Castanhal vs Remo: result 0-1 and analysis
ParaenseSemi-finalsKick-off on August 13, 2020 at 11:00 PM (UTC)Estádio Estadual Jornalista Edgar Augusto Proença, Belém, Pará
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What was the result of Castanhal vs Remo?
Remo won 0-1 on August 13, 2020.
Goalscorers
- 4′LucãoRemo (o.g.)
What is the recent form of both teams?
Over their last 10 matches in all competitions, Castanhal have 6 wins, 2 draws and 2 defeats; Remo have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2020 | Independente PA(home) | 2-1 | Paraense |
| Aug 1, 2020 | Tapajós(home) | 2-1 | Paraense |
| Mar 15, 2020 | Paysandu(away) | 0-1 | Paraense |
| Mar 8, 2020 | Carajás(away) | 3-3 | Paraense |
| Mar 1, 2020 | Águia de Marabá(home) | 2-2 | Paraense |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 9, 2020 | Jacuipense(away) | 2-1 | Serie C |
| Aug 5, 2020 | Tapajós(away) | 3-1 | Paraense |
| Aug 2, 2020 | Águia de Marabá(home) | 4-2 | Paraense |
| Mar 14, 2020 | Independente PA(home) | 0-0 | Paraense |
| Mar 8, 2020 | Paysandu(away) | 1-1 | Paraense |
How many goals should we expect?
Castanhal score 2.1 and concede 1.5 goals per match over their last 10; Remo score 1.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Castanhal | 2.1 | 1.5 | 1 | 8/10 | 9/10 |
| Remo | 1.6 | 1.1 | 5 | 10/15 | 8/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Castanhal sit 7th in Paraense (8 points from 6 matches) and Remo sit 5th (10 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Remo | 6 | 2 | 4 | 0 | 9 | 5 | 10 |
| 7 | Castanhal | 6 | 2 | 2 | 2 | 4 | 5 | 8 |
A question about Castanhal vs Remo?
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