Kataller Toyama vs Tokyo U23: result 1-2 and analysis
J3 LeagueRegular Season - 19Kick-off on August 19, 2017 at 09:30 AM (UTC)Toyama Athletic Recreation Park Stadium, Toyama
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What was the result of Kataller Toyama vs Tokyo U23?
Tokyo U23 won 1-2 on August 19, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kataller Toyama have 8 wins, 5 draws and 2 defeats; Tokyo U23 have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 22, 2017 | Gamba Osaka U23(away) | 2-0 | J3 League |
| Jul 8, 2017 | Tochigi SC(away) | 1-1 | J3 League |
| Jul 1, 2017 | Kitakyushu(home) | 2-1 | J3 League |
| Jun 25, 2017 | Gamba Osaka U23(home) | 2-0 | J3 League |
| Jun 21, 2017 | Vissel Kobe(away) | 1-3 | Emperor Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 22, 2017 | Kitakyushu(home) | 1-2 | J3 League |
| Jul 15, 2017 | Gainare Tottori(away) | 6-0 | J3 League |
| Jul 8, 2017 | Fukushima United(away) | 2-2 | J3 League |
| Jul 1, 2017 | Blaublitz Akita(home) | 1-1 | J3 League |
| Jun 25, 2017 | Azul Claro Numazu(home) | 1-6 | J3 League |
What does the head-to-head say?
Across the last 3 meetings: 2 Kataller Toyama win(s), 1 draw(s), 0 Tokyo U23 win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 12, 2017 | Tokyo U23 0-2 Kataller Toyama | J3 League |
| Oct 16, 2016 | Kataller Toyama 0-0 Tokyo U23 | J3 League |
| Apr 10, 2016 | Tokyo U23 0-3 Kataller Toyama | J3 League |
Last archived meeting: Tokyo U23 vs Kataller Toyama on Mar 12, 2017
How many goals should we expect?
Kataller Toyama score 1.2 and concede 0.6 goals per match over their last 15; Tokyo U23 score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kataller Toyama | 1.2 | 0.6 | 8 | 6/15 | 2/15 |
| Tokyo U23 | 1.1 | 1.2 | 7 | 5/15 | 6/15 |
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