U. Madeira vs SC Covilha: result 1-1 and analysis
Segunda LigaRegular Season - 28Kick-off on February 19, 2017 at 03:00 PM (UTC)Complexo Desportivo Cf União - Campo 1, Ilha da Madeira
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What was the result of U. Madeira vs SC Covilha?
U. Madeira and SC Covilha drew 1-1 on February 19, 2017.
Goalscorers
- 13′Filipe ChabySC Covilha
- 40′Rodrigo HenriqueU. Madeira
What is the recent form of both teams?
Over their last 15 matches in all competitions, U. Madeira have 6 wins, 3 draws and 6 defeats; SC Covilha have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 15, 2017 | Olhanense(away) | 1-1 | Segunda Liga |
| Feb 11, 2017 | Academica(home) | 2-1 | Segunda Liga |
| Feb 5, 2017 | Penafiel(away) | 1-3 | Segunda Liga |
| Jan 28, 2017 | Portimonense(home) | 3-1 | Segunda Liga |
| Jan 21, 2017 | SC Braga B(away) | 1-3 | Segunda Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 15, 2017 | Academica(away) | 0-2 | Segunda Liga |
| Feb 4, 2017 | SC Braga B(away) | 1-0 | Segunda Liga |
| Jan 28, 2017 | Olhanense(home) | 3-0 | Segunda Liga |
| Jan 23, 2017 | Sporting CP B(away) | 1-1 | Segunda Liga |
| Jan 18, 2017 | Guimaraes(home) | 0-1 | Taça de Portugal |
What does the head-to-head say?
Across the last 1 meetings: 0 U. Madeira win(s), 1 draw(s), 0 SC Covilha win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2016 | SC Covilha 1-1 U. Madeira | Segunda Liga |
Last archived meeting: SC Covilha vs U. Madeira on Sep 17, 2016
How many goals should we expect?
U. Madeira score 1.3 and concede 1.4 goals per match over their last 15; SC Covilha score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| U. Madeira | 1.3 | 1.4 | 3 | 11/15 | 9/15 |
| SC Covilha | 1.1 | 0.8 | 7 | 5/15 | 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