Mallorca II vs Ferriolense: result 1-0 and analysis
Tercera División RFEF - Group 11Group 11 - 19Kick-off on January 12, 2020 at 11:00 AM (UTC)Estadi Son Bibiloni (Antonio Asensio), Palma de Mallorca
Full time
What was the result of Mallorca II vs Ferriolense?
Mallorca II won 1-0 on January 12, 2020.
Goalscorers
- 50′Javier AlbínMallorca II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mallorca II have 8 wins, 6 draws and 1 defeats; Ferriolense have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 6, 2020 | San Rafael(away) | 3-3 | Tercera División RFEF - Group 11 |
| Dec 21, 2019 | Ibiza Islas Pitiusas(home) | 1-1 | Tercera División RFEF - Group 11 |
| Dec 14, 2019 | Felanitx(away) | 0-1 | Tercera División RFEF - Group 11 |
| Dec 1, 2019 | Poblense(home) | 1-1 | Tercera División RFEF - Group 11 |
| Nov 23, 2019 | Llosetense(away) | 0-0 | Tercera División RFEF - Group 11 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 4, 2020 | Andratx(home) | 0-2 | Tercera División RFEF - Group 11 |
| Dec 20, 2019 | Sóller(home) | 3-2 | Tercera División RFEF - Group 11 |
| Dec 13, 2019 | Constància(home) | 1-0 | Tercera División RFEF - Group 11 |
| Nov 30, 2019 | Binissalem(away) | 0-3 | Tercera División RFEF - Group 11 |
| Nov 23, 2019 | San Rafael(away) | 0-3 | Tercera División RFEF - Group 11 |
How many goals should we expect?
Mallorca II score 1.9 and concede 0.8 goals per match over their last 15; Ferriolense score 1.2 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mallorca II | 1.9 | 0.8 | 6 | 8/15 | 8/15 |
| Ferriolense | 1.2 | 1.9 | 3 | 7/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Mallorca II | 34 | 26 | 6 | 2 | 105 | 22 | 84 |
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