Cuiaba vs Vitoria: result 1-3 and analysis
Serie BRegular Season - 28Kick-off on October 12, 2019 at 12:30 AM (UTC)Arena Pantanal, Cuiabá, Mato Grosso
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What was the result of Cuiaba vs Vitoria?
Vitoria won 1-3 on October 12, 2019.
Goalscorers
- 27′RodolfoCuiaba (pen.)
- 46′J. CaicedoVitoria
- 59′Everton SenaVitoria
- 88′J. CaicedoVitoria
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cuiaba have 5 wins, 6 draws and 4 defeats; Vitoria have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2019 | Atletico Goianiense(away) | 1-1 | Serie B |
| Oct 5, 2019 | Londrina(home) | 0-1 | Serie B |
| Sep 28, 2019 | Ponte Preta(away) | 0-3 | Serie B |
| Sep 21, 2019 | Oeste(home) | 2-0 | Serie B |
| Sep 14, 2019 | Parana(away) | 0-0 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2019 | Oeste(home) | 3-1 | Serie B |
| Oct 4, 2019 | Sport Recife(home) | 2-2 | Serie B |
| Sep 29, 2019 | RB Bragantino(away) | 0-2 | Serie B |
| Sep 25, 2019 | Atletico Goianiense(home) | 0-0 | Serie B |
| Sep 18, 2019 | Sao Bento(away) | 0-2 | Serie B |
What does the head-to-head say?
Across the last 1 meetings: 1 Cuiaba win(s), 0 draw(s), 0 Vitoria win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 9, 2019 | Vitoria 0-1 Cuiaba | Serie B |
How many goals should we expect?
Cuiaba score 1.1 and concede 0.9 goals per match over their last 15; Vitoria score 0.8 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cuiaba | 1.1 | 0.9 | 7 | 6/15 | 6/15 |
| Vitoria | 0.8 | 0.7 | 7 | 4/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Cuiaba | 24 | 7 | 12 | 5 | 21 | 18 | 33 |
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