Roasso Kumamoto vs Vissel Kobe: result 1-1 and analysis
Emperor CupQuarter-finalsKick-off on August 30, 2023 at 10:00 AM (UTC)Egao Kenko Stadium, Kumamoto
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What was the result of Roasso Kumamoto vs Vissel Kobe?
Roasso Kumamoto and Vissel Kobe drew 1-1 on August 30, 2023.
Goalscorers
- 60′R. HirakawaRoasso Kumamoto
- 87′Jean PatrickVissel Kobe
What is the recent form of both teams?
Over their last 15 matches in all competitions, Roasso Kumamoto have 3 wins, 5 draws and 7 defeats; Vissel Kobe have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2023 | Iwaki(home) | 2-4 | J2 League |
| Aug 19, 2023 | Montedio Yamagata(away) | 0-2 | J2 League |
| Aug 12, 2023 | Kanazawa(away) | 1-1 | J2 League |
| Aug 6, 2023 | Mito Hollyhock(home) | 0-0 | J2 League |
| Aug 2, 2023 | FC Tokyo(away) | 2-0 | Emperor Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2023 | FC Tokyo(away) | 2-2 | J1 League |
| Aug 19, 2023 | Kashiwa Reysol(home) | 1-1 | J1 League |
| Aug 12, 2023 | Kawasaki Frontale(away) | 1-0 | J1 League |
| Aug 6, 2023 | Yokohama FC(away) | 0-2 | J1 League |
| Aug 2, 2023 | Ventforet Kofu(away) | 4-1 | Emperor Cup |
What does the head-to-head say?
Across the last 2 meetings: 0 Roasso Kumamoto win(s), 0 draw(s), 2 Vissel Kobe win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 24, 2013 | Vissel Kobe 3-0 Roasso Kumamoto | J2 League |
| Jun 29, 2013 | Roasso Kumamoto 1-2 Vissel Kobe | J2 League |
Last archived meeting: Vissel Kobe vs Roasso Kumamoto on Nov 24, 2013
How many goals should we expect?
Roasso Kumamoto score 1.3 and concede 1.7 goals per match over their last 15; Vissel Kobe score 1.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Roasso Kumamoto | 1.3 | 1.7 | 3 | 9/15 | 7/15 |
| Vissel Kobe | 1.8 | 1.3 | 3 | 10/15 | 9/15 |
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