Thespakusatsu Gunma vs FC Ryukyu: result 0-2 and analysis
J3 LeagueRegular Season - 4Kick-off on March 25, 2018 at 07:00 AM (UTC)Shoda Shoyu Stadium, Maebashi
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What was the result of Thespakusatsu Gunma vs FC Ryukyu?
FC Ryukyu won 0-2 on March 25, 2018.
Goalscorers
- 9′Y. TomidokoroFC Ryukyu
- 79′Yuichiro EdamotoFC Ryukyu
What is the recent form of both teams?
Over their last 15 matches in all competitions, Thespakusatsu Gunma have 2 wins, 2 draws and 11 defeats; FC Ryukyu have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2018 | Blaublitz Akita(home) | 1-0 | J3 League |
| Mar 11, 2018 | Fukushima United(away) | 1-2 | J3 League |
| Nov 19, 2017 | V-varen Nagasaki(home) | 1-4 | J2 League |
| Nov 12, 2017 | Ehime FC(away) | 2-4 | J2 League |
| Nov 5, 2017 | Kyoto Sanga(home) | 1-1 | J2 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 21, 2018 | Gainare Tottori(home) | 2-2 | J3 League |
| Mar 17, 2018 | Kitakyushu(away) | 2-1 | J3 League |
| Mar 11, 2018 | Kataller Toyama(home) | 4-3 | J3 League |
| Dec 3, 2017 | Kataller Toyama(home) | 1-0 | J3 League |
| Nov 19, 2017 | Azul Claro Numazu(away) | 0-1 | J3 League |
How many goals should we expect?
Thespakusatsu Gunma score 0.9 and concede 2.3 goals per match over their last 15; FC Ryukyu score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Thespakusatsu Gunma | 0.9 | 2.3 | 2 | 9/15 | 9/15 |
| FC Ryukyu | 1.5 | 1.3 | 4 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Thespakusatsu Gunma sit 20th in J3 League (0 points from 3 matches) and FC Ryukyu sit 18th (1 points from 2 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | FC Ryukyu | 2 | 0 | 1 | 1 | 2 | 3 | 1 |
| 20 | Thespakusatsu Gunma | 3 | 0 | 0 | 3 | 3 | 8 | 0 |
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