Honda vs Kariya: result 3-1 and analysis
Japan Football LeagueRegular Season - 34Kick-off on December 5, 2021 at 04:00 AM (UTC)Honda Miyakoda Soccer Stadium, Hamamatsu
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What was the result of Honda vs Kariya?
Honda won 3-1 on December 5, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Honda have 9 wins, 4 draws and 2 defeats; Kariya have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2021 | Tokyo Musashino City(away) | 3-0 | Japan Football League |
| Nov 21, 2021 | Verspah Oita(away) | 0-1 | Japan Football League |
| Nov 7, 2021 | TIAMO Hirakata(away) | 7-1 | Japan Football League |
| Nov 3, 2021 | Veertien Mie(away) | 1-0 | Japan Football League |
| Oct 30, 2021 | Honda Lock(home) | 1-0 | Japan Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2021 | Matsue City(home) | 0-1 | Japan Football League |
| Nov 20, 2021 | Tokyo Musashino City(away) | 2-3 | Japan Football League |
| Nov 14, 2021 | Reinmeer Aomori(away) | 2-3 | Japan Football League |
| Nov 7, 2021 | Iwaki(home) | 1-2 | Japan Football League |
| Nov 3, 2021 | Maruyasu Okazaki(away) | 1-1 | Japan Football League |
What does the head-to-head say?
Across the last 1 meetings: 1 Honda win(s), 0 draw(s), 0 Kariya win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 25, 2021 | Kariya 0-1 Honda | Japan Football League |
How many goals should we expect?
Honda score 2.4 and concede 0.8 goals per match over their last 15; Kariya score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Honda | 2.4 | 0.8 | 5 | 9/15 | 8/15 |
| Kariya | 0.9 | 1.5 | 2 | 10/15 | 8/15 |
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 | Honda | 30 | 17 | 9 | 4 | 51 | 28 | 60 |
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