Parana vs Santo André: result 1-0 and analysis
Serie D1st Phase - 7Kick-off on May 28, 2022 at 06:00 PM (UTC)Estádio Durival de Britto e Silva, Curitiba, Paraná
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What was the result of Parana vs Santo André?
Parana won 1-0 on May 28, 2022.
Goalscorers
- 68′Rafael SilvaParana
Official lineup for Parana vs Santo André
The starting elevens fielded at kick-off.
Parana
- RRafael Silva
- CCarlos Henrique
- ÉÉverton Brito
- MMarcelinho
- VVinicius Kiss
- MMoisés Gaúcho
- AAndré Diego Krobel
- CCésar
- FFranklin
- OOdivan
- FFelipe
Santo André
- DDavid Ribeiro
- WWil Viana
- DDioran Peterson Nogueira Soares
- TTiago Ulisses
- NNatham
- AAlex Nagib
- GGermano
- JJoão Paulo
- RRaphael
- RRuan
- GGabriel
What is the recent form of both teams?
Over their last 15 matches in all competitions, Parana have 3 wins, 4 draws and 8 defeats; Santo André have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2022 | Cianorte(away) | 1-0 | Serie D |
| May 15, 2022 | Pérolas Negras(away) | 1-0 | Serie D |
| May 8, 2022 | Portuguesa RJ(home) | 2-0 | Serie D |
| Apr 30, 2022 | Nova Iguaçu(away) | 1-1 | Serie D |
| Apr 24, 2022 | São Bernardo(home) | 0-0 | Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2022 | Portuguesa RJ(home) | 1-0 | Serie D |
| May 15, 2022 | Oeste(away) | 0-2 | Serie D |
| May 8, 2022 | Cianorte(away) | 1-1 | Serie D |
| Apr 30, 2022 | São Bernardo(home) | 0-1 | Serie D |
| Apr 23, 2022 | Nova Iguaçu(home) | 0-1 | Serie D |
How many goals should we expect?
Parana score 0.5 and concede 1.4 goals per match over their last 15; Santo André score 0.8 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Parana | 0.5 | 1.4 | 6 | 4/15 | 6/15 |
| Santo André | 0.8 | 0.9 | 4 | 5/15 | 3/15 |
Over the last 15 matches in all competitions.
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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