YSCC vs Mito Hollyhock: result 1-0 and analysis
J-League Cup1st RoundKick-off on March 6, 2024 at 10:00 AM (UTC)NHK Spring Mitsuzawa Football Stadium, Yokohama
Full time
What was the result of YSCC vs Mito Hollyhock?
YSCC won 1-0 on March 6, 2024.
Goalscorers
- 67′K. MatsumuraYSCC
Official lineup for YSCC vs Mito Hollyhock
The starting elevens fielded at kick-off.
YSCC
- 9Y. Kayanuma
- 32K. Matsumura
- 14R. Wakizaka
- 15Y. Fujita
- 23H. Domoto
- 50T. Nakazato
- 3T. Fujiwara
- 5H. Oshima
- 8Y. Yanagi
- 26H. Okoshi
- 16J. Kodama
Mito Hollyhock
- 22Seiichiro Kubo
- 45S. Teranuma
- 6K. Takagishi
- 10R. Maeda
- 13R. Nose
- 14F. Sugiura
- 5T. Kusumoto
- 16T. Tabira
- 27S. Okita
- 42H. Ishii
- 51R. Haruna
What is the recent form of both teams?
Over their last 15 matches in all competitions, YSCC have 7 wins, 2 draws and 6 defeats; Mito Hollyhock have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2024 | Osaka(home) | 0-2 | J3 League |
| Feb 25, 2024 | Kataller Toyama(home) | 1-1 | J3 League |
| Dec 2, 2023 | Kataller Toyama(away) | 1-2 | J3 League |
| Nov 26, 2023 | Parceiro Nagano(home) | 1-1 | J3 League |
| Nov 18, 2023 | Matsumoto Yamaga(away) | 2-0 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2024 | Ventforet Kofu(home) | 1-2 | J2 League |
| Feb 25, 2024 | Iwaki(home) | 1-0 | Friendlies Clubs |
| Feb 24, 2024 | Iwaki(home) | 1-0 | J2 League |
| Feb 11, 2024 | Vanraure Hachinohe(home) | 2-0 | Friendlies Clubs |
| Feb 10, 2024 | Kashima(away) | 0-1 | Friendlies Clubs |
How many goals should we expect?
YSCC score 1.1 and concede 1.0 goals per match over their last 15; Mito Hollyhock score 1.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| YSCC | 1.1 | 1.0 | 6 | 4/15 | 3/15 |
| Mito Hollyhock | 1.0 | 1.1 | 5 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
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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
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