Kawasaki Frontale vs Blaublitz Akita: result 2-0 and analysis
Emperor CupSemi-finalsKick-off on December 27, 2020 at 04:05 AM (UTC)Uvance Todoroki Stadium by Fujitsu, Kawasaki
Full time
What was the result of Kawasaki Frontale vs Blaublitz Akita?
Kawasaki Frontale won 2-0 on December 27, 2020.
Goalscorers
- 39′K. MitomaKawasaki Frontale
- 83′A. TanakaKawasaki Frontale
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kawasaki Frontale have 9 wins, 3 draws and 3 defeats; Blaublitz Akita have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 19, 2020 | Kashiwa Reysol(away) | 3-2 | J1 League |
| Dec 16, 2020 | Urawa(home) | 3-1 | J1 League |
| Dec 12, 2020 | Sagan Tosu(away) | 1-1 | J1 League |
| Dec 5, 2020 | Shimizu S-pulse(away) | 2-2 | J1 League |
| Nov 25, 2020 | Gamba Osaka(home) | 5-0 | J1 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 23, 2020 | Fukuyama City(home) | 3-1 | Emperor Cup |
| Dec 20, 2020 | Kagoshima United(away) | 0-3 | J3 League |
| Dec 13, 2020 | Sagamihara(away) | 1-1 | J3 League |
| Dec 9, 2020 | Gainare Tottori(away) | 0-0 | J3 League |
| Dec 5, 2020 | Imabari(home) | 1-3 | J3 League |
What does the head-to-head say?
Across the last 1 meetings: 1 Kawasaki Frontale win(s), 0 draw(s), 0 Blaublitz Akita win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 3, 2016 | Kawasaki Frontale 3-1 Blaublitz Akita | Emperor Cup |
Last archived meeting: Kawasaki Frontale vs Blaublitz Akita on Sep 3, 2016
How many goals should we expect?
Kawasaki Frontale score 1.9 and concede 1.0 goals per match over their last 15; Blaublitz Akita score 1.6 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kawasaki Frontale | 1.9 | 1.0 | 4 | 8/15 | 8/15 |
| Blaublitz Akita | 1.6 | 0.8 | 8 | 5/15 | 7/15 |
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