U. Catolica vs Colo Colo: result 1-4 and analysis
Super CupFinalKick-off on July 23, 2017 at 04:00 PM (UTC)Estadio Nacional Julio Martínez Prádanos, Santiago de Chile
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What was the result of U. Catolica vs Colo Colo?
Colo Colo won 1-4 on July 23, 2017.
Goalscorers
- 29′B. KuscevicU. Catolica
- 31′E. ParedesColo Colo
- 55′A. VilchesColo Colo
- 61′Jaime Andrés Valdés ZapataColo Colo (pen.)
- 74′E. ParedesColo Colo
Official lineup for U. Catolica vs Colo Colo
The starting elevens fielded at kick-off.
U. Catolica
- 8D. Vallejos
- 9S. Silva
- 6C. Fuentes
- 11F. Cordero
- 18D. Buonanotte
- 22L. Aued
- 13B. Kuscevic
- 19J. Fuenzalida
- 23G. Lanaro
- 27J. Espinoza
- 1C. Toselli
Colo Colo
- 7E. Paredes
- 18A. Vilches
- 9L. Figueroa
- 10J. Valdivia
- 20Jaime Andrés Valdés Zapata
- 23C. Baeza
- 2F. Meza
- 5J. Barroso
- 17G. Suazo
- 28F. Campos
- 1A. Orión
What is the recent form of both teams?
In their last match in all competitions, U. Catolica have 1 win, 0 draws and 0 defeats; Colo Colo have 3, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2016 | Universidad de Chile(home) | 2-1 | Super Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2015 | Serra Talhada(home) | 2-1 | Serie D |
| Sep 6, 2015 | Campinense(away) | 1-3 | Serie D |
| Aug 30, 2015 | Coruripe(home) | 1-3 | Serie D |
| Aug 23, 2015 | Globo(away) | 2-1 | Serie D |
| Aug 9, 2015 | Globo(home) | 1-0 | Serie D |
How many goals should we expect?
U. Catolica score 2.0 and concede 1.0 goals per match in their last match; Colo Colo score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| U. Catolica | 2.0 | 1.0 | 0 | 1/1 | 1/1 |
| Colo Colo | 1.1 | 1.5 | 2 | 5/8 | 5/8 |
Over the last match in all competitions.
A question about U. Catolica vs Colo Colo?
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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