Tochigi SC vs Kagoshima United: result 1-0 and analysis
J3 LeagueMatchday 6Kick-off on April 24, 2016 at 04:00 AM (UTC)Kanseki Stadium, Utsunomiya
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What was the result of Tochigi SC vs Kagoshima United?
Tochigi SC won 1-0 on April 24, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tochigi SC have 1 win, 5 draws and 9 defeats; Kagoshima United have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2016 | Blaublitz Akita(away) | 1-2 | J3 League |
| Apr 10, 2016 | Fukushima United(away) | 1-2 | J3 League |
| Apr 3, 2016 | Fujieda MYFC(home) | 2-0 | J3 League |
| Mar 20, 2016 | Parceiro Nagano(away) | 0-1 | J3 League |
| Mar 13, 2016 | Gainare Tottori(home) | 0-0 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2016 | Gainare Tottori(away) | 1-0 | J3 League |
| Apr 3, 2016 | YSCC(away) | 1-0 | J3 League |
| Mar 19, 2016 | Oita Trinita(home) | 0-1 | J3 League |
| Mar 13, 2016 | Kataller Toyama(home) | 0-0 | J3 League |
| Nov 15, 2015 | Maruyasu Okazaki(home) | 3-1 | J3 League |
How many goals should we expect?
Tochigi SC score 0.9 and concede 1.6 goals per match over their last 15; Kagoshima United score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tochigi SC | 0.9 | 1.6 | 2 | 8/15 | 6/15 |
| Kagoshima United | 1.3 | 0.7 | 8 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Tochigi SC sit 12th in J3 League (21 points from 16 matches) and Kagoshima United sit 4th (31 points from 16 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Kagoshima United | 16 | 9 | 4 | 3 | 29 | 19 | 31 |
| 12 | Tochigi SC | 16 | 5 | 6 | 5 | 15 | 16 | 21 |
A question about Tochigi SC vs Kagoshima United?
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