Universidad de Chile vs D. Melipilla: result 2-0 and analysis
Primera DivisiónRegular Season - 11Kick-off on July 21, 2021 at 12:30 AM (UTC)Estadio El Teniente, Rancagua
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What was the result of Universidad de Chile vs D. Melipilla?
Universidad de Chile won 2-0 on July 21, 2021.
Goalscorers
- 9′J. LarriveyUniversidad de Chile
- 90′J. LarriveyUniversidad de Chile
What is the recent form of both teams?
Over their last 15 matches in all competitions, Universidad de Chile have 5 wins, 6 draws and 4 defeats; D. Melipilla have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 4, 2021 | Fernández Vial(away) | 1-1 | Copa Chile |
| Jul 2, 2021 | Fernández Vial(home) | 1-1 | Copa Chile |
| Jun 28, 2021 | San Luis(away) | 3-1 | Copa Chile |
| Jun 24, 2021 | San Luis(home) | 1-0 | Copa Chile |
| Jun 5, 2021 | Palestino(away) | 0-0 | Primera División |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2021 | Nublense(away) | 0-0 | Copa Chile |
| Jun 23, 2021 | Nublense(home) | 0-1 | Copa Chile |
| Jun 7, 2021 | O'Higgins(home) | 3-1 | Primera División |
| May 29, 2021 | D. La Serena(away) | 1-5 | Primera División |
| May 23, 2021 | Antofagasta(home) | 1-1 | Primera División |
How many goals should we expect?
Universidad de Chile score 0.9 and concede 0.9 goals per match over their last 15; D. Melipilla score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Universidad de Chile | 0.9 | 0.9 | 4 | 8/15 | 4/15 |
| D. Melipilla | 1.1 | 0.9 | 6 | 4/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Universidad de Chile | 20 | 10 | 6 | 4 | 27 | 15 | 36 |
| 3 | Universidad de Chile | 15 | 6 | 6 | 3 | 17 | 10 | 24 |
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