Kataller Toyama vs Imabari: result 1-1 and analysis
J3 LeagueRegular Season - 13Kick-off on June 26, 2021 at 09:00 AM (UTC)Toyama Athletic Recreation Park Stadium, Toyama
Full time
What was the result of Kataller Toyama vs Imabari?
Kataller Toyama and Imabari drew 1-1 on June 26, 2021.
Goalscorers
- 36′W. HaradaImabari
- 76′Yusuke TanakaKataller Toyama
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kataller Toyama have 7 wins, 3 draws and 5 defeats; Imabari have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2021 | Parceiro Nagano(away) | 0-4 | J3 League |
| Jun 13, 2021 | Roasso Kumamoto(home) | 1-1 | J3 League |
| Jun 9, 2021 | Urawa(away) | 0-1 | Emperor Cup |
| May 30, 2021 | Gainare Tottori(away) | 3-0 | J3 League |
| May 23, 2021 | Hokuriku University(home) | 8-0 | Emperor Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2021 | FC Gifu(home) | 3-0 | J3 League |
| Jun 13, 2021 | Fujieda MYFC(away) | 1-1 | J3 League |
| Jun 9, 2021 | Kyoto Sanga(away) | 1-3 | Emperor Cup |
| Jun 5, 2021 | Parceiro Nagano(home) | 0-0 | J3 League |
| May 30, 2021 | Vanraure Hachinohe(away) | 1-2 | J3 League |
What does the head-to-head say?
Across the last 2 meetings: 1 Kataller Toyama win(s), 0 draw(s), 1 Imabari win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 13, 2020 | Kataller Toyama 1-3 Imabari | J3 League |
| Aug 23, 2020 | Imabari 0-3 Kataller Toyama | J3 League |
Last archived meeting: Kataller Toyama vs Imabari on Dec 13, 2020
How many goals should we expect?
Kataller Toyama score 1.9 and concede 1.3 goals per match over their last 15; Imabari score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kataller Toyama | 1.9 | 1.3 | 5 | 8/15 | 10/15 |
| Imabari | 1.3 | 1.3 | 3 | 10/15 | 8/15 |
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