Caldense vs RB Brasil: result 2-0 and analysis
Serie DRegular Season - 5Kick-off on June 17, 2017 at 07:00 PM (UTC)Estádio Dr. Ronaldo Junqueira, Poços de Caldas, Minas Gerais
Full time
What was the result of Caldense vs RB Brasil?
Caldense won 2-0 on June 17, 2017.
Goalscorers
- 5′Luiz Eduardo Azevedo Dantas OliveiraCaldense
- 84′Luiz Eduardo Azevedo Dantas OliveiraCaldense
What is the recent form of both teams?
Over their last 15 matches in all competitions, Caldense have 5 wins, 5 draws and 5 defeats; RB Brasil have 4, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2017 | Espírito Santo(home) | 0-2 | Serie D |
| Jun 3, 2017 | Espírito Santo(away) | 1-0 | Serie D |
| May 27, 2017 | RB Brasil(away) | 1-3 | Serie D |
| May 21, 2017 | Boavista SC(home) | 1-3 | Serie D |
| Jul 31, 2016 | Anápolis(home) | 1-1 | Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2017 | Boavista SC(away) | 2-0 | Serie D |
| Jun 3, 2017 | Boavista SC(home) | 0-1 | Serie D |
| May 27, 2017 | Caldense(home) | 3-1 | Serie D |
| May 21, 2017 | Espírito Santo(away) | 0-0 | Serie D |
| Apr 28, 2016 | America Mineiro(away) | 2-3 | Copa Do Brasil |
What does the head-to-head say?
In the last meeting: 0 Caldense wins, 0 draws, 1 RB Brasil win.
| Date | Score | Competition |
|---|---|---|
| May 27, 2017 | RB Brasil 3-1 Caldense | Serie D |
Last archived meeting: RB Brasil vs Caldense on May 27, 2017
How many goals should we expect?
Caldense score 0.9 and concede 1.0 goals per match over their last 15; RB Brasil score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Caldense | 0.9 | 1.0 | 6 | 7/15 | 3/15 |
| RB Brasil | 0.9 | 1.0 | 6 | 5/14 | 5/14 |
Over the last 15 matches in all competitions.
A question about Caldense vs RB Brasil?
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