Sagamihara vs Tokyo U23: result 0-0 and analysis
J3 LeagueRegular Season - 32Kick-off on November 19, 2017 at 04:00 AM (UTC)Sagamihara Gion Stadium, Sagamihara
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What was the result of Sagamihara vs Tokyo U23?
Sagamihara and Tokyo U23 drew 0-0 on November 19, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sagamihara have 5 wins, 4 draws and 6 defeats; Tokyo U23 have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2017 | Grulla Morioka(away) | 2-0 | J3 League |
| Nov 5, 2017 | Azul Claro Numazu(away) | 0-0 | J3 League |
| Oct 29, 2017 | Kataller Toyama(home) | 3-2 | J3 League |
| Oct 22, 2017 | Fujieda MYFC(away) | 1-1 | J3 League |
| Oct 14, 2017 | Blaublitz Akita(home) | 1-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2017 | Fujieda MYFC(home) | 2-0 | J3 League |
| 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 |
What does the head-to-head say?
Across the last 3 meetings: 1 Sagamihara win(s), 0 draw(s), 2 Tokyo U23 win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 25, 2017 | Tokyo U23 1-0 Sagamihara | J3 League |
| 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 Mar 25, 2017
How many goals should we expect?
Sagamihara score 1.3 and concede 1.5 goals per match over their last 15; Tokyo U23 score 1.6 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sagamihara | 1.3 | 1.5 | 2 | 10/15 | 8/15 |
| Tokyo U23 | 1.6 | 2.0 | 4 | 9/15 | 10/15 |
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