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 wins, 1 draw, 2 Fujieda MYFC wins.
| 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.
A question about Tokyo U23 vs Fujieda MYFC?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy