Sagawa Printing vs YSSC: result 1-1 and analysis
J3 LeagueRegular Season - 21Kick-off on July 21, 2012 at 09:00 AM (UTC)Kyōto Nishikyogoku Stadium, Kyoto
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What was the result of Sagawa Printing vs YSSC?
Sagawa Printing and YSSC drew 1-1 on July 21, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sagawa Printing have 6 wins, 5 draws and 4 defeats; YSSC have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 15, 2012 | Fujieda MYFC(away) | 5-2 | J3 League |
| Jul 7, 2012 | Sagawa Shiga(away) | 0-4 | J3 League |
| Jun 30, 2012 | Parceiro Nagano(away) | 1-2 | J3 League |
| Jun 23, 2012 | Hoyo Oita(away) | 0-1 | J3 League |
| Jun 16, 2012 | Biwako Shiga(home) | 1-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 14, 2012 | Biwako Shiga(home) | 3-0 | J3 League |
| 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 |
What does the head-to-head say?
In the last meeting: 1 Sagawa Printing win, 0 draws, 0 YSSC wins.
| Date | Score | Competition |
|---|---|---|
| May 12, 2012 | YSSC 1-2 Sagawa Printing | J3 League |
Last archived meeting: YSSC vs Sagawa Printing on May 12, 2012
How many goals should we expect?
Sagawa Printing score 1.2 and concede 1.1 goals per match over their last 15; YSSC score 1.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sagawa Printing | 1.2 | 1.1 | 6 | 6/15 | 5/15 |
| YSSC | 1.8 | 1.3 | 4 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Sagawa Printing vs YSSC?
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