Kataller Toyama vs Sagamihara: result 2-0 and analysis
J3 LeagueRegular Season - 11Kick-off on June 3, 2017 at 04:00 AM (UTC)Toyama Athletic Recreation Park Stadium, Toyama
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What was the result of Kataller Toyama vs Sagamihara?
Kataller Toyama won 2-0 on June 3, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kataller Toyama have 7 wins, 5 draws and 3 defeats; Sagamihara have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2017 | Parceiro Nagano(away) | 0-1 | J3 League |
| May 20, 2017 | YSCC(home) | 1-0 | J3 League |
| May 13, 2017 | Cerezo Osaka U23(away) | 1-1 | J3 League |
| May 7, 2017 | Fukushima United(home) | 2-0 | J3 League |
| Apr 29, 2017 | Fujieda MYFC(away) | 1-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2017 | Tochigi SC(home) | 1-0 | J3 League |
| May 20, 2017 | FC Ryukyu(away) | 1-1 | J3 League |
| May 14, 2017 | Grulla Morioka(home) | 1-1 | J3 League |
| May 7, 2017 | Azul Claro Numazu(home) | 2-2 | J3 League |
| Apr 16, 2017 | Fukushima United(away) | 1-1 | J3 League |
What does the head-to-head say?
Across the last 2 meetings: 1 Kataller Toyama win, 1 draw, 0 Sagamihara wins.
| Date | Score | Competition |
|---|---|---|
| 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 Nov 20, 2016
How many goals should we expect?
Kataller Toyama score 1.1 and concede 0.9 goals per match over their last 15; Sagamihara score 0.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kataller Toyama | 1.1 | 0.9 | 6 | 6/15 | 3/15 |
| Sagamihara | 0.9 | 1.6 | 3 | 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | Sagamihara | 15 | 8 | 4 | 3 | 25 | 15 | 28 |
A question about Kataller Toyama vs Sagamihara?
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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