Kataller Toyama vs Fujieda MYFC: result 4-2 and analysis
J3 LeagueRegular Season - 27Kick-off on October 15, 2017 at 04:00 AM (UTC)Toyama Athletic Recreation Park Stadium, Toyama
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What was the result of Kataller Toyama vs Fujieda MYFC?
Kataller Toyama won 4-2 on October 15, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kataller Toyama have 6 wins, 4 draws and 5 defeats; Fujieda MYFC have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2017 | Fukushima United(away) | 1-0 | J3 League |
| Oct 1, 2017 | Tochigi SC(home) | 1-2 | J3 League |
| Sep 23, 2017 | Kitakyushu(away) | 2-0 | J3 League |
| Sep 17, 2017 | Azul Claro Numazu(away) | 0-2 | J3 League |
| Sep 9, 2017 | Cerezo Osaka U23(home) | 0-0 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2017 | Azul Claro Numazu(home) | 2-2 | J3 League |
| Oct 1, 2017 | Gamba Osaka U23(away) | 1-3 | J3 League |
| Sep 24, 2017 | Gainare Tottori(away) | 6-1 | J3 League |
| Sep 16, 2017 | Grulla Morioka(home) | 0-2 | J3 League |
| Sep 9, 2017 | FC Ryukyu(away) | 2-2 | J3 League |
What does the head-to-head say?
Across the last 3 meetings: 1 Kataller Toyama win(s), 1 draw(s), 1 Fujieda MYFC win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 29, 2017 | Fujieda MYFC 1-1 Kataller Toyama | J3 League |
| Sep 11, 2016 | Kataller Toyama 2-0 Fujieda MYFC | J3 League |
| Jul 3, 2016 | Fujieda MYFC 2-1 Kataller Toyama | J3 League |
Last archived meeting: Fujieda MYFC vs Kataller Toyama on Apr 29, 2017
How many goals should we expect?
Kataller Toyama score 1.1 and concede 1.0 goals per match over their last 15; Fujieda MYFC score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kataller Toyama | 1.1 | 1.0 | 6 | 8/15 | 5/15 |
| Fujieda MYFC | 1.7 | 1.1 | 4 | 9/15 | 7/15 |
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