Match

Blaublitz Akita vs Sagamihara: result 0-0 and analysis

J3 LeagueMatchday 34Kick-off on December 8, 2019 at 04:00 AM (UTC)Soyu Stadium, Akita

Blaublitz Akita
0-0
Sagamihara

Full time

What was the result of Blaublitz Akita vs Sagamihara?

Blaublitz Akita and Sagamihara drew 0-0 on December 8, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Blaublitz Akita have 7 wins, 4 draws and 4 defeats; Sagamihara have 4, 2 and 9.

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

Blaublitz Akita
DateOpponentScoreCompetition
Dec 1, 2019Cerezo Osaka U23(away)3-1J3 League
Nov 23, 2019Fujieda MYFC(away)0-1J3 League
Nov 17, 2019Gamba Osaka U23(home)3-0J3 League
Nov 9, 2019Tokyo U23(away)3-2J3 League
Nov 3, 2019Kitakyushu(away)0-2J3 League
Sagamihara
DateOpponentScoreCompetition
Dec 1, 2019Parceiro Nagano(home)0-1J3 League
Nov 24, 2019Roasso Kumamoto(home)1-0J3 League
Nov 17, 2019Kamatamare Sanuki(away)0-1J3 League
Nov 10, 2019YSCC(home)1-2J3 League
Nov 4, 2019Gamba Osaka U23(away)2-3J3 League

What does the head-to-head say?

Across the last 6 meetings: 4 Blaublitz Akita wins, 1 draw, 1 Sagamihara win.

DateScoreCompetition
Apr 14, 2019Sagamihara 1-2 Blaublitz AkitaJ3 League
Sep 8, 2018Sagamihara 0-1 Blaublitz AkitaJ3 League
Jul 8, 2018Blaublitz Akita 1-2 SagamiharaJ3 League
Oct 14, 2017Sagamihara 1-1 Blaublitz AkitaJ3 League
Jun 25, 2017Blaublitz Akita 1-0 SagamiharaJ3 League
Nov 6, 2016Blaublitz Akita 2-1 SagamiharaJ3 League

Last archived meeting: Sagamihara vs Blaublitz Akita on Apr 14, 2019

How many goals should we expect?

Blaublitz Akita score 1.7 and concede 0.9 goals per match over their last 15; Sagamihara score 1.1 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Blaublitz Akita1.70.947/157/15
Sagamihara1.11.537/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
3Sagamihara16943261531

A question about Blaublitz Akita vs Sagamihara?

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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