Fluminense vs Santa Cruz: result 2-0 and analysis
Copa Do Brasil4th RoundKick-off on April 18, 2019 at 12:30 AM (UTC)Estadio Jornalista Mário Filho (Maracanã), Rio de Janeiro, Rio de Janeiro
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What was the result of Fluminense vs Santa Cruz?
Fluminense won 2-0 on April 18, 2019.
Goalscorers
- 19′GilbertoFluminense
- 30′LucianoFluminense
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fluminense have 6 wins, 4 draws and 5 defeats; Santa Cruz have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2019 | Luverdense(home) | 2-0 | Copa Do Brasil |
| Apr 3, 2019 | Luverdense(away) | 0-0 | Copa Do Brasil |
| Mar 21, 2019 | Antofagasta(away) | 2-1 | CONMEBOL Sudamericana |
| Mar 7, 2019 | Ypiranga-RS(home) | 3-0 | Copa Do Brasil |
| Feb 27, 2019 | Antofagasta(home) | 0-0 | CONMEBOL Sudamericana |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2019 | ABC(home) | 3-0 | Copa Do Brasil |
| Apr 4, 2019 | ABC(away) | 0-1 | Copa Do Brasil |
| Feb 21, 2019 | Nautico Recife(home) | 1-1 | Copa Do Brasil |
| Feb 15, 2019 | Sinop Fc(away) | 2-1 | Copa Do Brasil |
| Aug 26, 2018 | Operario-PR(away) | 0-3 | Serie C |
What does the head-to-head say?
Across the last 2 meetings: 1 Fluminense win(s), 1 draw(s), 0 Santa Cruz win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 21, 2016 | Santa Cruz 0-1 Fluminense | Serie A |
| May 21, 2016 | Fluminense 2-2 Santa Cruz | Serie A |
Last archived meeting: Santa Cruz vs Fluminense on Aug 21, 2016
How many goals should we expect?
Fluminense score 0.9 and concede 0.8 goals per match over their last 15; Santa Cruz score 1.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fluminense | 0.9 | 0.8 | 9 | 1/15 | 5/15 |
| Santa Cruz | 1.3 | 0.8 | 7 | 4/15 | 6/15 |
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