Verspah Oita vs TIAMO Hirakata: result 0-1 and analysis
Japan Football LeagueRegular Season - 5Kick-off on April 11, 2021 at 04:00 AM (UTC)Oita Sports Park Field A, Oita
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What was the result of Verspah Oita vs TIAMO Hirakata?
TIAMO Hirakata won 0-1 on April 11, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Verspah Oita have 8 wins, 3 draws and 4 defeats; TIAMO Hirakata have 2, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2021 | Nara Club(away) | 1-0 | Japan Football League |
| Mar 28, 2021 | Sony Sendai(home) | 1-1 | Japan Football League |
| Mar 14, 2021 | Kochi United(home) | 0-1 | Japan Football League |
| Dec 13, 2020 | Honda(home) | 0-1 | Emperor Cup |
| Nov 29, 2020 | Osaka(home) | 3-0 | Japan Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2021 | Matsue City(home) | 1-1 | Japan Football League |
| Mar 27, 2021 | Honda(away) | 1-2 | Japan Football League |
| Mar 20, 2021 | Biwako Shiga(home) | 1-0 | Japan Football League |
| Oct 28, 2020 | Arterivo Wakayama(away) | 2-3 | Emperor Cup |
| Sep 23, 2020 | Nara Club(home) | 1-0 | Emperor Cup |
How many goals should we expect?
Verspah Oita score 1.3 and concede 0.9 goals per match over their last 15; TIAMO Hirakata score 1.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Verspah Oita | 1.3 | 0.9 | 6 | 6/15 | 6/15 |
| TIAMO Hirakata | 1.2 | 1.2 | 2 | 3/5 | 2/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Verspah Oita sit 6th in Japan Football League (49 points from 30 matches) and TIAMO Hirakata sit 4th (50 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | TIAMO Hirakata | 30 | 15 | 5 | 10 | 58 | 42 | 50 |
| 6 | Verspah Oita | 30 | 14 | 7 | 9 | 41 | 33 | 49 |
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