Bahia vs Luverdense: result 1-0 and analysis
Serie BRegular Season - 9Kick-off on June 27, 2015 at 07:30 PM (UTC)Arena Fonte Nova, Salvador, Bahia
Full time
What was the result of Bahia vs Luverdense?
Bahia won 1-0 on June 27, 2015.
Goalscorers
- 87′João LeonardoBahia
Official lineup for Bahia vs Luverdense
The starting elevens fielded at kick-off.
Bahia
- CCarlos Alberto Guimarães Filho
- MM. Biancucchi
- KKieza
- WW. Pittoni
- SSouza
- TTiago Real do Prado
- TTiti
- TTony
- MMarlon
- RRóbson
- DDouglas Pires
Luverdense
- OOsman
- AAlípio
- DDiego Rosa
- LLuiz Philipe Lima de Oliveira
- JJean Michel de Souza Bertasso
- RRodrigo Muttoni
- PPaulinho
- LLázaro
- DDiogo Silva
- EEverton
- EEdson Kõlln
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bahia have 6 wins, 3 draws and 6 defeats; Luverdense have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2015 | Sampaio Correa(away) | 0-0 | Serie B |
| Jun 13, 2015 | Ceara(home) | 1-0 | Serie B |
| Jun 6, 2015 | RB Bragantino(away) | 0-2 | Serie B |
| Jun 3, 2015 | Macaé(away) | 0-0 | Serie B |
| May 30, 2015 | Parana(home) | 1-0 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2015 | Criciuma(home) | 0-1 | Serie B |
| Jun 9, 2015 | Parana(away) | 0-1 | Serie B |
| Jun 6, 2015 | Santa Cruz(home) | 2-2 | Serie B |
| Jun 3, 2015 | Atletico Goianiense(away) | 1-0 | Serie B |
| May 31, 2015 | Macaé(home) | 1-2 | Serie B |
How many goals should we expect?
Bahia score 1.1 and concede 1.0 goals per match over their last 15; Luverdense score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bahia | 1.1 | 1.0 | 7 | 5/15 | 6/15 |
| Luverdense | 0.9 | 0.9 | 4 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Bahia vs Luverdense?
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