Sagawa Printing vs Machida Zelvia: result 1-2 and analysis
J3 LeagueRegular Season - 23Kick-off on August 3, 2013 at 10:00 AM (UTC)Kyōto Nishikyogoku Stadium, Kyoto
Full time
What was the result of Sagawa Printing vs Machida Zelvia?
Machida Zelvia won 1-2 on August 3, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sagawa Printing have 4 wins, 7 draws and 4 defeats; Machida Zelvia 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 |
|---|---|---|---|
| Jul 27, 2013 | Parceiro Nagano(away) | 1-2 | J3 League |
| Jul 21, 2013 | Kamatamare Sanuki(home) | 3-1 | J3 League |
| Jul 13, 2013 | Honda(away) | 1-1 | J3 League |
| Jul 6, 2013 | YSSC(home) | 0-1 | J3 League |
| Jun 30, 2013 | Fukushima United(away) | 0-0 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2013 | Biwako Shiga(home) | 3-1 | J3 League |
| Jul 21, 2013 | FC Ryukyu(away) | 2-1 | J3 League |
| Jul 14, 2013 | Tokyo Musashino City(home) | 2-2 | J3 League |
| Jul 7, 2013 | Fujieda MYFC(away) | 0-1 | J3 League |
| Jun 30, 2013 | Sony Sendai(home) | 1-1 | J3 League |
What does the head-to-head say?
In the last meeting: 0 Sagawa Printing wins, 1 draw, 0 Machida Zelvia wins.
| Date | Score | Competition |
|---|---|---|
| May 26, 2013 | Machida Zelvia 0-0 Sagawa Printing | J3 League |
Last archived meeting: Machida Zelvia vs Sagawa Printing on May 26, 2013
How many goals should we expect?
Sagawa Printing score 0.8 and concede 0.7 goals per match over their last 15; Machida Zelvia score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sagawa Printing | 0.8 | 0.7 | 6 | 6/15 | 4/15 |
| Machida Zelvia | 1.5 | 1.3 | 5 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Sagawa Printing vs Machida Zelvia?
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