Tochigi Uva vs Kagoshima United: result 0-1 and analysis
J3 League1st Phase - 12Kick-off on June 1, 2014 at 04:00 AM (UTC)Tochigi City Sports Park Stadium, Tochigi
Full time
What was the result of Tochigi Uva vs Kagoshima United?
Kagoshima United won 0-1 on June 1, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tochigi Uva have 5 wins, 3 draws and 7 defeats; Kagoshima United have 9, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2014 | Vanraure Hachinohe(away) | 1-2 | J3 League |
| May 18, 2014 | Azul Claro Numazu(home) | 2-2 | J3 League |
| May 10, 2014 | Maruyasu Okazaki(away) | 2-2 | J3 League |
| May 4, 2014 | Honda(home) | 0-2 | J3 League |
| Apr 27, 2014 | Sagawa Printing(away) | 0-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2014 | Honda Lock(home) | 4-0 | J3 League |
| May 18, 2014 | Fagiano Okayama II(away) | 1-0 | J3 League |
| May 10, 2014 | Renofa Yamaguchi(away) | 2-1 | J3 League |
| May 4, 2014 | Vanraure Hachinohe(home) | 2-1 | J3 League |
| Apr 27, 2014 | Azul Claro Numazu(away) | 1-0 | J3 League |
How many goals should we expect?
Tochigi Uva score 0.9 and concede 1.3 goals per match over their last 15; Kagoshima United score 1.7 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tochigi Uva | 0.9 | 1.3 | 5 | 4/15 | 5/15 |
| Kagoshima United | 1.7 | 0.5 | 7 | 4/11 | 6/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Kagoshima United | 15 | 9 | 4 | 2 | 29 | 18 | 31 |
A question about Tochigi Uva vs Kagoshima United?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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