Tokyo U23 vs Sagamihara: result 1-0 and analysis
J3 LeagueRegular Season - 3Kick-off on March 25, 2017 at 05:00 AM (UTC)Ajinomoto Field Nishigaoka, Tokyo
Full time
What was the result of Tokyo U23 vs Sagamihara?
Tokyo U23 won 1-0 on March 25, 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; Sagamihara have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2017 | Fujieda MYFC(away) | 1-2 | J3 League |
| Mar 12, 2017 | Kataller Toyama(home) | 0-2 | J3 League |
| Nov 20, 2016 | Cerezo Osaka U23(home) | 2-0 | J3 League |
| Nov 13, 2016 | Fukushima United(away) | 2-0 | J3 League |
| Nov 5, 2016 | Parceiro Nagano(home) | 1-2 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 20, 2017 | Gamba Osaka U23(away) | 1-0 | J3 League |
| Mar 12, 2017 | Parceiro Nagano(home) | 0-1 | J3 League |
| Nov 20, 2016 | Kataller Toyama(away) | 1-1 | J3 League |
| Nov 13, 2016 | Fujieda MYFC(home) | 3-1 | J3 League |
| Nov 6, 2016 | Blaublitz Akita(away) | 1-2 | J3 League |
What does the head-to-head say?
Across the last 2 meetings: 1 Tokyo U23 win, 0 draws, 1 Sagamihara win.
| Date | Score | Competition |
|---|---|---|
| Oct 30, 2016 | Tokyo U23 4-1 Sagamihara | J3 League |
| Mar 13, 2016 | Sagamihara 1-0 Tokyo U23 | J3 League |
Last archived meeting: Tokyo U23 vs Sagamihara on Oct 30, 2016
How many goals should we expect?
Tokyo U23 score 1.1 and concede 0.9 goals per match over their last 15; Sagamihara score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tokyo U23 | 1.1 | 0.9 | 5 | 7/15 | 4/15 |
| Sagamihara | 0.9 | 1.9 | 2 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Sagamihara | 10 | 5 | 3 | 2 | 18 | 12 | 18 |
A question about Tokyo U23 vs Sagamihara?
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