Badajoz II vs Moralo: result 1-2 and analysis
Tercera División RFEF - Group 14Group 14 - 8Kick-off on October 31, 2021 at 05:00 PM (UTC)Estadio Municipal Nuevo Vivero, Badajoz
Full time
What was the result of Badajoz II vs Moralo?
Moralo won 1-2 on October 31, 2021.
Goalscorers
- 59′JuanpeMoralo
- 68′Abraham RodríguezBadajoz II (pen.)
- 90′JuanpeMoralo
What is the recent form of both teams?
Over their last 7 matches in all competitions, Badajoz II have 0 wins, 4 draws and 3 defeats; Moralo have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2021 | Miajadas(away) | 1-1 | Tercera División RFEF - Group 14 |
| Oct 17, 2021 | Olivenza(home) | 0-2 | Tercera División RFEF - Group 14 |
| Oct 10, 2021 | Diocesano(away) | 2-3 | Tercera División RFEF - Group 14 |
| Oct 3, 2021 | Llerenense(home) | 2-4 | Tercera División RFEF - Group 14 |
| Sep 26, 2021 | Villafranca(away) | 0-0 | Tercera División RFEF - Group 14 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2021 | Guijuelo(away) | 0-1 | Copa Federacion |
| Oct 23, 2021 | Trujillo(home) | 1-2 | Tercera División RFEF - Group 14 |
| Oct 17, 2021 | Miajadas(away) | 1-2 | Tercera División RFEF - Group 14 |
| Oct 13, 2021 | Mérida AD(away) | 2-0 | Copa Federacion |
| Oct 10, 2021 | Plasencia(home) | 2-0 | Tercera División RFEF - Group 14 |
How many goals should we expect?
Badajoz II score 1.0 and concede 1.7 goals per match over their last 7; Moralo score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Badajoz II | 1.0 | 1.7 | 1 | 5/7 | 2/7 |
| Moralo | 1.5 | 1.0 | 6 | 5/15 | 7/15 |
Over the last 7 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