Cumbayá vs Duros del Balon: result 2-1 and analysis
Liga Pro Serie BRegular Season - 7Kick-off on May 6, 2021 at 10:00 PM (UTC)Estadio Olímpico Atahualpa, Quito
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What was the result of Cumbayá vs Duros del Balon?
Cumbayá won 2-1 on May 6, 2021.
Goalscorers
- 18′127460Cumbayá (pen.)
- 24′Sergio Danilo Mina JaramilloDuros del Balon
- 84′José Andrés Riofrío VivancoCumbayá
What is the recent form of both teams?
Over their last 6 matches in all competitions, Cumbayá have 5 wins, 0 draws and 1 defeat; Duros del Balon have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2021 | LDU Portoviejo(away) | 3-1 | Liga Pro Serie B |
| Apr 16, 2021 | America de Quito(home) | 1-0 | Liga Pro Serie B |
| Apr 8, 2021 | El Nacional(away) | 0-2 | Liga Pro Serie B |
| Apr 1, 2021 | Puerto Quito(home) | 2-1 | Liga Pro Serie B |
| Mar 24, 2021 | Guayaquil(away) | 1-0 | Liga Pro Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2021 | Guayaquil(home) | 3-4 | Liga Pro Serie B |
| Apr 14, 2021 | LDU Portoviejo(away) | 2-1 | Liga Pro Serie B |
| Apr 6, 2021 | Chacaritas(home) | 1-3 | Liga Pro Serie B |
| Mar 30, 2021 | America de Quito(home) | 0-0 | Liga Pro Serie B |
| Mar 24, 2021 | Gualaceo SC(away) | 0-3 | Liga Pro Serie B |
How many goals should we expect?
Cumbayá score 1.5 and concede 0.8 goals per match over their last 6; Duros del Balon score 0.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cumbayá | 1.5 | 0.8 | 2 | 3/6 | 3/6 |
| Duros del Balon | 0.8 | 1.4 | 4 | 7/15 | 6/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Cumbayá | 22 | 5 | 11 | 6 | 22 | 22 | 26 |
A question about Cumbayá vs Duros del Balon?
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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