U. Madeira vs Academica: result 3-1 and analysis
Primeira LigaRegular Season - 32Kick-off on May 1, 2016 at 07:30 PM (UTC)Complexo Desportivo Cf União - Campo 1, Ilha da Madeira
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What was the result of U. Madeira vs Academica?
U. Madeira won 3-1 on May 1, 2016.
Goalscorers
- 42′Élio Bruno Teixeira MartinsU. Madeira
- 62′Élio Bruno Teixeira MartinsU. Madeira
- 67′Fernando Jose Ribeiro AlexandreAcademica
- 90′Gian MartinsU. Madeira
What is the recent form of both teams?
Over their last 15 matches in all competitions, U. Madeira have 2 wins, 3 draws and 10 defeats; Academica have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2016 | Sporting CP(away) | 0-2 | Primeira Liga |
| Apr 17, 2016 | Pacos Ferreira(home) | 3-4 | Primeira Liga |
| Apr 10, 2016 | Tondela(away) | 0-1 | Primeira Liga |
| Apr 3, 2016 | Vitoria Setubal(home) | 2-2 | Primeira Liga |
| Mar 20, 2016 | SC Braga(away) | 0-2 | Primeira Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2016 | FC Porto(home) | 1-2 | Primeira Liga |
| Apr 17, 2016 | Belenenses(away) | 1-1 | Primeira Liga |
| Apr 9, 2016 | Benfica(home) | 1-2 | Primeira Liga |
| Apr 2, 2016 | Arouca(away) | 2-3 | Primeira Liga |
| Mar 20, 2016 | Estoril(home) | 0-3 | Primeira Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 U. Madeira win(s), 0 draw(s), 1 Academica win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 2, 2016 | Academica 3-1 U. Madeira | Primeira Liga |
Last archived meeting: Academica vs U. Madeira on Jan 2, 2016
How many goals should we expect?
U. Madeira score 0.9 and concede 1.7 goals per match over their last 15; Academica score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| U. Madeira | 0.9 | 1.7 | 3 | 5/15 | 6/15 |
| Academica | 1.1 | 1.7 | 2 | 10/15 | 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