Kagoshima United vs Sagamihara: result 1-1 and analysis
J3 LeagueRegular Season - 5Kick-off on August 13, 2016 at 08:00 AM (UTC)Shiranami Stadium, Kagoshima
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What was the result of Kagoshima United vs Sagamihara?
Kagoshima United and Sagamihara drew 1-1 on August 13, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kagoshima United have 9 wins, 2 draws and 4 defeats; Sagamihara have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2016 | Cerezo Osaka U23(away) | 2-0 | J3 League |
| Jul 31, 2016 | YSCC(home) | 4-0 | J3 League |
| Jul 24, 2016 | Kataller Toyama(away) | 1-2 | J3 League |
| Jul 16, 2016 | Tochigi SC(home) | 0-1 | J3 League |
| Jul 10, 2016 | Fukushima United(away) | 2-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2016 | YSCC(away) | 1-1 | J3 League |
| Jul 31, 2016 | Fukushima United(home) | 1-0 | J3 League |
| Jul 24, 2016 | Cerezo Osaka U23(away) | 2-2 | J3 League |
| Jul 16, 2016 | Gamba Osaka U23(home) | 1-2 | J3 League |
| Jul 10, 2016 | Gainare Tottori(away) | 1-0 | J3 League |
How many goals should we expect?
Kagoshima United score 1.6 and concede 0.9 goals per match over their last 15; Sagamihara score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kagoshima United | 1.6 | 0.9 | 6 | 7/15 | 8/15 |
| Sagamihara | 1.1 | 1.2 | 5 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Kagoshima United sit 1st in J3 League (29 points from 12 matches) and Sagamihara sit 6th (21 points from 12 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Kagoshima United | 12 | 9 | 2 | 1 | 26 | 14 | 29 |
| 6 | Sagamihara | 12 | 6 | 3 | 3 | 21 | 14 | 21 |
A question about Kagoshima United vs Sagamihara?
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