Kataller Toyama vs Sagamihara: result 1-1 and analysis
J3 LeagueRegular Season - 30Kick-off on November 20, 2016 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 and Sagamihara drew 1-1 on November 20, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kataller Toyama have 7 wins, 4 draws and 4 defeats; Sagamihara have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2016 | Cerezo Osaka U23(away) | 3-2 | J3 League |
| Nov 6, 2016 | FC Ryukyu(home) | 1-1 | J3 League |
| Oct 30, 2016 | Tochigi SC(away) | 0-2 | J3 League |
| Oct 23, 2016 | Gainare Tottori(away) | 1-0 | J3 League |
| Oct 16, 2016 | Tokyo U23(home) | 0-0 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2016 | Fujieda MYFC(home) | 3-1 | J3 League |
| Nov 6, 2016 | Blaublitz Akita(away) | 1-2 | J3 League |
| Oct 30, 2016 | Tokyo U23(away) | 1-4 | J3 League |
| Oct 23, 2016 | Kagoshima United(home) | 0-4 | J3 League |
| Oct 16, 2016 | Grulla Morioka(away) | 0-5 | J3 League |
What does the head-to-head say?
In the last meeting: 1 Kataller Toyama win, 0 draws, 0 Sagamihara wins.
| Date | Score | Competition |
|---|---|---|
| Jun 19, 2016 | Sagamihara 0-1 Kataller Toyama | J3 League |
Last archived meeting: Sagamihara vs Kataller Toyama on Jun 19, 2016
How many goals should we expect?
Kataller Toyama score 1.2 and concede 1.1 goals per match over their last 15; Sagamihara score 1.0 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kataller Toyama | 1.2 | 1.1 | 6 | 5/15 | 6/15 |
| Sagamihara | 1.0 | 2.1 | 2 | 10/15 | 10/15 |
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