Tokyo Musashino City vs Tegevajaro Miyazaki: result 3-0 and analysis
Japan Football League1st Phase - 14Kick-off on June 24, 2018 at 04:00 AM (UTC)Musashino Municipal Stadium, Musashino
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What was the result of Tokyo Musashino City vs Tegevajaro Miyazaki?
Tokyo Musashino City won 3-0 on June 24, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tokyo Musashino City have 5 wins, 4 draws and 6 defeats; Tegevajaro Miyazaki have 3, 0 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2018 | Veertien Mie(away) | 1-1 | Japan Football League |
| Jun 9, 2018 | Verspah Oita(home) | 0-2 | Japan Football League |
| Jun 2, 2018 | Cobaltore Onagawa(away) | 0-1 | Japan Football League |
| May 20, 2018 | Reinmeer Aomori(away) | 2-2 | Japan Football League |
| May 6, 2018 | Honda Lock(away) | 1-1 | Japan Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2018 | Vanraure Hachinohe(home) | 2-3 | Japan Football League |
| Jun 10, 2018 | Sony Sendai(away) | 0-3 | Japan Football League |
| Jun 6, 2018 | Cerezo Osaka(away) | 0-1 | Emperor Cup |
| Jun 2, 2018 | Maruyasu Okazaki(away) | 0-4 | Japan Football League |
| May 27, 2018 | Saga LIXIL(away) | 3-0 | Emperor Cup |
How many goals should we expect?
Tokyo Musashino City score 1.1 and concede 1.3 goals per match over their last 15; Tegevajaro Miyazaki score 1.4 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tokyo Musashino City | 1.1 | 1.3 | 4 | 7/15 | 5/15 |
| Tegevajaro Miyazaki | 1.4 | 2.2 | 2 | 7/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Tokyo Musashino City | 30 | 7 | 8 | 15 | 17 | 37 | 29 |
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