PSTC Procopense vs Toledo: result 0-2 and analysis
Paranaense - 1Group Stage - 3Kick-off on January 26, 2020 at 07:00 PM (UTC)Estádio Municipal Ubirajara Medeiros, Cornélio Procópio, Paraná
Full time
What was the result of PSTC Procopense vs Toledo?
Toledo won 0-2 on January 26, 2020.
Goalscorers
- 58′Vinicius Scorse MartinsToledo
- 66′Cleuton DuduToledo
Official lineup for PSTC Procopense vs Toledo
The starting elevens fielded at kick-off.
PSTC Procopense
- GGerônimo
- AAlex Honório Júnior
- YYuri
- AAlisson
- LLeandro Lima Silva
- LLeo Couto
- WWallace
- HH. Hurtado
- IIgor
- BBarbosa
- MManoel
Toledo
- EEduardinho
- CCleuton Dudu
- MMatheus Correia de Paiva
- JJeferson Prill
- JJhonathan
- VVinicius Scorse Martins
- GGustavo
- EEduardo Luiz Dallagnol
- EElson Rabelo Conceição
- TTomazi
- DDiego
What is the recent form of both teams?
Over their last 15 matches in all competitions, PSTC Procopense have 2 wins, 3 draws and 10 defeats; Toledo have 0, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 23, 2020 | Atletico Paranaense(away) | 0-1 | Paranaense - 1 |
| Jan 19, 2020 | Londrina(away) | 1-2 | Paranaense - 1 |
| Jun 25, 2017 | Metropolitano(home) | 0-1 | Serie D |
| Jun 17, 2017 | Ituano(away) | 0-0 | Serie D |
| Jun 11, 2017 | Sao Jose(away) | 0-4 | Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 23, 2020 | União PR(home) | 1-1 | Paranaense - 1 |
| Jan 19, 2020 | Cianorte(home) | 0-1 | Paranaense - 1 |
How many goals should we expect?
PSTC Procopense score 0.8 and concede 1.7 goals per match over their last 15; Toledo score 0.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSTC Procopense | 0.8 | 1.7 | 2 | 7/15 | 7/15 |
| Toledo | 0.5 | 1.0 | 0 | 1/2 | 0/2 |
Over the last 15 matches in all competitions.
A question about PSTC Procopense vs Toledo?
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