Fujieda MYFC vs Gamba Osaka U23: result 2-1 and analysis
J3 LeagueRegular Season - 16Kick-off on July 9, 2017 at 08:00 AM (UTC)Fujieda City General Sports Park, Fujieda
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What was the result of Fujieda MYFC vs Gamba Osaka U23?
Fujieda MYFC won 2-1 on July 9, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fujieda MYFC have 6 wins, 3 draws and 6 defeats; Gamba Osaka U23 have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2017 | Parceiro Nagano(away) | 3-0 | J3 League |
| Jun 25, 2017 | Cerezo Osaka U23(home) | 1-0 | J3 League |
| Jun 18, 2017 | Sagamihara(away) | 0-1 | J3 League |
| Jun 10, 2017 | Gainare Tottori(home) | 1-1 | J3 League |
| Jun 4, 2017 | Fukushima United(away) | 2-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2017 | Tochigi SC(home) | 3-2 | J3 League |
| Jun 25, 2017 | Kataller Toyama(away) | 0-2 | J3 League |
| Jun 18, 2017 | Grulla Morioka(home) | 1-0 | J3 League |
| Jun 10, 2017 | Kitakyushu(away) | 1-2 | J3 League |
| Jun 3, 2017 | Tokyo U23(away) | 0-1 | J3 League |
What does the head-to-head say?
Across the last 2 meetings: 1 Fujieda MYFC win(s), 0 draw(s), 1 Gamba Osaka U23 win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 16, 2016 | Fujieda MYFC 4-0 Gamba Osaka U23 | J3 League |
| May 8, 2016 | Gamba Osaka U23 2-0 Fujieda MYFC | J3 League |
Last archived meeting: Fujieda MYFC vs Gamba Osaka U23 on Oct 16, 2016
How many goals should we expect?
Fujieda MYFC score 1.2 and concede 1.5 goals per match over their last 15; Gamba Osaka U23 score 0.5 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fujieda MYFC | 1.2 | 1.5 | 4 | 7/15 | 8/15 |
| Gamba Osaka U23 | 0.5 | 1.6 | 3 | 3/15 | 5/15 |
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