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
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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(s), 0 draw(s), 1 Sagamihara win(s).
| 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Sagamihara | 3 | 2 | 1 | 0 | 6 | 2 | 7 |
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