Santa Catalina Atlético vs Ibiza Islas Pitiusas: result 0-1 and analysis
Tercera División RFEF - Group 11Group 11 - 19Kick-off on January 11, 2020 at 04:00 PM (UTC)Camp Municipal de Futbol Son Flor, Palma
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What was the result of Santa Catalina Atlético vs Ibiza Islas Pitiusas?
Ibiza Islas Pitiusas won 0-1 on January 11, 2020.
Goalscorers
- 16′José María Arias JimenezIbiza Islas Pitiusas
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; Ibiza Islas Pitiusas have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 4, 2020 | Felanitx(away) | 0-3 | Tercera División RFEF - Group 11 |
| Dec 21, 2019 | Poblense(home) | 0-4 | Tercera División RFEF - Group 11 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 4, 2020 | Platges Calvià(home) | 1-0 | Tercera División RFEF - Group 11 |
| Dec 21, 2019 | Mallorca II(away) | 1-1 | Tercera División RFEF - Group 11 |
| Dec 14, 2019 | Andratx(home) | 3-1 | Tercera División RFEF - Group 11 |
| Dec 1, 2019 | Sóller(away) | 4-0 | Tercera División RFEF - Group 11 |
| Nov 24, 2019 | Constància(home) | 0-1 | Tercera División RFEF - Group 11 |
How many goals should we expect?
Santa Catalina Atlético score 0.9 and concede 1.9 goals per match over their last 15; Ibiza Islas Pitiusas score 1.9 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Santa Catalina Atlético | 0.9 | 1.9 | 1 | 9/15 | 11/15 |
| Ibiza Islas Pitiusas | 1.9 | 0.5 | 7 | 7/15 | 7/15 |
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