Match

Matsue City vs Honda: result 0-0 and analysis

Japan Football LeagueMatchday 29Kick-off on November 21, 2020 at 04:00 AM (UTC)Matsue Athletic Stadium, Matsue

Matsue City
0-0
Honda

Full time

What was the result of Matsue City vs Honda?

Matsue City and Honda drew 0-0 on November 21, 2020.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Matsue City have 7 wins, 2 draws and 6 defeats; Honda have 7, 6 and 2.

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

Matsue City
DateOpponentScoreCompetition
Nov 15, 2020Maruyasu Okazaki(home)1-0Japan Football League
Nov 8, 2020Iwaki(away)1-3Japan Football League
Oct 31, 2020Nara Club(home)3-2Japan Football League
Oct 25, 2020Verspah Oita(away)3-3Japan Football League
Oct 3, 2020Biwako Shiga(away)0-1Japan Football League
Honda
DateOpponentScoreCompetition
Nov 14, 2020Nara Club(away)1-1Japan Football League
Nov 7, 2020Verspah Oita(home)0-1Japan Football League
Nov 1, 2020Iwaki(away)1-1Japan Football League
Oct 28, 2020Maruyasu Okazaki(home)1-0Emperor Cup
Oct 24, 2020Kochi United(home)0-1Japan Football League

What does the head-to-head say?

Across the last 2 meetings: 0 Matsue City wins, 1 draw, 1 Honda win.

DateScoreCompetition
Jul 21, 2019Matsue City 0-2 HondaJapan Football League
Mar 17, 2019Honda 1-1 Matsue CityJapan Football League

Last archived meeting: Matsue City vs Honda on Jul 21, 2019

How many goals should we expect?

Matsue City score 1.5 and concede 1.5 goals per match over their last 15; Honda score 1.4 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Matsue City1.51.539/1511/15
Honda1.40.758/154/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
1Honda301794512860

A question about Matsue City vs Honda?

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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