SC Covilha vs U. Madeira: result 1-1 and analysis
Segunda LigaRegular Season - 7Kick-off on September 17, 2016 at 03:00 PM (UTC)Estádio Municipal José Santos Pinto, Covilhã
Full time
What was the result of SC Covilha vs U. Madeira?
SC Covilha and U. Madeira drew 1-1 on September 17, 2016.
Goalscorers
- 51′Cristian PondeSC Covilha
- 62′BreitnerU. Madeira
What is the recent form of both teams?
Over their last 5 matches in all competitions, SC Covilha have 0 wins, 1 draw and 4 defeats; U. Madeira have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2016 | Portimonense(away) | 1-2 | Segunda Liga |
| Aug 24, 2016 | SC Braga B(home) | 1-3 | Segunda Liga |
| Aug 20, 2016 | Olhanense(away) | 0-0 | Segunda Liga |
| Aug 14, 2016 | Sporting CP B(home) | 1-2 | Segunda Liga |
| Aug 6, 2016 | Penafiel(away) | 0-1 | Segunda Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Olhanense(home) | 3-2 | Segunda Liga |
| Aug 28, 2016 | Academica(away) | 0-1 | Segunda Liga |
| Aug 24, 2016 | Penafiel(home) | 0-0 | Segunda Liga |
| Aug 20, 2016 | Portimonense(away) | 0-2 | Segunda Liga |
| Aug 13, 2016 | SC Braga B(home) | 1-1 | Segunda Liga |
How many goals should we expect?
SC Covilha score 0.6 and concede 1.6 goals per match over their last 5; U. Madeira score 1.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SC Covilha | 0.6 | 1.6 | 1 | 3/5 | 3/5 |
| U. Madeira | 1.1 | 1.6 | 2 | 7/15 | 6/15 |
Over the last 5 matches in all competitions.
A question about SC Covilha vs U. Madeira?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy