Match

Kitakyushu vs Grulla Morioka: result 2-1 and analysis

J3 LeagueRegular Season - 29Kick-off on October 28, 2018 at 05:00 AM (UTC)Mikuni World Stadium, Kitakyushu

Kitakyushu
2-1
Grulla Morioka

Full time

What was the result of Kitakyushu vs Grulla Morioka?

Kitakyushu won 2-1 on October 28, 2018.

Goalscorers

  • 69′S. InoueKitakyushu
  • 76′109370Grulla Morioka
  • 90′Y. NaitoKitakyushu

What is the recent form of both teams?

Over their last 15 matches in all competitions, Kitakyushu have 3 wins, 5 draws and 7 defeats; Grulla Morioka have 6, 2 and 7.

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

Kitakyushu
DateOpponentScoreCompetition
Oct 21, 2018Tokyo U23(home)0-0J3 League
Oct 13, 2018Sagamihara(away)0-1J3 League
Oct 6, 2018FC Ryukyu(away)0-1J3 League
Sep 29, 2018Fujieda MYFC(home)1-1J3 League
Sep 22, 2018Cerezo Osaka U23(home)1-2J3 League
Grulla Morioka
DateOpponentScoreCompetition
Oct 20, 2018Kagoshima United(away)0-1J3 League
Oct 14, 2018Kataller Toyama(home)2-1J3 League
Oct 7, 2018Fujieda MYFC(away)1-2J3 League
Sep 30, 2018Fukushima United(home)2-2J3 League
Sep 21, 2018Thespakusatsu Gunma(away)1-0J3 League

What does the head-to-head say?

Across the last 3 meetings: 2 Kitakyushu wins, 0 draws, 1 Grulla Morioka win.

DateScoreCompetition
Jun 10, 2018Grulla Morioka 2-0 KitakyushuJ3 League
Sep 3, 2017Grulla Morioka 0-3 KitakyushuJ3 League
Jul 8, 2017Kitakyushu 5-1 Grulla MoriokaJ3 League

Last archived meeting: Grulla Morioka vs Kitakyushu on Jun 10, 2018

How many goals should we expect?

Kitakyushu score 0.8 and concede 1.0 goals per match over their last 15; Grulla Morioka score 1.5 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kitakyushu0.81.055/155/15
Grulla Morioka1.51.9210/1513/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
12Kitakyushu13445192216

A question about Kitakyushu vs Grulla Morioka?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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: Kitakyushu and Grulla Morioka

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