Maringá vs Cascavel: result 1-1 and analysis
Paranaense - 1Group Stage - 7Kick-off on April 29, 2021 at 09:00 PM (UTC)Estádio Regional Willie Davids, Maringá, Paraná
Full time
What was the result of Maringá vs Cascavel?
Maringá and Cascavel drew 1-1 on April 29, 2021.
Goalscorers
- 52′RobertinhoMaringá
- 60′RobinhoCascavel
What is the recent form of both teams?
Over their last 15 matches in all competitions, Maringá have 7 wins, 5 draws and 3 defeats; Cascavel have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2021 | Operario-PR(home) | 0-0 | Paranaense - 1 |
| Apr 21, 2021 | Parana(away) | 2-2 | Paranaense - 1 |
| Apr 1, 2021 | Azuriz(away) | 0-3 | Paranaense - 1 |
| Mar 28, 2021 | Rio Branco PR(home) | 0-0 | Paranaense - 1 |
| Mar 23, 2021 | Coritiba(home) | 0-1 | Paranaense - 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2021 | Cianorte(home) | 1-1 | Paranaense - 1 |
| Apr 16, 2021 | Avai(away) | 0-2 | Copa Do Brasil |
| Apr 4, 2021 | Atletico Paranaense(home) | 2-1 | Paranaense - 1 |
| Apr 1, 2021 | Cascavel CR(away) | 3-3 | Paranaense - 1 |
| Mar 24, 2021 | Operario-PR(home) | 1-0 | Paranaense - 1 |
How many goals should we expect?
Maringá score 1.1 and concede 0.9 goals per match over their last 15; Cascavel score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maringá | 1.1 | 0.9 | 7 | 5/15 | 6/15 |
| Cascavel | 1.5 | 1.3 | 6 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Maringá sit 5th in Paranaense - 1 (8 points from 6 matches) and Cascavel sit 6th (6 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Maringá | 6 | 2 | 2 | 2 | 9 | 7 | 8 |
| 6 | Cascavel | 6 | 1 | 3 | 2 | 5 | 6 | 6 |
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