Match

Blaublitz Akita vs Sagamihara: result 1-0 and analysis

J3 LeagueRegular Season - 14Kick-off on June 25, 2017 at 05:00 AM (UTC)Soyu Stadium, Akita

Blaublitz Akita
1-0
Sagamihara

Full time

What was the result of Blaublitz Akita vs Sagamihara?

Blaublitz Akita won 1-0 on June 25, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Blaublitz Akita have 10 wins, 4 draws and 1 defeat; Sagamihara have 5, 6 and 4.

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

Blaublitz Akita
DateOpponentScoreCompetition
Jun 18, 2017Azul Claro Numazu(away)1-0J3 League
Jun 11, 2017Kataller Toyama(home)1-1J3 League
Jun 4, 2017Tochigi SC(away)1-0J3 League
May 28, 2017Kagoshima United(home)1-0J3 League
May 21, 2017Parceiro Nagano(home)0-0J3 League
Sagamihara
DateOpponentScoreCompetition
Jun 18, 2017Fujieda MYFC(home)1-0J3 League
Jun 10, 2017YSCC(away)0-0J3 League
Jun 3, 2017Kataller Toyama(away)0-2J3 League
May 28, 2017Tochigi SC(home)1-0J3 League
May 20, 2017FC Ryukyu(away)1-1J3 League

What does the head-to-head say?

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

DateScoreCompetition
Nov 6, 2016Blaublitz Akita 2-1 SagamiharaJ3 League
May 8, 2016Sagamihara 2-2 Blaublitz AkitaJ3 League
Jun 30, 2013Sagamihara 1-1 Blaublitz AkitaJ3 League
Apr 28, 2013Blaublitz Akita 2-1 SagamiharaJ3 League

Last archived meeting: Blaublitz Akita vs Sagamihara on Nov 6, 2016

How many goals should we expect?

Blaublitz Akita score 1.9 and concede 0.6 goals per match over their last 15; Sagamihara score 0.9 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Blaublitz Akita1.90.687/156/15
Sagamihara0.90.957/153/15

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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