Yokohama F. Marinos vs Kaya: result 3-0 and analysis
AFC Champions League EliteGroup G - 3Kick-off on October 25, 2023 at 10:00 AM (UTC)Nissan Stadium, Yokohama
Full time
What was the result of Yokohama F. Marinos vs Kaya?
Yokohama F. Marinos won 3-0 on October 25, 2023.
Goalscorers
- 35′K. MizunumaYokohama F. Marinos
- 72′K. SugimotoYokohama F. Marinos
- 90′Anderson LopesYokohama F. Marinos
What is the recent form of both teams?
Over their last 15 matches in all competitions, Yokohama F. Marinos have 7 wins, 2 draws and 6 defeats; Kaya have 12, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2023 | Consadole Sapporo(home) | 4-1 | J1 League |
| Oct 15, 2023 | Urawa(away) | 0-2 | J-League Cup |
| Oct 11, 2023 | Urawa(home) | 1-0 | J-League Cup |
| Oct 3, 2023 | Shandong Luneng(away) | 1-0 | AFC Champions League Elite |
| Sep 29, 2023 | Vissel Kobe(home) | 0-2 | J1 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2023 | Stallion(home) | 2-1 | Copa Paulino Alcantara |
| Oct 8, 2023 | UP Men's Football Team(away) | 8-0 | Copa Paulino Alcantara |
| Oct 3, 2023 | Incheon United(away) | 0-4 | AFC Champions League Elite |
| Sep 29, 2023 | UP Men's Football Team(home) | 3-0 | Copa Paulino Alcantara |
| Sep 25, 2023 | Far Eastern University(away) | 5-1 | Copa Paulino Alcantara |
How many goals should we expect?
Yokohama F. Marinos score 1.4 and concede 1.5 goals per match over their last 15; Kaya score 4.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Yokohama F. Marinos | 1.4 | 1.5 | 4 | 8/15 | 8/15 |
| Kaya | 4.8 | 1.1 | 5 | 9/15 | 14/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Yokohama F. Marinos | 7 | 6 | 0 | 1 | 21 | 7 | 18 |
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