Farense vs Academica: result 0-2 and analysis
Segunda LigaRegular Season - 5Kick-off on September 23, 2018 at 04:00 PM (UTC)Estádio de São Lúis, Faro
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What was the result of Farense vs Academica?
Academica won 0-2 on September 23, 2018.
Goalscorers
- 45′Hugo AlmeidaAcademica
- 69′D. DjousséAcademica
What is the recent form of both teams?
Over their last 13 matches in all competitions, Farense have 9 wins, 1 draw and 3 defeats; Academica have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2018 | Leixoes(away) | 1-2 | Segunda Liga |
| Aug 26, 2018 | SC Braga B(home) | 0-0 | Segunda Liga |
| Aug 18, 2018 | FC Porto B(away) | 3-1 | Segunda Liga |
| Aug 11, 2018 | Famalicao(home) | 1-0 | Segunda Liga |
| Jan 10, 2018 | Caldas(away) | 2-3 | Taça de Portugal |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2018 | Benfica B(home) | 1-1 | Segunda Liga |
| Aug 26, 2018 | Guimaraes B(away) | 0-0 | Segunda Liga |
| Aug 18, 2018 | Pacos Ferreira(home) | 0-1 | Segunda Liga |
| Aug 11, 2018 | Oliveirense(away) | 1-1 | Segunda Liga |
| May 12, 2018 | Varzim(away) | 0-1 | Segunda Liga |
How many goals should we expect?
Farense score 2.0 and concede 1.0 goals per match over their last 13; Academica score 0.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Farense | 2.0 | 1.0 | 6 | 7/13 | 7/13 |
| Academica | 0.9 | 0.8 | 5 | 5/15 | 4/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Farense sit 3rd in Segunda Liga (14 points from 7 matches) and Academica sit 6th (12 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Farense | 7 | 4 | 2 | 1 | 13 | 6 | 14 |
| 6 | Academica | 7 | 4 | 0 | 3 | 10 | 10 | 12 |
A question about Farense vs Academica?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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