Ceres vs Daegu FC: result 0-4 and analysis
AFC Champions League EliteGroup I - 6Kick-off on July 11, 2021 at 12:00 PM (UTC)Panaad Stadium, Bacolod City
Full time
What was the result of Ceres vs Daegu FC?
Daegu FC won 0-4 on July 11, 2021.
Goalscorers
- 37′T. NishiDaegu FC
- 48′Lee Keun-HoDaegu FC
- 58′EdgarDaegu FC
- 73′Jeong Chi-InDaegu FC
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ceres have 8 wins, 2 draws and 5 defeats; Daegu FC have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 8, 2021 | Beijing Guoan(away) | 3-2 | AFC Champions League Elite |
| Jul 5, 2021 | Kawasaki Frontale(home) | 0-2 | AFC Champions League Elite |
| Jul 2, 2021 | Kawasaki Frontale(away) | 0-8 | AFC Champions League Elite |
| Jun 29, 2021 | Daegu FC(away) | 0-7 | AFC Champions League Elite |
| Jun 26, 2021 | Beijing Guoan(home) | 1-1 | AFC Champions League Elite |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 8, 2021 | Kawasaki Frontale(home) | 1-3 | AFC Champions League Elite |
| Jul 5, 2021 | Beijing Guoan(away) | 3-0 | AFC Champions League Elite |
| Jul 2, 2021 | Beijing Guoan(home) | 5-0 | AFC Champions League Elite |
| Jun 29, 2021 | Ceres(home) | 7-0 | AFC Champions League Elite |
| Jun 26, 2021 | Kawasaki Frontale(away) | 2-3 | AFC Champions League Elite |
What does the head-to-head say?
Across the last 1 meetings: 0 Ceres win(s), 0 draw(s), 1 Daegu FC win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 29, 2021 | Daegu FC 7-0 Ceres | AFC Champions League Elite |
How many goals should we expect?
Ceres score 2.7 and concede 1.8 goals per match over their last 15; Daegu FC score 2.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ceres | 2.7 | 1.8 | 6 | 5/15 | 10/15 |
| Daegu FC | 2.3 | 0.7 | 9 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
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