Gamba Osaka U23 vs Tokyo U23: result 4-3 and analysis
J3 LeagueRegular Season - 30Kick-off on November 5, 2017 at 05:00 AM (UTC)Suita City Football Stadium, Suita
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What was the result of Gamba Osaka U23 vs Tokyo U23?
Gamba Osaka U23 won 4-3 on November 5, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gamba Osaka U23 have 4 wins, 2 draws and 9 defeats; Tokyo U23 have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2017 | Kitakyushu(home) | 2-2 | J3 League |
| Oct 22, 2017 | Gainare Tottori(away) | 0-0 | J3 League |
| Oct 15, 2017 | Fukushima United(home) | 1-2 | J3 League |
| Oct 7, 2017 | Cerezo Osaka U23(away) | 2-3 | J3 League |
| Oct 1, 2017 | Fujieda MYFC(home) | 3-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | Fukushima United(home) | 1-1 | J3 League |
| Oct 21, 2017 | FC Ryukyu(away) | 1-1 | J3 League |
| Oct 16, 2017 | Gainare Tottori(home) | 1-0 | J3 League |
| Oct 7, 2017 | Blaublitz Akita(away) | 2-1 | J3 League |
| Oct 1, 2017 | Grulla Morioka(home) | 1-6 | J3 League |
What does the head-to-head say?
Across the last 3 meetings: 0 Gamba Osaka U23 win(s), 2 draw(s), 1 Tokyo U23 win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 3, 2017 | Tokyo U23 1-0 Gamba Osaka U23 | J3 League |
| Oct 23, 2016 | Gamba Osaka U23 1-1 Tokyo U23 | J3 League |
| Apr 17, 2016 | Tokyo U23 1-1 Gamba Osaka U23 | J3 League |
Last archived meeting: Tokyo U23 vs Gamba Osaka U23 on Jun 3, 2017
How many goals should we expect?
Gamba Osaka U23 score 1.3 and concede 2.1 goals per match over their last 15; Tokyo U23 score 1.4 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gamba Osaka U23 | 1.3 | 2.1 | 2 | 9/15 | 10/15 |
| Tokyo U23 | 1.4 | 2.2 | 3 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
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