YSCC vs Kataller Toyama: result 1-1 and analysis
J3 LeagueRegular Season - 21Kick-off on September 2, 2017 at 09:00 AM (UTC)NHK Spring Mitsuzawa Football Stadium, Yokohama
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What was the result of YSCC vs Kataller Toyama?
YSCC and Kataller Toyama drew 1-1 on September 2, 2017.
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, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2017 | Tokyo U23(away) | 3-0 | J3 League |
| Aug 19, 2017 | Tochigi SC(home) | 0-2 | J3 League |
| Jul 16, 2017 | Fujieda MYFC(home) | 1-1 | J3 League |
| Jul 9, 2017 | Blaublitz Akita(away) | 3-4 | J3 League |
| Jul 1, 2017 | FC Ryukyu(home) | 2-2 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2017 | Kagoshima United(away) | 1-2 | J3 League |
| Aug 19, 2017 | Tokyo U23(home) | 1-2 | J3 League |
| Jul 22, 2017 | Gamba Osaka U23(away) | 2-0 | J3 League |
| Jul 8, 2017 | Tochigi SC(away) | 1-1 | J3 League |
| Jul 1, 2017 | Kitakyushu(home) | 2-1 | J3 League |
What does the head-to-head say?
Across the last 3 meetings: 0 YSCC wins, 0 draws, 3 Kataller Toyama wins.
| Date | Score | Competition |
|---|---|---|
| May 20, 2017 | Kataller Toyama 1-0 YSCC | J3 League |
| Sep 17, 2016 | YSCC 3-4 Kataller Toyama | J3 League |
| Jun 26, 2016 | Kataller Toyama 1-0 YSCC | J3 League |
Last archived meeting: Kataller Toyama vs YSCC on May 20, 2017
How many goals should we expect?
YSCC score 1.1 and concede 1.6 goals per match over their last 15; Kataller Toyama score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| YSCC | 1.1 | 1.6 | 3 | 8/15 | 8/15 |
| Kataller Toyama | 1.3 | 0.9 | 6 | 8/15 | 4/15 |
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