Gainare Tottori vs Sagamihara: result 0-1 and analysis
J3 LeagueMatchday 16Kick-off on July 10, 2016 at 08:00 AM (UTC)Axis Bird Stadium, Tottori
Full time
What was the result of Gainare Tottori vs Sagamihara?
Sagamihara won 0-1 on July 10, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gainare Tottori have 2 wins, 4 draws and 9 defeats; Sagamihara have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 3, 2016 | Grulla Morioka(away) | 0-2 | J3 League |
| Jun 25, 2016 | Cerezo Osaka U23(away) | 2-2 | J3 League |
| Jun 19, 2016 | Fukushima United(home) | 1-3 | J3 League |
| Jun 12, 2016 | Gamba Osaka U23(home) | 0-4 | J3 League |
| May 29, 2016 | Sagamihara(away) | 0-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 3, 2016 | Tochigi SC(home) | 0-2 | J3 League |
| Jun 26, 2016 | Parceiro Nagano(away) | 1-2 | J3 League |
| Jun 19, 2016 | Kataller Toyama(home) | 0-1 | J3 League |
| Jun 12, 2016 | Oita Trinita(away) | 0-3 | J3 League |
| May 29, 2016 | Gainare Tottori(home) | 1-0 | J3 League |
What does the head-to-head say?
In the last meeting: 0 Gainare Tottori wins, 0 draws, 1 Sagamihara win.
| Date | Score | Competition |
|---|---|---|
| May 29, 2016 | Sagamihara 1-0 Gainare Tottori | J3 League |
Last archived meeting: Sagamihara vs Gainare Tottori on May 29, 2016
How many goals should we expect?
Gainare Tottori score 0.5 and concede 1.4 goals per match over their last 15; Sagamihara score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gainare Tottori | 0.5 | 1.4 | 4 | 5/15 | 5/15 |
| Sagamihara | 1.0 | 1.0 | 6 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Gainare Tottori sit 17th in J3 League (15 points from 16 matches) and Sagamihara sit 3rd (31 points from 16 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Sagamihara | 16 | 9 | 4 | 3 | 26 | 15 | 31 |
| 17 | Gainare Tottori | 16 | 4 | 3 | 9 | 15 | 30 | 15 |
A question about Gainare Tottori 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