Gamba Osaka U23 vs Fujieda MYFC: result 3-1 and analysis
J3 LeagueRegular Season - 25Kick-off on October 1, 2017 at 10:00 AM (UTC)Suita City Football Stadium, Suita
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What was the result of Gamba Osaka U23 vs Fujieda MYFC?
Gamba Osaka U23 won 3-1 on October 1, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gamba Osaka U23 have 4 wins, 1 draws and 10 defeats; Fujieda MYFC have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2017 | Parceiro Nagano(away) | 0-3 | J3 League |
| Sep 16, 2017 | Tochigi SC(away) | 0-2 | J3 League |
| Sep 10, 2017 | Azul Claro Numazu(home) | 2-3 | J3 League |
| Sep 4, 2017 | FC Ryukyu(home) | 1-7 | J3 League |
| Aug 27, 2017 | Blaublitz Akita(away) | 0-2 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2017 | Gainare Tottori(away) | 6-1 | J3 League |
| Sep 16, 2017 | Grulla Morioka(home) | 0-2 | J3 League |
| Sep 9, 2017 | FC Ryukyu(away) | 2-2 | J3 League |
| Sep 2, 2017 | Kagoshima United(home) | 1-1 | J3 League |
| Aug 19, 2017 | Kitakyushu(away) | 1-0 | J3 League |
What does the head-to-head say?
Across the last 3 meetings: 1 Gamba Osaka U23 win(s), 0 draw(s), 2 Fujieda MYFC win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 9, 2017 | Fujieda MYFC 2-1 Gamba Osaka U23 | J3 League |
| 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 Jul 9, 2017
How many goals should we expect?
Gamba Osaka U23 score 0.9 and concede 1.9 goals per match over their last 15; Fujieda MYFC score 1.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gamba Osaka U23 | 0.9 | 1.9 | 3 | 6/15 | 7/15 |
| Fujieda MYFC | 1.7 | 0.9 | 5 | 8/15 | 6/15 |
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