Gamba Osaka U23 vs Sagamihara: result 0-1 and analysis
J3 LeagueRegular Season - 10Kick-off on May 22, 2016 at 05:00 AM (UTC)Suita City Football Stadium, Suita
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What was the result of Gamba Osaka U23 vs Sagamihara?
Sagamihara won 0-1 on May 22, 2016.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Gamba Osaka U23 have 3 wins, 3 draws and 3 defeats; Sagamihara have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2016 | FC Ryukyu(away) | 0-1 | J3 League |
| May 8, 2016 | Fujieda MYFC(home) | 2-0 | J3 League |
| May 1, 2016 | Blaublitz Akita(away) | 0-1 | J3 League |
| Apr 23, 2016 | Oita Trinita(home) | 2-2 | J3 League |
| Apr 17, 2016 | Tokyo U23(away) | 1-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2016 | Fujieda MYFC(away) | 1-0 | J3 League |
| May 8, 2016 | Blaublitz Akita(home) | 2-2 | J3 League |
| May 1, 2016 | FC Ryukyu(away) | 2-2 | J3 League |
| Apr 24, 2016 | Cerezo Osaka U23(home) | 3-1 | J3 League |
| Apr 10, 2016 | Grulla Morioka(home) | 0-0 | J3 League |
How many goals should we expect?
Gamba Osaka U23 score 1.3 and concede 1.0 goals per match over their last 9; Sagamihara score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gamba Osaka U23 | 1.3 | 1.0 | 2 | 5/9 | 4/9 |
| Sagamihara | 1.3 | 1.1 | 5 | 7/15 | 7/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Sagamihara | 10 | 5 | 3 | 2 | 18 | 12 | 18 |
A question about Gamba Osaka U23 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