YSCC vs Kataller Toyama: result 3-4 and analysis
J3 LeagueRegular Season - 22Kick-off on September 17, 2016 at 04:00 AM (UTC)NHK Spring Mitsuzawa Football Stadium, Yokohama
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What was the result of YSCC vs Kataller Toyama?
Kataller Toyama won 3-4 on September 17, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, YSCC have 3 wins, 3 draws and 9 defeats; Kataller Toyama have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Blaublitz Akita(away) | 0-3 | J3 League |
| Aug 7, 2016 | Sagamihara(home) | 1-1 | J3 League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2016 | Fujieda MYFC(home) | 2-0 | J3 League |
| Sep 3, 2016 | Kashima(away) | 0-3 | Emperor Cup |
| Aug 27, 2016 | Niigata University(home) | 1-0 | Emperor Cup |
| Aug 13, 2016 | Gainare Tottori(home) | 4-1 | J3 League |
| Aug 7, 2016 | Blaublitz Akita(home) | 0-1 | J3 League |
What does the head-to-head say?
In the last meeting: 0 YSCC wins, 0 draws, 1 Kataller Toyama win.
| Date | Score | Competition |
|---|---|---|
| Jun 26, 2016 | Kataller Toyama 1-0 YSCC | J3 League |
Last archived meeting: Kataller Toyama vs YSCC on Jun 26, 2016
How many goals should we expect?
YSCC score 0.3 and concede 1.5 goals per match over their last 15; Kataller Toyama score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| YSCC | 0.3 | 1.5 | 4 | 2/15 | 4/15 |
| Kataller Toyama | 1.1 | 1.0 | 5 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about YSCC vs Kataller Toyama?
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