Marchamalo vs Levante II: result 1-7 and analysis
Segunda División RFEF - Group 5Group 5 - 13Kick-off on November 27, 2021 at 03:30 PM (UTC)Campo Deportivo La Solana, Marchamalo
Full time
What was the result of Marchamalo vs Levante II?
Levante II won 1-7 on November 27, 2021.
Goalscorers
- 8′O. FarajLevante II (pen.)
- 31′E. SevikyanLevante II
- 42′O. FarajLevante II
- 57′Carlos BraunMarchamalo
- 70′O. FarajLevante II
- 83′Raúl AlcainaLevante II
- 87′Raúl AlcainaLevante II
- 90′O. FarajLevante II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Marchamalo have 2 wins, 5 draws and 8 defeats; Levante II have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2021 | Atlético Pulpileño(away) | 1-1 | Segunda División RFEF - Group 5 |
| Nov 14, 2021 | Socuéllamos(home) | 1-2 | Segunda División RFEF - Group 5 |
| Nov 6, 2021 | Alzira(away) | 0-1 | Segunda División RFEF - Group 5 |
| Oct 31, 2021 | Mar Menor(home) | 2-0 | Segunda División RFEF - Group 5 |
| Oct 24, 2021 | Intercity(away) | 0-3 | Segunda División RFEF - Group 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2021 | Toledo(home) | 0-2 | Segunda División RFEF - Group 5 |
| Nov 14, 2021 | Mancha Real(away) | 1-0 | Segunda División RFEF - Group 5 |
| Nov 7, 2021 | Águilas(home) | 2-0 | Segunda División RFEF - Group 5 |
| Oct 31, 2021 | Melilla(away) | 0-1 | Segunda División RFEF - Group 5 |
| Oct 24, 2021 | Real Murcia(home) | 1-1 | Segunda División RFEF - Group 5 |
How many goals should we expect?
Marchamalo score 0.7 and concede 1.1 goals per match over their last 15; Levante II score 0.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Marchamalo | 0.7 | 1.1 | 6 | 4/15 | 4/15 |
| Levante II | 0.9 | 0.8 | 7 | 4/15 | 3/15 |
Over the last 15 matches in all competitions.
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