Sagamihara vs Kataller Toyama: result 0-1 and analysis
J3 LeagueRegular Season - 13Kick-off on June 19, 2016 at 06:00 AM (UTC)Sagamihara Gion Stadium, Sagamihara
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What was the result of Sagamihara vs Kataller Toyama?
Kataller Toyama won 0-1 on June 19, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sagamihara have 9 wins, 4 draws and 2 defeats; Kataller Toyama have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2016 | Oita Trinita(away) | 0-3 | J3 League |
| May 29, 2016 | Gainare Tottori(home) | 1-0 | J3 League |
| May 22, 2016 | Gamba Osaka U23(away) | 1-0 | J3 League |
| May 15, 2016 | Fujieda MYFC(away) | 1-0 | J3 League |
| May 8, 2016 | Blaublitz Akita(home) | 2-2 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2016 | Cerezo Osaka U23(home) | 2-1 | J3 League |
| May 29, 2016 | Grulla Morioka(away) | 1-1 | J3 League |
| May 22, 2016 | Tochigi SC(home) | 0-1 | J3 League |
| May 15, 2016 | Blaublitz Akita(away) | 0-1 | J3 League |
| May 8, 2016 | Parceiro Nagano(home) | 2-0 | J3 League |
How many goals should we expect?
Sagamihara score 1.2 and concede 0.8 goals per match over their last 15; Kataller Toyama score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sagamihara | 1.2 | 0.8 | 7 | 6/15 | 6/15 |
| Kataller Toyama | 1.1 | 0.9 | 5 | 7/15 | 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.
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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