Atlético Pulpileño vs Melilla: result 1-3 and analysis
Segunda División RFEF - Group 5Group 5 - 8Kick-off on October 24, 2021 at 10:00 AM (UTC)Estadio San Miguel, Pulpí
Full time
What was the result of Atlético Pulpileño vs Melilla?
Melilla won 1-3 on October 24, 2021.
Goalscorers
- 6′Iker HernándezMelilla
- 52′Borjita GarcíaAtlético Pulpileño
- 57′Iker HernándezMelilla
- 89′F. NúñezMelilla
What is the recent form of both teams?
Over their last 15 matches in all competitions, Atlético Pulpileño have 8 wins, 3 draws and 4 defeats; Melilla have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2021 | Real Murcia(away) | 1-1 | Segunda División RFEF - Group 5 |
| Oct 10, 2021 | Hércules(home) | 0-4 | Segunda División RFEF - Group 5 |
| Oct 3, 2021 | Eldense(away) | 3-0 | Segunda División RFEF - Group 5 |
| Sep 26, 2021 | La Nucía(home) | 1-4 | Segunda División RFEF - Group 5 |
| Sep 19, 2021 | El Ejido(away) | 1-0 | Segunda División RFEF - Group 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2021 | Socuéllamos(home) | 3-1 | Segunda División RFEF - Group 5 |
| Oct 10, 2021 | Alzira(away) | 1-0 | Segunda División RFEF - Group 5 |
| Oct 6, 2021 | Yeclano(away) | 2-3 | Copa Federacion |
| Oct 3, 2021 | Mar Menor(home) | 2-3 | Segunda División RFEF - Group 5 |
| Sep 26, 2021 | Intercity(away) | 0-0 | Segunda División RFEF - Group 5 |
How many goals should we expect?
Atlético Pulpileño score 1.0 and concede 0.9 goals per match over their last 15; Melilla score 1.4 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atlético Pulpileño | 1.0 | 0.9 | 9 | 3/15 | 4/15 |
| Melilla | 1.4 | 1.0 | 8 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Melilla | 34 | 11 | 11 | 12 | 41 | 42 | 44 |
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