Vasco DA Gama vs Tupi: result 1-0 and analysis
Serie BRegular Season - 2Kick-off on May 21, 2016 at 07:00 PM (UTC)Estádio São Januário, Rio de Janeiro, Rio de Janeiro
Full time
What was the result of Vasco DA Gama vs Tupi?
Vasco DA Gama won 1-0 on May 21, 2016.
Goalscorers
- 38′LuanVasco DA Gama
Official lineup for Vasco DA Gama vs Tupi
The starting elevens fielded at kick-off.
Vasco DA Gama
- JJorge Henrique
- TThalles Lima de Conceição Penha
- YYago Pikachu
- JJulio Daniel Dos Santos Rodríguez
- MMarcelo de Mattos Terra
- AAndré Luiz Tavares
- NNenê
- RRodrigo Baldasso da Costa
- JJúlio César
- LLuan
- MM. Silva
Tupi
- TThiago Silvy Coelho
- GGiancarlo
- FFilipe Alves
- RRafael Fagundes Mariano
- JJonathan Guimarâes
- MMarcos Serrato
- BBruno Costa
- HHeitor
- RRodolfo Mol
- FFilippe Souza Pereira
- GGlaysson Leandro Rodrigues
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vasco DA Gama have 7 wins, 7 draws and 1 defeat; Tupi have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2016 | CRB(home) | 1-1 | Copa Do Brasil |
| May 14, 2016 | Sampaio Correa(away) | 4-0 | Serie B |
| May 12, 2016 | CRB(away) | 1-0 | Copa Do Brasil |
| Apr 28, 2016 | Remo(home) | 2-1 | Copa Do Brasil |
| Apr 14, 2016 | Remo(away) | 1-0 | Copa Do Brasil |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | Goias(home) | 0-1 | Serie B |
| Oct 31, 2015 | Londrina(away) | 0-0 | Serie C |
| Oct 24, 2015 | Londrina(home) | 0-0 | Serie C |
| Oct 19, 2015 | ASA(away) | 2-1 | Serie C |
| Oct 3, 2015 | ASA(home) | 2-0 | Serie C |
How many goals should we expect?
Vasco DA Gama score 1.3 and concede 0.6 goals per match over their last 15; Tupi score 0.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vasco DA Gama | 1.3 | 0.6 | 7 | 7/15 | 4/15 |
| Tupi | 0.7 | 0.7 | 8 | 3/15 | 2/15 |
Over the last 15 matches in all competitions.
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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