Tokyo U23 vs YSCC: result 0-3 and analysis
J3 LeagueRegular Season - 20Kick-off on August 26, 2017 at 08:00 AM (UTC)Ajinomoto Field Nishigaoka, Tokyo
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What was the result of Tokyo U23 vs YSCC?
YSCC won 0-3 on August 26, 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; YSCC have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | Kataller Toyama(away) | 2-1 | J3 League |
| Jul 22, 2017 | Kitakyushu(home) | 1-2 | J3 League |
| Jul 15, 2017 | Gainare Tottori(away) | 6-0 | J3 League |
| Jul 8, 2017 | Fukushima United(away) | 2-2 | J3 League |
| Jul 1, 2017 | Blaublitz Akita(home) | 1-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | Tochigi SC(home) | 0-2 | J3 League |
| Jul 16, 2017 | Fujieda MYFC(home) | 1-1 | J3 League |
| Jul 9, 2017 | Blaublitz Akita(away) | 3-4 | J3 League |
| Jul 1, 2017 | FC Ryukyu(home) | 2-2 | J3 League |
| Jun 25, 2017 | Kagoshima United(away) | 0-1 | J3 League |
What does the head-to-head say?
Across the last 3 meetings: 2 Tokyo U23 wins, 0 draws, 1 YSCC win.
| Date | Score | Competition |
|---|---|---|
| Jun 18, 2017 | YSCC 0-1 Tokyo U23 | J3 League |
| Oct 2, 2016 | Tokyo U23 2-0 YSCC | J3 League |
| May 8, 2016 | YSCC 1-0 Tokyo U23 | J3 League |
How many goals should we expect?
Tokyo U23 score 1.1 and concede 1.3 goals per match over their last 15; YSCC score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tokyo U23 | 1.1 | 1.3 | 6 | 6/15 | 7/15 |
| YSCC | 1.1 | 1.7 | 2 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Tokyo U23 vs YSCC?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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