ASA vs Paysandu: result 1-0 and analysis
Serie CRegular Season - 12Kick-off on August 24, 2014 at 10:00 PM (UTC)Estádio Municipal Coaracy da Mata Fonseca, Arapiraca, Alagoas
Full time
What was the result of ASA vs Paysandu?
ASA won 1-0 on August 24, 2014.
Goalscorers
- 66′Wanderson De MacedoASA
What is the recent form of both teams?
Over their last 15 matches in all competitions, ASA have 6 wins, 3 draws and 6 defeats; Paysandu have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 17, 2014 | Treze(home) | 3-0 | Serie C |
| Aug 12, 2014 | CRB(away) | 1-2 | Serie C |
| Aug 2, 2014 | Fortaleza EC(home) | 1-3 | Serie C |
| Jul 27, 2014 | CRAC(away) | 0-0 | Serie C |
| Jul 20, 2014 | Botafogo PB(home) | 1-1 | Serie C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2014 | CRB(home) | 3-0 | Serie C |
| Aug 10, 2014 | Águia de Marabá(away) | 1-1 | Serie C |
| Aug 3, 2014 | CRAC(home) | 0-0 | Serie C |
| Jul 27, 2014 | Treze(away) | 0-3 | Serie C |
| Jul 20, 2014 | Cuiaba(away) | 2-3 | Serie C |
What does the head-to-head say?
Across the last 3 meetings: 0 ASA win(s), 2 draw(s), 1 Paysandu win(s).
| Date | Score | Competition |
|---|---|---|
| May 10, 2014 | Paysandu 1-0 ASA | Serie C |
| Sep 7, 2013 | ASA 1-1 Paysandu | Serie B |
| May 25, 2013 | Paysandu 1-1 ASA | Serie B |
How many goals should we expect?
ASA score 1.1 and concede 1.1 goals per match over their last 15; Paysandu score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ASA | 1.1 | 1.1 | 5 | 7/15 | 6/15 |
| Paysandu | 0.9 | 1.0 | 7 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Paysandu | 18 | 9 | 2 | 7 | 26 | 26 | 29 |
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