Matsue City vs Honda: result 0-2 and analysis
Japan Football LeagueRegular Season - 16Kick-off on July 21, 2019 at 06:00 AM (UTC)Matsue Athletic Stadium, Matsue
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What was the result of Matsue City vs Honda?
Honda won 0-2 on July 21, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Matsue City have 2 wins, 5 draws and 8 defeats; Honda have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 15, 2019 | Osaka(home) | 0-3 | Japan Football League |
| Jul 7, 2019 | Nara Club(away) | 1-1 | Japan Football League |
| Jun 29, 2019 | Ryutsu Keizai Dragons(home) | 4-2 | Japan Football League |
| Jun 22, 2019 | Reinmeer Aomori(away) | 2-1 | Japan Football League |
| Jun 16, 2019 | Honda Lock(home) | 1-6 | Japan Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 14, 2019 | Maruyasu Okazaki(away) | 0-0 | Japan Football League |
| Jul 7, 2019 | Suzuka Unlimited(home) | 2-2 | Japan Football League |
| Jul 3, 2019 | Consadole Sapporo(away) | 4-2 | Emperor Cup |
| Jun 29, 2019 | Tegevajaro Miyazaki(away) | 1-1 | Japan Football League |
| Jun 22, 2019 | Biwako Shiga(home) | 3-1 | Japan Football League |
What does the head-to-head say?
Across the last 1 meetings: 0 Matsue City win(s), 1 draw(s), 0 Honda win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 17, 2019 | Honda 1-1 Matsue City | Japan Football League |
How many goals should we expect?
Matsue City score 0.8 and concede 1.9 goals per match over their last 15; Honda score 2.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Matsue City | 0.8 | 1.9 | 3 | 8/15 | 8/15 |
| Honda | 2.0 | 0.9 | 6 | 8/15 | 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