - Group 14 |
| Oct 27, 2019 | Miajadas(away) | 2-0 | Tercera División RFEF - Group 14 |
| Oct 20, 2019 | Azuaga(home) | 6-0 | Tercera División RFEF - Group 14 |
| Oct 13, 2019 | Extremadura UD II(away) | 1-1 | Tercera División RFEF - Group 14 |
| Oct 6, 2019 | Olivenza(home) | 4-0 | Tercera División RFEF - Group 14 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2019 | Miajadas(home) | 1-2 | Tercera División RFEF - Group 14 |
| Oct 27, 2019 | Azuaga(away) | 0-1 | Tercera División RFEF - Group 14 |
| Oct 20, 2019 | Extremadura UD II(home) | 1-1 | Tercera División RFEF - Group 14 |
| Oct 13, 2019 | Olivenza(away) | 1-1 | Tercera División RFEF - Group 14 |
| Oct 6, 2019 | Villanovense(home) | 1-1 | Tercera División RFEF - Group 14 |
How many goals should we expect?
Cacereño score 2.3 and concede 0.8 goals per match over their last 11; Moralo score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cacereño | 2.3 | 0.8 | 3 | 7/11 | 6/11 |
| Moralo | 1.1 | 0.8 | 4 | 6/11 | 2/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Moralo | 34 | 17 | 11 | 6 | 54 | 32 | 62 |
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