Kataller Toyama vs Gamba Osaka U23: result 2-0 and analysis
J3 LeagueRegular Season - 14Kick-off on June 25, 2017 at 05:00 AM (UTC)Toyama Athletic Recreation Park Stadium, Toyama
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What was the result of Kataller Toyama vs Gamba Osaka U23?
Kataller Toyama won 2-0 on June 25, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kataller Toyama have 8 wins, 4 draws and 3 defeats; Gamba Osaka U23 have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 21, 2017 | Vissel Kobe(away) | 1-3 | Emperor Cup |
| Jun 18, 2017 | Gainare Tottori(away) | 1-0 | J3 League |
| Jun 11, 2017 | Blaublitz Akita(away) | 1-1 | J3 League |
| Jun 3, 2017 | Sagamihara(home) | 2-0 | J3 League |
| May 28, 2017 | Parceiro Nagano(away) | 0-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2017 | Grulla Morioka(home) | 1-0 | J3 League |
| Jun 10, 2017 | Kitakyushu(away) | 1-2 | J3 League |
| Jun 3, 2017 | Tokyo U23(away) | 0-1 | J3 League |
| May 28, 2017 | Cerezo Osaka U23(home) | 0-0 | J3 League |
| May 21, 2017 | Azul Claro Numazu(away) | 0-4 | J3 League |
What does the head-to-head say?
Across the last 2 meetings: 1 Kataller Toyama win(s), 0 draw(s), 1 Gamba Osaka U23 win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 2, 2016 | Gamba Osaka U23 3-0 Kataller Toyama | J3 League |
| Apr 3, 2016 | Kataller Toyama 2-1 Gamba Osaka U23 | J3 League |
Last archived meeting: Gamba Osaka U23 vs Kataller Toyama on Oct 2, 2016
How many goals should we expect?
Kataller Toyama score 1.1 and concede 0.7 goals per match over their last 15; Gamba Osaka U23 score 0.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kataller Toyama | 1.1 | 0.7 | 8 | 5/15 | 3/15 |
| Gamba Osaka U23 | 0.4 | 1.5 | 3 | 3/15 | 5/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy