Chapadão vs Águia Negra: result 1-0 and analysis
Sul-Matogrossense1st Round - 9Kick-off on March 15, 2020 at 07:00 PM (UTC)Estádio da SERC, Chapadão do Sul, Mato Grosso do Sul
Full time
What was the result of Chapadão vs Águia Negra?
Chapadão won 1-0 on March 15, 2020.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Chapadão have 4 wins, 2 draws and 2 defeats; Águia Negra have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 7, 2020 | Maracaju(away) | 2-2 | Sul-Matogrossense |
| Mar 4, 2020 | Nova Andradina(home) | 4-1 | Sul-Matogrossense |
| Mar 1, 2020 | Ponta Porã(away) | 2-0 | Sul-Matogrossense |
| Feb 22, 2020 | Costa Rica (home) | 2-0 | Sul-Matogrossense |
| Feb 15, 2020 | Corumbaense(away) | 1-2 | Sul-Matogrossense |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 8, 2020 | Operario Ferroviario(home) | 0-0 | Sul-Matogrossense |
| Mar 4, 2020 | Maracaju(away) | 2-2 | Sul-Matogrossense |
| Feb 29, 2020 | Nova Andradina(away) | 2-0 | Sul-Matogrossense |
| Feb 26, 2020 | Ferroviária(away) | 2-6 | Copa Do Brasil |
| Feb 20, 2020 | Aquidauanense(home) | 2-1 | Sul-Matogrossense |
How many goals should we expect?
Chapadão score 1.9 and concede 1.3 goals per match over their last 8; Águia Negra score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chapadão | 1.9 | 1.3 | 2 | 6/8 | 5/8 |
| Águia Negra | 1.5 | 1.4 | 4 | 9/15 | 9/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Águia Negra | 9 | 1 | 4 | 4 | 9 | 13 | 7 |
A question about Chapadão vs Águia Negra?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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