YSCC vs Sagamihara: result 1-1 and analysis
J3 LeagueRegular Season - 20Kick-off on August 7, 2016 at 08:00 AM (UTC)NHK Spring Mitsuzawa Football Stadium, Yokohama
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What was the result of YSCC vs Sagamihara?
YSCC and Sagamihara drew 1-1 on August 7, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, YSCC have 3 wins, 2 draws and 10 defeats; Sagamihara have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 31, 2016 | Kagoshima United(away) | 0-4 | J3 League |
| Jul 23, 2016 | Grulla Morioka(home) | 0-0 | J3 League |
| Jul 16, 2016 | Parceiro Nagano(away) | 0-3 | J3 League |
| Jul 10, 2016 | Tochigi SC(away) | 0-2 | J3 League |
| Jul 3, 2016 | Oita Trinita(home) | 1-0 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 31, 2016 | Fukushima United(home) | 1-0 | J3 League |
| Jul 24, 2016 | Cerezo Osaka U23(away) | 2-2 | J3 League |
| Jul 16, 2016 | Gamba Osaka U23(home) | 1-2 | J3 League |
| Jul 10, 2016 | Gainare Tottori(away) | 1-0 | J3 League |
| Jul 3, 2016 | Tochigi SC(home) | 0-2 | J3 League |
What does the head-to-head say?
In the last meeting: 1 YSCC win, 0 draws, 0 Sagamihara wins.
| Date | Score | Competition |
|---|---|---|
| Mar 20, 2016 | Sagamihara 0-1 YSCC | J3 League |
How many goals should we expect?
YSCC score 0.3 and concede 1.6 goals per match over their last 15; Sagamihara score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| YSCC | 0.3 | 1.6 | 4 | 1/15 | 4/15 |
| Sagamihara | 1.1 | 1.1 | 6 | 6/15 | 7/15 |
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 YSCC 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