Match

Osaka vs Verspah Oita: result 4-0 and analysis

Japan Football League2nd Phase - 11Kick-off on October 16, 2016 at 04:00 AM (UTC)Hanazono Rugby Stadium, Higashiosaka

Osaka
4-0
Verspah Oita

Full time

What was the result of Osaka vs Verspah Oita?

Osaka won 4-0 on October 16, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Osaka have 6 wins, 2 draws and 7 defeats; Verspah Oita have 5, 4 and 6.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Osaka
DateOpponentScoreCompetition
Sep 25, 2016Honda Lock(away)2-3Japan Football League
Sep 17, 2016Fagiano Okayama II(away)1-0Japan Football League
Sep 11, 2016Ryutsu Keizai Dragons(home)0-0Japan Football League
Jul 30, 2016Tokyo Musashino City(away)1-0Japan Football League
Jul 24, 2016Nara Club(home)0-1Japan Football League
Verspah Oita
DateOpponentScoreCompetition
Sep 25, 2016Vanraure Hachinohe(home)1-2Japan Football League
Sep 18, 2016Tochigi Uva(away)3-0Japan Football League
Sep 11, 2016Maruyasu Okazaki(home)1-0Japan Football League
Aug 7, 2016Honda Lock(home)0-1Japan Football League
Jul 31, 2016Biwako Shiga(away)1-1Japan Football League

What does the head-to-head say?

Across the last 3 meetings: 0 Osaka wins, 2 draws, 1 Verspah Oita win.

DateScoreCompetition
Apr 10, 2016Verspah Oita 1-1 OsakaJapan Football League
Nov 1, 2015Osaka 2-2 Verspah OitaJ3 League
May 17, 2015Verspah Oita 2-1 OsakaJ3 League

Last archived meeting: Verspah Oita vs Osaka on Apr 10, 2016

How many goals should we expect?

Osaka score 1.1 and concede 1.1 goals per match over their last 15; Verspah Oita score 1.2 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Osaka1.11.147/157/15
Verspah Oita1.21.339/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
6Verspah Oita301479413349

A question about Osaka vs Verspah Oita?

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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

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