Figueirense vs CRB: result 3-1 and analysis
Serie BRegular Season - 32Kick-off on October 27, 2017 at 09:15 PM (UTC)Estádio Orlando Scarpelli, Florianópolis, Santa Catarina
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What was the result of Figueirense vs CRB?
Figueirense won 3-1 on October 27, 2017.
Goalscorers
- 45′João PauloFigueirense (pen.)
- 49′Jorge HenriqueFigueirense
- 71′NaylhorFigueirense
- 74′AdalbertoCRB
What is the recent form of both teams?
Over their last 15 matches in all competitions, Figueirense have 5 wins, 5 draws and 5 defeats; CRB have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2017 | Ceara(away) | 2-2 | Serie B |
| Oct 17, 2017 | Londrina(away) | 0-1 | Serie B |
| Oct 14, 2017 | Santa Cruz(home) | 2-1 | Serie B |
| Oct 7, 2017 | Luverdense(away) | 0-3 | Serie B |
| Sep 29, 2017 | Parana(home) | 1-0 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2017 | BOA(home) | 1-1 | Serie B |
| Oct 17, 2017 | Nautico Recife(home) | 2-2 | Serie B |
| Oct 13, 2017 | Paysandu(away) | 0-0 | Serie B |
| Oct 6, 2017 | ABC(home) | 1-0 | Serie B |
| Sep 29, 2017 | Londrina(away) | 1-4 | Serie B |
What does the head-to-head say?
Across the last 1 meetings: 0 Figueirense win(s), 0 draw(s), 1 CRB win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 12, 2017 | CRB 2-1 Figueirense | Serie B |
How many goals should we expect?
Figueirense score 1.0 and concede 1.3 goals per match over their last 15; CRB score 0.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Figueirense | 1.0 | 1.3 | 3 | 7/15 | 6/15 |
| CRB | 0.9 | 1.8 | 2 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | CRB | 23 | 10 | 6 | 7 | 34 | 32 | 36 |
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