Corinthians vs Avenida: result 4-2 and analysis
Copa Do Brasil2nd RoundKick-off on February 21, 2019 at 12:30 AM (UTC)Maracanã, Rio de Janeiro
Full time
What was the result of Corinthians vs Avenida?
Corinthians won 4-2 on February 21, 2019.
Goalscorers
- 4′Yuri BigodeAvenida
- 10′TitoAvenida
- 45′HenriqueCorinthians
- 77′Danilo AvelarCorinthians
- 88′Júnior UrsoCorinthians
- 90′GustavoCorinthians
Official lineup for Corinthians vs Avenida
The starting elevens fielded at kick-off.
Corinthians
4-1-4-1- 19Gustavo
- 25Clayson
- 7J. Sornoza
- 30Júnior Urso
- 38Pedrinho
- 15Ralf
- 35Danilo Avelar
- 3Henrique
- 4Manoel
- 23Fágner
- 12Cássio
Avenida
4-5-1- 9Flávio Torres
- 77Tito
- 8Felipe Manoel
- 5Carlos César Matheus
- 16Jô
- 94Welder
- 91Márcio
- 4Claudinho
- 17Yuri Bigode
- 13Felipe Cordeiro De Araujo
- 1Fabiano Heves
What is the recent form of both teams?
Over their last 15 matches in all competitions, Corinthians have 2 wins, 5 draws and 8 defeats; Avenida have 0, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 14, 2019 | Racing Club(home) | 1-1 | CONMEBOL Sudamericana |
| Feb 7, 2019 | Ferroviario(away) | 2-2 | Copa Do Brasil |
| Dec 2, 2018 | Gremio(away) | 0-1 | Serie A |
| Nov 25, 2018 | Chapecoense-sc(home) | 0-0 | Serie A |
| Nov 21, 2018 | Atletico Paranaense(away) | 0-1 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 13, 2019 | Guarani Campinas(home) | 0-0 | Copa Do Brasil |
How many goals should we expect?
Corinthians score 0.7 and concede 1.2 goals per match over their last 15; Avenida score 0.0 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Corinthians | 0.7 | 1.2 | 2 | 6/15 | 5/15 |
| Avenida | 0.0 | 0.0 | 1 | 0/1 | 0/1 |
Over the last 15 matches in all competitions.
A question about Corinthians vs Avenida?
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