Joinville vs Vasco DA Gama: result 0-2 and analysis
Serie BRegular Season - 7Kick-off on June 8, 2016 at 12:30 AM (UTC)Arena Joinville, Joinville, Santa Catarina
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What was the result of Joinville vs Vasco DA Gama?
Vasco DA Gama won 0-2 on June 8, 2016.
Goalscorers
- 23′Leandro Costa Miranda MoraesVasco DA Gama
- 73′Leandro Costa Miranda MoraesVasco DA Gama
What is the recent form of both teams?
Over their last 15 matches in all competitions, Joinville have 2 wins, 5 draws and 8 defeats; Vasco DA Gama have 11, 4 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2016 | Nautico Recife(away) | 0-2 | Serie B |
| Jun 1, 2016 | Tupi(away) | 2-1 | Serie B |
| May 28, 2016 | Londrina(home) | 1-1 | Serie B |
| May 25, 2016 | Bahia(away) | 0-1 | Serie B |
| May 21, 2016 | Criciuma(home) | 0-0 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2016 | Goias(home) | 1-0 | Serie B |
| Jun 1, 2016 | Oeste(away) | 1-1 | Serie B |
| May 28, 2016 | Bahia(home) | 4-3 | Serie B |
| May 25, 2016 | Vila Nova(away) | 2-0 | Serie B |
| May 21, 2016 | Tupi(home) | 1-0 | Serie B |
What does the head-to-head say?
Across the last 4 meetings: 0 Joinville win(s), 2 draw(s), 2 Vasco DA Gama win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 22, 2015 | Joinville 1-2 Vasco DA Gama | Serie A |
| Aug 9, 2015 | Vasco DA Gama 0-0 Joinville | Serie A |
| Sep 27, 2014 | Vasco DA Gama 2-0 Joinville | Serie B |
| May 24, 2014 | Joinville 0-0 Vasco DA Gama | Serie B |
Last archived meeting: Joinville vs Vasco DA Gama on Nov 22, 2015
How many goals should we expect?
Joinville score 0.5 and concede 1.2 goals per match over their last 15; Vasco DA Gama score 1.6 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Joinville | 0.5 | 1.2 | 3 | 6/15 | 4/15 |
| Vasco DA Gama | 1.6 | 0.5 | 9 | 6/15 | 4/15 |
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