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
Full time
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 wins, 1 draw, 2 Kataller Toyama wins.
| 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Sagamihara | 11 | 6 | 3 | 2 | 20 | 12 | 21 |
A question about Sagamihara vs Kataller Toyama?
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