YSCC vs Kitakyushu: result 2-1 and analysis
J3 LeagueRegular Season - 26Kick-off on October 8, 2017 at 04:00 AM (UTC)NHK Spring Mitsuzawa Football Stadium, Yokohama
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What was the result of YSCC vs Kitakyushu?
YSCC won 2-1 on October 8, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, YSCC have 5 wins, 5 draws and 5 defeats; Kitakyushu have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2017 | Azul Claro Numazu(away) | 1-1 | J3 League |
| Sep 24, 2017 | Sagamihara(away) | 2-1 | J3 League |
| Sep 17, 2017 | Blaublitz Akita(home) | 2-1 | J3 League |
| Sep 10, 2017 | Gainare Tottori(away) | 2-1 | J3 League |
| Sep 2, 2017 | Kataller Toyama(home) | 1-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2017 | Sagamihara(home) | 3-0 | J3 League |
| Sep 23, 2017 | Kataller Toyama(home) | 0-2 | J3 League |
| Sep 9, 2017 | Fukushima United(home) | 0-1 | J3 League |
| Sep 3, 2017 | Grulla Morioka(away) | 3-0 | J3 League |
| Aug 26, 2017 | FC Ryukyu(home) | 2-0 | J3 League |
What does the head-to-head say?
In the last meeting: 0 YSCC wins, 0 draws, 1 Kitakyushu win.
| Date | Score | Competition |
|---|---|---|
| Apr 30, 2017 | Kitakyushu 3-2 YSCC | J3 League |
How many goals should we expect?
YSCC score 1.3 and concede 1.3 goals per match over their last 15; Kitakyushu score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| YSCC | 1.3 | 1.3 | 3 | 9/15 | 7/15 |
| Kitakyushu | 1.5 | 1.1 | 5 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Kitakyushu | 10 | 2 | 4 | 4 | 12 | 18 | 10 |
A question about YSCC vs Kitakyushu?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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