Veertien Mie vs Honda: result 1-2 and analysis
Japan Football League1st Phase - 6Kick-off on April 29, 2017 at 04:00 AM (UTC)Toin-cho Sports Park Athletics Stadium, Toin
Full time
What was the result of Veertien Mie vs Honda?
Honda won 1-2 on April 29, 2017.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Veertien Mie have 3 wins, 1 draws and 3 defeats; Honda have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 16, 2017 | Ryutsu Keizai Dragons(away) | 0-1 | Japan Football League |
| Mar 26, 2017 | Osaka(home) | 6-3 | Japan Football League |
| Mar 19, 2017 | Vanraure Hachinohe(away) | 0-1 | Japan Football League |
| Mar 12, 2017 | Sony Sendai(home) | 3-2 | Japan Football League |
| Mar 5, 2017 | Honda Lock(away) | 2-2 | Japan Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2017 | Biwako Seikei College(home) | 3-1 | Emperor Cup |
| Apr 16, 2017 | Tochigi Uva(home) | 6-0 | Japan Football League |
| Mar 26, 2017 | Tokyo Musashino City(away) | 1-1 | Japan Football League |
| Mar 19, 2017 | Nara Club(home) | 2-0 | Japan Football League |
| Mar 12, 2017 | Imabari(away) | 0-0 | Japan Football League |
How many goals should we expect?
Veertien Mie score 2.1 and concede 2.0 goals per match over their last 7; Honda score 2.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Veertien Mie | 2.1 | 2.0 | 0 | 5/7 | 5/7 |
| Honda | 2.3 | 0.9 | 6 | 9/15 | 10/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
Veertien Mie sit 7th in Japan Football League (45 points from 30 matches) and Honda sit 1st (60 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Honda | 30 | 17 | 9 | 4 | 51 | 28 | 60 |
| 7 | Veertien Mie | 30 | 11 | 12 | 7 | 38 | 25 | 45 |
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