Santa Catalina Atlético vs Poblense: result 0-4 and analysis
Tercera División RFEF - Group 11Group 11 - 17Kick-off on December 21, 2019 at 10:30 AM (UTC)Camp Municipal de Futbol Son Flor, Palma
Full time
What was the result of Santa Catalina Atlético vs Poblense?
Poblense won 0-4 on December 21, 2019.
Goalscorers
- 32′Aitor PonsPoblense
- 47′Aitor PonsPoblense (pen.)
- 61′MateuPoblense
- 86′Jaime HernándezPoblense
What is the recent form of both teams?
Over their last 15 matches in all competitions, Santa Catalina Atlético have 2 wins, 3 draws and 10 defeats; Poblense have 13, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 15, 2019 | Llosetense(away) | 1-2 | Tercera División RFEF - Group 11 |
| Dec 1, 2019 | Collerense(home) | 1-2 | Tercera División RFEF - Group 11 |
| Nov 23, 2019 | Manacor(away) | 1-2 | Tercera División RFEF - Group 11 |
| Nov 16, 2019 | Santanyí(home) | 3-2 | Tercera División RFEF - Group 11 |
| Nov 9, 2019 | Alcúdia(away) | 1-2 | Tercera División RFEF - Group 11 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 14, 2019 | Platges Calvià(home) | 3-1 | Tercera División RFEF - Group 11 |
| Dec 1, 2019 | Mallorca II(away) | 1-1 | Tercera División RFEF - Group 11 |
| Nov 23, 2019 | Andratx(home) | 3-2 | Tercera División RFEF - Group 11 |
| Nov 17, 2019 | Sóller(away) | 3-2 | Tercera División RFEF - Group 11 |
| Nov 9, 2019 | Constància(home) | 1-0 | Tercera División RFEF - Group 11 |
How many goals should we expect?
Santa Catalina Atlético score 0.9 and concede 1.7 goals per match over their last 15; Poblense score 2.2 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Santa Catalina Atlético | 0.9 | 1.7 | 1 | 9/15 | 10/15 |
| Poblense | 2.2 | 0.6 | 8 | 7/15 | 9/15 |
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