Toledo vs Cascavel: result 1-3 and analysis
Serie DRegular Season - 10Kick-off on November 1, 2020 at 06:30 PM (UTC)Estádio Municipal 14 de Dezembro, Toledo, Paraná
Full time
What was the result of Toledo vs Cascavel?
Cascavel won 1-3 on November 1, 2020.
Goalscorers
- 1′Júnior PregoCascavel
- 73′AfonsoCascavel
- 87′Paulo BayaCascavel
- 90′PHToledo (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Toledo have 1 wins, 4 draws and 10 defeats; Cascavel have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2020 | Bangu(away) | 0-1 | Serie D |
| Oct 21, 2020 | Cabofriense(home) | 0-2 | Serie D |
| Oct 17, 2020 | Cabofriense(away) | 0-1 | Serie D |
| Oct 15, 2020 | Bangu(home) | 1-1 | Serie D |
| Oct 11, 2020 | Cascavel(away) | 1-3 | Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2020 | Nacional PR(home) | 2-0 | Serie D |
| Oct 22, 2020 | Portuguesa RJ(away) | 1-2 | Serie D |
| Oct 18, 2020 | Portuguesa RJ(home) | 2-0 | Serie D |
| Oct 14, 2020 | Nacional PR(away) | 3-0 | Serie D |
| Oct 11, 2020 | Toledo(home) | 3-1 | Serie D |
What does the head-to-head say?
Across the last 2 meetings: 0 Toledo win(s), 1 draw(s), 1 Cascavel win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 11, 2020 | Cascavel 3-1 Toledo | Serie D |
| Feb 22, 2020 | Cascavel 1-1 Toledo | Paranaense - 1 |
How many goals should we expect?
Toledo score 0.7 and concede 2.3 goals per match over their last 15; Cascavel score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Toledo | 0.7 | 2.3 | 1 | 7/15 | 6/15 |
| Cascavel | 1.9 | 1.1 | 8 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Cascavel | 10 | 4 | 3 | 3 | 9 | 4 | 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