Bahia vs Parana: result 1-0 and analysis
Serie BRegular Season - 4Kick-off on May 30, 2015 at 12:50 AM (UTC)Arena Fonte Nova, Salvador, Bahia
Full time
What was the result of Bahia vs Parana?
Bahia won 1-0 on May 30, 2015.
Goalscorers
- 20′TitiBahia
Official lineup for Bahia vs Parana
The starting elevens fielded at kick-off.
Bahia
- 9Zé Roberto
- 11Léo Gamalho
- 5W. Pittoni
- 7Tiago Real do Prado
- 8Eduardo
- 10Rômulo
- 2Tony
- 3Róbson
- 4Titi
- 6Marlon
- 1Douglas Pires
Parana
- 11Henrique
- 5Jean Irmer
- 6Micerlânio Fernandes da Silva
- 7Washington Santana
- 8Edson Correia de Araujo
- 9Marcos dos Santos Camargo
- 10Rafael Costa
- 2Danilo Báia
- 3José Roberto Lucini
- 4Léo Coelho
- 1Murilo Prates
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bahia have 4 wins, 2 draws and 9 defeats; Parana have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2015 | CRB(away) | 3-0 | Serie B |
| May 15, 2015 | Mogi Mirim(home) | 4-1 | Serie B |
| May 9, 2015 | America Mineiro(away) | 1-1 | Serie B |
| Dec 7, 2014 | Coritiba(away) | 2-3 | Serie A |
| Nov 30, 2014 | Gremio(home) | 1-0 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2015 | BOA(home) | 1-1 | Serie B |
| May 15, 2015 | Santa Cruz(away) | 1-4 | Serie B |
| May 9, 2015 | Ceara(home) | 1-0 | Serie B |
| Nov 29, 2014 | America-RN(home) | 4-1 | Serie B |
| Nov 21, 2014 | RB Bragantino(away) | 1-1 | Serie B |
How many goals should we expect?
Bahia score 1.1 and concede 1.3 goals per match over their last 15; Parana score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bahia | 1.1 | 1.3 | 3 | 7/15 | 7/15 |
| Parana | 1.3 | 1.1 | 5 | 9/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Bahia vs Parana?
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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