Match

Sagamihara vs Tochigi SC: result 1-0 and analysis

J3 LeagueRegular Season - 10Kick-off on May 28, 2017 at 04:00 AM (UTC)Sagamihara Gion Stadium, Sagamihara

Sagamihara
1-0
Tochigi SC

Full time

What was the result of Sagamihara vs Tochigi SC?

Sagamihara won 1-0 on May 28, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sagamihara have 3 wins, 5 draws and 7 defeats; Tochigi SC have 8, 6 and 1.

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

Sagamihara
DateOpponentScoreCompetition
May 20, 2017FC Ryukyu(away)1-1J3 League
May 14, 2017Grulla Morioka(home)1-1J3 League
May 7, 2017Azul Claro Numazu(home)2-2J3 League
Apr 16, 2017Fukushima United(away)1-1J3 League
Apr 1, 2017Kitakyushu(home)1-0J3 League
Tochigi SC
DateOpponentScoreCompetition
May 21, 2017Fukushima United(home)2-1J3 League
May 13, 2017Tokyo U23(away)1-0J3 League
May 7, 2017Kitakyushu(home)0-0J3 League
Apr 29, 2017Cerezo Osaka U23(away)1-0J3 League
Apr 16, 2017Azul Claro Numazu(home)2-1J3 League

What does the head-to-head say?

Across the last 2 meetings: 0 Sagamihara wins, 1 draw, 1 Tochigi SC win.

DateScoreCompetition
Sep 18, 2016Tochigi SC 1-1 SagamiharaJ3 League
Jul 3, 2016Sagamihara 0-2 Tochigi SCJ3 League

Last archived meeting: Tochigi SC vs Sagamihara on Sep 18, 2016

How many goals should we expect?

Sagamihara score 0.9 and concede 1.7 goals per match over their last 15; Tochigi SC score 1.3 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sagamihara0.91.729/157/15
Tochigi SC1.30.777/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Sagamihara sit 4th in J3 League (28 points from 15 matches) and Tochigi SC sit 13th (18 points from 15 matches).

2026-27 standings
#ClubPWDLGFGAPts
4Sagamihara15843251528
13Tochigi SC15465141618

A question about Sagamihara vs Tochigi SC?

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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