Match

Blaublitz Akita vs Kitakyushu: result 0-0 and analysis

J3 LeagueRegular Season - 7Kick-off on April 27, 2019 at 04:00 AM (UTC)Soyu Stadium, Akita

Blaublitz Akita
0-0
Kitakyushu

Full time

What was the result of Blaublitz Akita vs Kitakyushu?

Blaublitz Akita and Kitakyushu drew 0-0 on April 27, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Blaublitz Akita have 4 wins, 4 draws and 7 defeats; Kitakyushu have 5, 4 and 6.

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

Blaublitz Akita
DateOpponentScoreCompetition
Apr 14, 2019Sagamihara(away)2-1J3 League
Apr 7, 2019Cerezo Osaka U23(home)3-0J3 League
Mar 31, 2019Parceiro Nagano(home)0-0J3 League
Mar 24, 2019Grulla Morioka(away)1-3J3 League
Mar 17, 2019Kamatamare Sanuki(away)0-1J3 League
Kitakyushu
DateOpponentScoreCompetition
Apr 13, 2019Azul Claro Numazu(home)0-2J3 League
Apr 7, 2019Kataller Toyama(away)1-1J3 League
Mar 31, 2019Sagamihara(home)2-1J3 League
Mar 24, 2019Gamba Osaka U23(away)1-0J3 League
Mar 17, 2019Gainare Tottori(away)2-0J3 League

What does the head-to-head say?

Across the last 4 meetings: 3 Blaublitz Akita wins, 1 draw, 0 Kitakyushu wins.

DateScoreCompetition
Nov 11, 2018Kitakyushu 0-2 Blaublitz AkitaJ3 League
May 3, 2018Blaublitz Akita 1-0 KitakyushuJ3 League
Oct 22, 2017Blaublitz Akita 1-0 KitakyushuJ3 League
Mar 12, 2017Kitakyushu 1-1 Blaublitz AkitaJ3 League

Last archived meeting: Kitakyushu vs Blaublitz Akita on Nov 11, 2018

How many goals should we expect?

Blaublitz Akita score 1.2 and concede 1.5 goals per match over their last 15; Kitakyushu score 0.8 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Blaublitz Akita1.21.547/158/15
Kitakyushu0.80.955/153/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
12Kitakyushu13445192216

A question about Blaublitz Akita vs Kitakyushu?

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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