Gamba Osaka U23 vs Kataller Toyama: result 3-0 and analysis
J3 LeagueRegular Season - 24Kick-off on October 2, 2016 at 05:00 AM (UTC)Suita City Football Stadium, Suita
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What was the result of Gamba Osaka U23 vs Kataller Toyama?
Gamba Osaka U23 won 3-0 on October 2, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gamba Osaka U23 have 6 wins, 3 draws and 6 defeats; Kataller Toyama 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 |
|---|---|---|---|
| Sep 25, 2016 | Tochigi SC(away) | 2-0 | J3 League |
| Sep 18, 2016 | Kagoshima United(home) | 6-1 | J3 League |
| Sep 11, 2016 | Parceiro Nagano(away) | 0-4 | J3 League |
| Aug 7, 2016 | FC Ryukyu(home) | 1-4 | J3 League |
| Jul 31, 2016 | Grulla Morioka(away) | 0-0 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2016 | Oita Trinita(home) | 0-0 | J3 League |
| Sep 17, 2016 | YSCC(away) | 4-3 | J3 League |
| Sep 11, 2016 | Fujieda MYFC(home) | 2-0 | J3 League |
| Sep 3, 2016 | Kashima(away) | 0-3 | Emperor Cup |
| Aug 27, 2016 | Niigata University(home) | 1-0 | Emperor Cup |
What does the head-to-head say?
In the last meeting: 0 Gamba Osaka U23 wins, 0 draws, 1 Kataller Toyama win.
| Date | Score | Competition |
|---|---|---|
| Apr 3, 2016 | Kataller Toyama 2-1 Gamba Osaka U23 | J3 League |
Last archived meeting: Kataller Toyama vs Gamba Osaka U23 on Apr 3, 2016
How many goals should we expect?
Gamba Osaka U23 score 1.5 and concede 1.4 goals per match over their last 15; Kataller Toyama 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 | 1.5 | 1.4 | 4 | 8/15 | 8/15 |
| Kataller Toyama | 1.3 | 1.1 | 6 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Gamba Osaka U23 vs Kataller Toyama?
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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