Honda vs Matsue City: result 1-1 and analysis
Japan Football LeagueRegular Season - 1Kick-off on March 17, 2019 at 04:00 AM (UTC)Honda Miyakoda Soccer Stadium, Hamamatsu
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What was the result of Honda vs Matsue City?
Honda and Matsue City drew 1-1 on March 17, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Honda have 13 wins, 2 draws and 0 defeats; Matsue City have 3, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2018 | Biwako Shiga(home) | 5-2 | Japan Football League |
| Nov 10, 2018 | Maruyasu Okazaki(away) | 1-1 | Japan Football League |
| Nov 3, 2018 | Vanraure Hachinohe(home) | 1-1 | Japan Football League |
| Oct 27, 2018 | Tokyo Musashino City(away) | 2-1 | Japan Football League |
| Oct 21, 2018 | Honda Lock(away) | 3-0 | Japan Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 6, 2018 | V-varen Nagasaki(away) | 1-2 | Emperor Cup |
| May 27, 2018 | SRC Hiroshima(away) | 4-0 | Emperor Cup |
| Jun 21, 2017 | Sagan Tosu(away) | 0-3 | Emperor Cup |
| Apr 23, 2017 | Kumamoto Teachers(away) | 4-0 | Emperor Cup |
| Aug 27, 2016 | Fagiano Okayama(home) | 1-4 | Emperor Cup |
How many goals should we expect?
Honda score 2.3 and concede 0.5 goals per match over their last 15; Matsue City score 1.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Honda | 2.3 | 0.5 | 8 | 7/15 | 8/15 |
| Matsue City | 1.6 | 1.7 | 3 | 2/7 | 6/7 |
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 |
A question about Honda vs Matsue City?
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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