Chapecoense-sc vs Paysandu: result 3-2 and analysis
Serie BRegular Season - 6Kick-off on June 11, 2013 at 10:30 PM (UTC)Arena Condá, Chapecó, Santa Catarina
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What was the result of Chapecoense-sc vs Paysandu?
Chapecoense-sc won 3-2 on June 11, 2013.
Goalscorers
- 43′Bruno Rangel DominguesChapecoense-sc
- 65′Eduardo RamosPaysandu
- 74′Bruno Rangel DominguesChapecoense-sc
- 90′Pedro Iarley Lima DantasPaysandu
- 90′Bruno Rangel DominguesChapecoense-sc
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chapecoense-sc have 8 wins, 3 draws and 4 defeats; Paysandu have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2013 | ABC(home) | 5-1 | Serie B |
| Jun 4, 2013 | Figueirense(away) | 2-0 | Serie B |
| Jun 2, 2013 | São Caetano(away) | 1-0 | Serie B |
| May 29, 2013 | Oeste(home) | 1-1 | Serie B |
| May 25, 2013 | BOA(away) | 4-1 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 7, 2013 | Atletico Goianiense(away) | 0-1 | Serie B |
| Jun 4, 2013 | Parana(home) | 2-0 | Serie B |
| May 31, 2013 | America-RN(home) | 1-1 | Serie B |
| May 28, 2013 | Ceara(away) | 0-1 | Serie B |
| May 25, 2013 | ASA(home) | 1-1 | Serie B |
How many goals should we expect?
Chapecoense-sc score 1.9 and concede 0.6 goals per match over their last 15; Paysandu score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chapecoense-sc | 1.9 | 0.6 | 7 | 5/15 | 7/15 |
| Paysandu | 1.5 | 1.0 | 4 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Chapecoense-sc sit 3rd in Serie B (62 points from 38 matches) and Paysandu sit 20th (28 points from 38 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Chapecoense-sc | 38 | 18 | 8 | 12 | 52 | 35 | 62 |
| 20 | Paysandu | 38 | 5 | 13 | 20 | 36 | 52 | 28 |
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