Ypiranga-RS vs Guaratinguetá: result 3-2 and analysis
Serie CRegular Season - 4Kick-off on June 12, 2016 at 06:00 PM (UTC)Estádio Olímpico Colosso da Lagoa, Erechim, Rio Grande do Sul
Full time
What was the result of Ypiranga-RS vs Guaratinguetá?
Ypiranga-RS won 3-2 on June 12, 2016.
Goalscorers
- 6′João PauloYpiranga-RS
- 32′Maycon Eduardo BambergYpiranga-RS
- 64′JesséYpiranga-RS
- 72′NandoGuaratinguetá
- 86′André ClóvisGuaratinguetá
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ypiranga-RS have 7 wins, 5 draws and 3 defeats; Guaratinguetá have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2016 | Portuguesa(away) | 1-3 | Serie C |
| May 29, 2016 | Botafogo SP(home) | 2-1 | Serie C |
| May 23, 2016 | Juventude(away) | 1-1 | Serie C |
| May 20, 2016 | Aparecidense(away) | 1-2 | Copa Do Brasil |
| May 11, 2016 | Aparecidense(home) | 3-1 | Copa Do Brasil |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2016 | Mogi Mirim(home) | 0-1 | Serie C |
| May 29, 2016 | Juventude(home) | 0-5 | Serie C |
| May 22, 2016 | Guarani Campinas(away) | 0-4 | Serie C |
| Sep 27, 2015 | Juventude(away) | 0-3 | Serie C |
| Sep 20, 2015 | Madureira(home) | 5-0 | Serie C |
How many goals should we expect?
Ypiranga-RS score 1.4 and concede 0.9 goals per match over their last 15; Guaratinguetá score 1.2 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ypiranga-RS | 1.4 | 0.9 | 6 | 8/15 | 6/15 |
| Guaratinguetá | 1.2 | 2.1 | 1 | 6/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Ypiranga-RS | 19 | 8 | 5 | 6 | 27 | 24 | 29 |
A question about Ypiranga-RS vs Guaratinguetá?
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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