Brusque vs Sao Jose: result 2-1 and analysis
Serie D16th FinalsKick-off on July 9, 2017 at 06:30 PM (UTC)Estádio Augusto Bauer, Brusque, Santa Catarina
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What was the result of Brusque vs Sao Jose?
Brusque won 2-1 on July 9, 2017.
Goalscorers
- 17′Wilson JúniorBrusque
- 57′Leomir Silva TelesBrusque
- 90′ClaytonSao Jose
What is the recent form of both teams?
Over their last 15 matches in all competitions, Brusque have 5 wins, 6 draws and 4 defeats; Sao Jose have 5, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2017 | Operario-PR(home) | 1-0 | Serie D |
| Jun 16, 2017 | XV de Piracicaba(away) | 0-1 | Serie D |
| Jun 11, 2017 | São Paulo RS(away) | 1-1 | Serie D |
| Jun 4, 2017 | São Paulo RS(home) | 3-1 | Serie D |
| May 27, 2017 | XV de Piracicaba(home) | 3-1 | Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2017 | Ituano(home) | 1-0 | Serie D |
| Jun 17, 2017 | Metropolitano(away) | 0-1 | Serie D |
| Jun 11, 2017 | PSTC Procopense(home) | 4-0 | Serie D |
| Jun 4, 2017 | PSTC Procopense(away) | 3-1 | Serie D |
| May 27, 2017 | Metropolitano(home) | 4-0 | Serie D |
How many goals should we expect?
Brusque score 1.0 and concede 0.5 goals per match over their last 15; Sao Jose score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brusque | 1.0 | 0.5 | 7 | 4/15 | 3/15 |
| Sao Jose | 1.3 | 0.7 | 5 | 3/12 | 4/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Sao Jose | 10 | 3 | 4 | 3 | 6 | 8 | 13 |
A question about Brusque vs Sao Jose?
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