YSSC vs Biwako Shiga: result 3-0 and analysis
J3 LeagueRegular Season - 20Kick-off on July 14, 2012 at 06:00 AM (UTC)NHK Spring Mitsuzawa Football Stadium
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What was the result of YSSC vs Biwako Shiga?
YSSC won 3-0 on July 14, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, YSSC have 8 wins, 2 draws and 5 defeats; Biwako Shiga 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 8, 2012 | Blaublitz Akita(away) | 1-0 | J3 League |
| Jul 1, 2012 | Tokyo Musashino City(home) | 1-2 | J3 League |
| Jun 23, 2012 | Honda(home) | 0-2 | J3 League |
| Jun 16, 2012 | Kanazawa(home) | 1-2 | J3 League |
| Jun 10, 2012 | Honda Lock(home) | 4-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 8, 2012 | Fujieda MYFC(home) | 1-0 | J3 League |
| Jul 1, 2012 | Sagawa Shiga(away) | 0-4 | J3 League |
| Jun 24, 2012 | Kamatamare Sanuki(home) | 1-1 | J3 League |
| Jun 16, 2012 | Sagawa Printing(away) | 1-1 | J3 League |
| Jun 10, 2012 | Hoyo Oita(away) | 5-0 | J3 League |
What does the head-to-head say?
In the last meeting: 0 YSSC wins, 1 draw, 0 Biwako Shiga wins.
| Date | Score | Competition |
|---|---|---|
| May 6, 2012 | Biwako Shiga 2-2 YSSC | J3 League |
How many goals should we expect?
YSSC score 1.9 and concede 1.3 goals per match over their last 15; Biwako Shiga score 1.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| YSSC | 1.9 | 1.3 | 3 | 10/15 | 10/15 |
| Biwako Shiga | 1.8 | 1.5 | 3 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 10 | Biwako Shiga | 10 | 4 | 2 | 4 | 16 | 16 | 14 |
A question about YSSC vs Biwako Shiga?
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