Match

FC Ryukyu vs Blaublitz Akita: result 1-1 and analysis

J3 LeagueRegular Season - 11Kick-off on May 29, 2016 at 10:30 AM (UTC)Tapic Kenso Hiyagon Stadium, Okinawa

FC Ryukyu
1-1
Blaublitz Akita

Full time

What was the result of FC Ryukyu vs Blaublitz Akita?

FC Ryukyu and Blaublitz Akita drew 1-1 on May 29, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, FC Ryukyu have 7 wins, 4 draws and 4 defeats; Blaublitz Akita have 7, 5 and 3.

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

FC Ryukyu
DateOpponentScoreCompetition
May 22, 2016Fukushima United(away)1-1J3 League
May 15, 2016Gamba Osaka U23(home)1-0J3 League
May 8, 2016Gainare Tottori(away)0-1J3 League
May 1, 2016Sagamihara(home)2-2J3 League
Apr 24, 2016Kataller Toyama(home)2-2J3 League
Blaublitz Akita
DateOpponentScoreCompetition
May 22, 2016Parceiro Nagano(home)1-1J3 League
May 15, 2016Kataller Toyama(home)1-0J3 League
May 8, 2016Sagamihara(away)2-2J3 League
May 1, 2016Gamba Osaka U23(home)1-0J3 League
Apr 24, 2016Grulla Morioka(away)1-1J3 League

What does the head-to-head say?

Across the last 4 meetings: 0 FC Ryukyu wins, 2 draws, 2 Blaublitz Akita wins.

DateScoreCompetition
Oct 20, 2013FC Ryukyu 1-1 Blaublitz AkitaJ3 League
Jun 23, 2013Blaublitz Akita 2-2 FC RyukyuJ3 League
Nov 11, 2012Blaublitz Akita 1-0 FC RyukyuJ3 League
Mar 11, 2012FC Ryukyu 0-1 Blaublitz AkitaJ3 League

Last archived meeting: FC Ryukyu vs Blaublitz Akita on Oct 20, 2013

How many goals should we expect?

FC Ryukyu score 1.6 and concede 1.1 goals per match over their last 15; Blaublitz Akita score 1.5 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
FC Ryukyu1.61.168/158/15
Blaublitz Akita1.51.548/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
9FC Ryukyu13625161520

A question about FC Ryukyu vs Blaublitz Akita?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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