Kawasaki Frontale vs Daegu FC: result 3-2 and analysis
AFC Champions League EliteGroup I - 1Kick-off on June 26, 2021 at 04:00 PM (UTC)Uvance Todoroki Stadium by Fujitsu, Kawasaki
Full time
What was the result of Kawasaki Frontale vs Daegu FC?
Kawasaki Frontale won 3-2 on June 26, 2021.
Goalscorers
- 8′Hwang Soon-MinDaegu FC
- 40′Leandro DamiãoKawasaki Frontale
- 47′CesinhaDaegu FC
- 51′Leandro DamiãoKawasaki Frontale
- 55′João SchmidtKawasaki Frontale
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kawasaki Frontale have 11 wins, 4 draws and 0 defeats; Daegu FC have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2021 | Parceiro Nagano(home) | 1-1 | Emperor Cup |
| Jun 2, 2021 | Yokohama FC(away) | 2-0 | J1 League |
| May 30, 2021 | Kashima(home) | 2-1 | J1 League |
| May 26, 2021 | Shonan Bellmare(away) | 1-1 | J1 League |
| May 22, 2021 | Yokohama FC(home) | 3-1 | J1 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 6, 2021 | FC Seoul(home) | 1-1 | K League 1 |
| May 30, 2021 | Gangwon FC(home) | 1-0 | K League 1 |
| May 26, 2021 | Gimhae City(home) | 2-0 | FA Cup |
| May 23, 2021 | Jeonbuk Motors(home) | 1-0 | K League 1 |
| May 19, 2021 | Suwon Bluewings(away) | 1-1 | K League 1 |
How many goals should we expect?
Kawasaki Frontale score 2.2 and concede 0.8 goals per match over their last 15; Daegu FC score 1.3 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kawasaki Frontale | 2.2 | 0.8 | 6 | 9/15 | 7/15 |
| Daegu FC | 1.3 | 0.6 | 9 | 5/15 | 5/15 |
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 | Kawasaki Frontale | 7 | 5 | 0 | 2 | 13 | 4 | 15 |
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