Honda vs Sagawa Printing: result 3-1 and analysis
J3 League1st Phase - 13Kick-off on June 8, 2014 at 04:00 AM (UTC)Honda Miyakoda Soccer Stadium, Hamamatsu
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What was the result of Honda vs Sagawa Printing?
Honda won 3-1 on June 8, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Honda have 12 wins, 2 draws and 1 defeats; Sagawa Printing have 12, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 31, 2014 | Sony Sendai(away) | 5-3 | J3 League |
| May 24, 2014 | Tokyo Musashino City(home) | 3-1 | J3 League |
| May 17, 2014 | Verspah Oita(away) | 0-2 | J3 League |
| May 11, 2014 | Biwako Shiga(home) | 5-0 | J3 League |
| May 4, 2014 | Tochigi Uva(away) | 2-0 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2014 | Renofa Yamaguchi(home) | 2-1 | J3 League |
| May 24, 2014 | Sony Sendai(home) | 2-0 | J3 League |
| May 17, 2014 | Tokyo Musashino City(away) | 1-0 | J3 League |
| May 11, 2014 | Verspah Oita(home) | 3-1 | J3 League |
| May 4, 2014 | Biwako Shiga(away) | 1-0 | J3 League |
What does the head-to-head say?
Across the last 4 meetings: 2 Honda win(s), 2 draw(s), 0 Sagawa Printing win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 13, 2013 | Honda 1-1 Sagawa Printing | J3 League |
| May 5, 2013 | Sagawa Printing 0-1 Honda | J3 League |
| Nov 4, 2012 | Honda 2-0 Sagawa Printing | J3 League |
| Apr 15, 2012 | Sagawa Printing 0-0 Honda | J3 League |
Last archived meeting: Honda vs Sagawa Printing on Jul 13, 2013
How many goals should we expect?
Honda score 2.6 and concede 0.9 goals per match over their last 15; Sagawa Printing score 1.8 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Honda | 2.6 | 0.9 | 6 | 8/15 | 10/15 |
| Sagawa Printing | 1.8 | 0.8 | 8 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy