Match

Kamatamare Sanuki vs Sagamihara: result 1-0 and analysis

J3 LeagueMatchday 29Kick-off on October 20, 2013 at 04:00 AM (UTC)Pikara Stadium, Marugame

Kamatamare Sanuki
1-0
Sagamihara

Full time

What was the result of Kamatamare Sanuki vs Sagamihara?

Kamatamare Sanuki won 1-0 on October 20, 2013.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Kamatamare Sanuki have 9 wins, 1 draw and 5 defeats; Sagamihara have 9, 2 and 4.

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

Kamatamare Sanuki
DateOpponentScoreCompetition
Oct 6, 2013Hoyo Oita(away)3-1J3 League
Sep 29, 2013Kanazawa(home)3-2J3 League
Sep 22, 2013Blaublitz Akita(away)1-2J3 League
Sep 15, 2013Parceiro Nagano(home)0-0J3 League
Sep 8, 2013JEF United Chiba(away)0-5Emperor Cup
Sagamihara
DateOpponentScoreCompetition
Oct 5, 2013Fukushima United(home)3-2J3 League
Sep 29, 2013Tochigi Uva(away)4-3J3 League
Sep 22, 2013Honda Lock(away)4-2J3 League
Sep 14, 2013YSSC(away)4-1J3 League
Aug 11, 2013Sagawa Printing(home)0-0J3 League

What does the head-to-head say?

In the last meeting: 1 Kamatamare Sanuki win, 0 draws, 0 Sagamihara wins.

DateScoreCompetition
Jun 23, 2013Sagamihara 0-1 Kamatamare SanukiJ3 League

Last archived meeting: Sagamihara vs Kamatamare Sanuki on Jun 23, 2013

How many goals should we expect?

Kamatamare Sanuki score 1.7 and concede 1.3 goals per match over their last 15; Sagamihara score 2.2 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kamatamare Sanuki1.71.358/159/15
Sagamihara2.21.149/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Kamatamare Sanuki sit 18th in J3 League (14 points from 16 matches) and Sagamihara sit 3rd (31 points from 16 matches).

2026-27 standings
#ClubPWDLGFGAPts
3Sagamihara16943261531
18Kamatamare Sanuki164210172714

A question about Kamatamare Sanuki 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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Next match: Kamatamare Sanuki and Sagamihara