Sagamihara vs Kataller Toyama: result 3-2 and analysis
J3 LeagueRegular Season - 29Kick-off on October 29, 2017 at 04:30 AM (UTC)Sagamihara Gion Stadium, Sagamihara
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What was the result of Sagamihara vs Kataller Toyama?
Sagamihara won 3-2 on October 29, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sagamihara have 4 wins, 4 draws and 7 defeats; Kataller Toyama have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2017 | Fujieda MYFC(away) | 1-1 | J3 League |
| Oct 14, 2017 | Blaublitz Akita(home) | 1-1 | J3 League |
| Oct 8, 2017 | FC Ryukyu(home) | 4-2 | J3 League |
| Oct 1, 2017 | Kitakyushu(away) | 0-3 | J3 League |
| Sep 24, 2017 | YSCC(home) | 1-2 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2017 | Grulla Morioka(home) | 0-2 | J3 League |
| Oct 15, 2017 | Fujieda MYFC(home) | 4-2 | J3 League |
| 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 |
What does the head-to-head say?
Across the last 3 meetings: 0 Sagamihara win(s), 1 draw(s), 2 Kataller Toyama win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 3, 2017 | Kataller Toyama 2-0 Sagamihara | J3 League |
| Nov 20, 2016 | Kataller Toyama 1-1 Sagamihara | J3 League |
| Jun 19, 2016 | Sagamihara 0-1 Kataller Toyama | J3 League |
Last archived meeting: Kataller Toyama vs Sagamihara on Jun 3, 2017
How many goals should we expect?
Sagamihara score 1.1 and concede 1.5 goals per match over their last 15; Kataller Toyama score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sagamihara | 1.1 | 1.5 | 1 | 10/15 | 8/15 |
| Kataller Toyama | 1.3 | 1.2 | 5 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Sagamihara | 3 | 2 | 1 | 0 | 6 | 2 | 7 |
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