Match

Sagamihara vs Blaublitz Akita: result 1-1 and analysis

J3 LeagueMatchday 27Kick-off on October 14, 2017 at 04:30 AM (UTC)Sagamihara Gion Stadium, Sagamihara

Sagamihara
1-1
Blaublitz Akita

Full time

What was the result of Sagamihara vs Blaublitz Akita?

Sagamihara and Blaublitz Akita drew 1-1 on October 14, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sagamihara have 4 wins, 3 draws and 8 defeats; Blaublitz Akita have 6, 4 and 5.

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

Sagamihara
DateOpponentScoreCompetition
Oct 8, 2017FC Ryukyu(home)4-2J3 League
Oct 1, 2017Kitakyushu(away)0-3J3 League
Sep 24, 2017YSCC(home)1-2J3 League
Sep 10, 2017Parceiro Nagano(away)0-1J3 League
Sep 3, 2017Fukushima United(home)2-1J3 League
Blaublitz Akita
DateOpponentScoreCompetition
Oct 7, 2017Tokyo U23(home)1-2J3 League
Sep 30, 2017Kagoshima United(away)1-1J3 League
Sep 24, 2017FC Ryukyu(home)1-2J3 League
Sep 17, 2017YSCC(away)1-2J3 League
Sep 10, 2017Grulla Morioka(away)3-1J3 League

What does the head-to-head say?

Across the last 5 meetings: 0 Sagamihara wins, 2 draws, 3 Blaublitz Akita wins.

DateScoreCompetition
Jun 25, 2017Blaublitz Akita 1-0 SagamiharaJ3 League
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 Jun 25, 2017

How many goals should we expect?

Sagamihara score 1.0 and concede 1.5 goals per match over their last 15; Blaublitz Akita score 1.3 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sagamihara1.01.528/158/15
Blaublitz Akita1.31.2410/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
3Sagamihara16943261531

A question about Sagamihara 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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