Tokyo U23 vs Fujieda MYFC: result 2-0 and analysis
J3 LeagueRegular Season - 31Kick-off on November 11, 2017 at 05:00 AM (UTC)Ajinomoto Field Nishigaoka, Tokyo
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What was the result of Tokyo U23 vs Fujieda MYFC?
Tokyo U23 won 2-0 on November 11, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tokyo U23 have 5 wins, 4 draws and 6 defeats; Fujieda MYFC have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2017 | Gamba Osaka U23(away) | 3-4 | J3 League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2017 | Parceiro Nagano(home) | 4-2 | J3 League |
| Oct 29, 2017 | Tochigi SC(away) | 0-0 | J3 League |
| Oct 22, 2017 | Sagamihara(home) | 1-1 | J3 League |
| Oct 15, 2017 | Kataller Toyama(away) | 2-4 | J3 League |
| Oct 8, 2017 | Azul Claro Numazu(home) | 2-2 | J3 League |
What does the head-to-head say?
Across the last 3 meetings: 0 Tokyo U23 win(s), 1 draw(s), 2 Fujieda MYFC win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 18, 2017 | Fujieda MYFC 2-1 Tokyo U23 | J3 League |
| Jul 10, 2016 | Fujieda MYFC 2-1 Tokyo U23 | J3 League |
| Jun 12, 2016 | Tokyo U23 1-1 Fujieda MYFC | J3 League |
Last archived meeting: Fujieda MYFC vs Tokyo U23 on Mar 18, 2017
How many goals should we expect?
Tokyo U23 score 1.5 and concede 2.1 goals per match over their last 15; Fujieda MYFC score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tokyo U23 | 1.5 | 2.1 | 3 | 10/15 | 10/15 |
| Fujieda MYFC | 1.9 | 1.3 | 4 | 10/15 | 8/15 |
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