Thespakusatsu Gunma vs Tokyo U23: result 4-1 and analysis
J3 LeagueRegular Season - 11Kick-off on May 20, 2018 at 10:00 AM (UTC)Shoda Shoyu Stadium, Maebashi
Full time
What was the result of Thespakusatsu Gunma vs Tokyo U23?
Thespakusatsu Gunma won 4-1 on May 20, 2018.
Goalscorers
- 16′T. KuboTokyo U23
- 28′K. OshimaThespakusatsu Gunma
- 40′K. OshimaThespakusatsu Gunma
- 45′K. OshimaThespakusatsu Gunma
- 52′T. KobayashiThespakusatsu Gunma
What is the recent form of both teams?
Over their last 15 matches in all competitions, Thespakusatsu Gunma have 3 wins, 4 draws and 8 defeats; Tokyo U23 have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2018 | Parceiro Nagano(away) | 2-2 | J3 League |
| May 3, 2018 | Sagamihara(home) | 1-1 | J3 League |
| Apr 29, 2018 | Kitakyushu(away) | 1-0 | J3 League |
| Apr 15, 2018 | Fujieda MYFC(home) | 2-1 | J3 League |
| Apr 7, 2018 | Kagoshima United(home) | 0-2 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2018 | Gainare Tottori(home) | 0-0 | J3 League |
| May 3, 2018 | Grulla Morioka(home) | 2-0 | J3 League |
| Apr 14, 2018 | Kitakyushu(home) | 0-1 | J3 League |
| Apr 1, 2018 | Cerezo Osaka U23(away) | 0-2 | J3 League |
| Mar 25, 2018 | Kataller Toyama(home) | 3-0 | J3 League |
How many goals should we expect?
Thespakusatsu Gunma score 1.1 and concede 1.9 goals per match over their last 15; Tokyo U23 score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Thespakusatsu Gunma | 1.1 | 1.9 | 2 | 11/15 | 8/15 |
| Tokyo U23 | 1.0 | 1.3 | 5 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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