Cascavel vs São Luiz: result 2-1 and analysis
Serie D1st Phase - 3Kick-off on May 1, 2022 at 07:00 PM (UTC)Estádio Olímpico Regional Jacy Miguel Scanagatta, Cascavel, Paraná
Full time
What was the result of Cascavel vs São Luiz?
Cascavel won 2-1 on May 1, 2022.
Goalscorers
- 58′Lucas BatatinhaCascavel
- 86′Felipe GuedesSão Luiz
- 90′JacyCascavel
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cascavel have 5 wins, 4 draws and 6 defeats; São Luiz have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2022 | Marcílio Dias(away) | 1-1 | Serie D |
| Apr 17, 2022 | Próspera Criciuma(home) | 1-0 | Serie D |
| Mar 20, 2022 | Maringá(away) | 0-5 | Paranaense - 1 |
| Mar 16, 2022 | Tocantinópolis(away) | 0-2 | Copa Do Brasil |
| Mar 12, 2022 | Maringá(home) | 0-1 | Paranaense - 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2022 | Azuriz(home) | 2-0 | Serie D |
| Apr 17, 2022 | Juventus SC(away) | 1-1 | Serie D |
| Mar 12, 2022 | Aimoré(away) | 0-1 | Gaúcho - 1 |
| Mar 6, 2022 | Brasil DE Pelotas(home) | 1-1 | Gaúcho - 1 |
| Feb 26, 2022 | Sao Jose(home) | 0-3 | Gaúcho - 1 |
How many goals should we expect?
Cascavel score 0.8 and concede 1.3 goals per match over their last 15; São Luiz score 0.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cascavel | 0.8 | 1.3 | 6 | 4/15 | 5/15 |
| São Luiz | 0.7 | 1.0 | 7 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Cascavel sit 3rd in Serie D (15 points from 10 matches) and São Luiz sit 4th (15 points from 10 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Cascavel | 10 | 4 | 3 | 3 | 9 | 4 | 15 |
| 4 | São Luiz | 10 | 4 | 3 | 3 | 11 | 9 | 15 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy