Gamba Osaka U23 vs Thespakusatsu Gunma: result 4-0 and analysis
J3 LeagueRegular Season - 15Kick-off on August 18, 2018 at 10:00 AM (UTC)Suita City Football Stadium, Suita
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What was the result of Gamba Osaka U23 vs Thespakusatsu Gunma?
Gamba Osaka U23 won 4-0 on August 18, 2018.
Goalscorers
- 16′Keito NakamuraGamba Osaka U23
- 25′N. SenooGamba Osaka U23
- 56′Takaharu NishinoGamba Osaka U23
- 71′Y. FukudaGamba Osaka U23
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gamba Osaka U23 have 5 wins, 5 draws and 5 defeats; Thespakusatsu Gunma have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 22, 2018 | Grulla Morioka(away) | 1-2 | J3 League |
| Jul 16, 2018 | Kagoshima United(home) | 0-0 | J3 League |
| Jun 30, 2018 | Sagamihara(away) | 3-2 | J3 League |
| Jun 16, 2018 | Gainare Tottori(away) | 0-1 | J3 League |
| Jun 10, 2018 | Fukushima United(home) | 1-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2018 | Gainare Tottori(away) | 2-1 | J3 League |
| Jul 22, 2018 | Kagoshima United(away) | 2-0 | J3 League |
| Jul 15, 2018 | Parceiro Nagano(home) | 0-1 | J3 League |
| Jul 1, 2018 | Kataller Toyama(home) | 0-1 | J3 League |
| Jun 17, 2018 | Azul Claro Numazu(away) | 0-2 | J3 League |
How many goals should we expect?
Gamba Osaka U23 score 1.5 and concede 1.3 goals per match over their last 15; Thespakusatsu Gunma score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gamba Osaka U23 | 1.5 | 1.3 | 4 | 9/15 | 9/15 |
| Thespakusatsu Gunma | 1.1 | 1.1 | 4 | 6/15 | 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