SC Braga B vs Oliveirense: result 1-1 and analysis
Segunda LigaRegular Season - 7Kick-off on September 16, 2017 at 04:00 PM (UTC)Complex Desportivo Clube de Futebol de Fão, Fão
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What was the result of SC Braga B vs Oliveirense?
SC Braga B and Oliveirense drew 1-1 on September 16, 2017.
Goalscorers
- 27′O. LouisSC Braga B (pen.)
- 65′N. BonillaOliveirense
What is the recent form of both teams?
Over their last 15 matches in all competitions, SC Braga B have 5 wins, 4 draws and 6 defeats; Oliveirense 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 |
|---|---|---|---|
| Sep 10, 2017 | Arouca(away) | 0-0 | Segunda Liga |
| Aug 28, 2017 | Leixoes(home) | 2-2 | Segunda Liga |
| Aug 23, 2017 | Penafiel(away) | 1-2 | Segunda Liga |
| Aug 19, 2017 | Santa Clara(home) | 0-2 | Segunda Liga |
| Aug 12, 2017 | Academica(away) | 0-2 | Segunda Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | FC Porto B(home) | 1-2 | Segunda Liga |
| Sep 3, 2017 | Sendim(away) | 5-0 | Taça de Portugal |
| Sep 3, 2017 | SC Covilha(home) | 2-2 | Segunda Liga |
| Aug 27, 2017 | Famalicao(away) | 0-1 | Segunda Liga |
| Aug 19, 2017 | Nacional(home) | 0-2 | Segunda Liga |
How many goals should we expect?
SC Braga B score 1.5 and concede 1.4 goals per match over their last 15; Oliveirense score 2.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SC Braga B | 1.5 | 1.4 | 2 | 10/15 | 8/15 |
| Oliveirense | 2.3 | 1.6 | 3 | 7/12 | 8/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | Oliveirense | 34 | 8 | 10 | 16 | 34 | 49 | 34 |
A question about SC Braga B vs Oliveirense?
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