Match

Kitakyushu vs Tokyo U23: result 2-0 and analysis

J3 LeagueRegular Season - 1Kick-off on March 10, 2019 at 05:00 AM (UTC)Mikuni World Stadium, Kitakyushu

Kitakyushu
2-0
Tokyo U23

Full time

What was the result of Kitakyushu vs Tokyo U23?

Kitakyushu won 2-0 on March 10, 2019.

Goalscorers

  • 10′A. DisaroKitakyushu
  • 87′S. KokubuKitakyushu

What is the recent form of both teams?

Over their last 15 matches in all competitions, Kitakyushu have 3 wins, 4 draws and 8 defeats; Tokyo U23 have 7, 2 and 6.

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

Kitakyushu
DateOpponentScoreCompetition
Dec 2, 2018Fukushima United(home)0-0J3 League
Nov 25, 2018Gamba Osaka U23(away)1-2J3 League
Nov 18, 2018Thespakusatsu Gunma(away)0-1J3 League
Nov 11, 2018Blaublitz Akita(home)0-2J3 League
Nov 4, 2018Gainare Tottori(away)1-1J3 League
Tokyo U23
DateOpponentScoreCompetition
Nov 23, 2018Parceiro Nagano(home)0-1J3 League
Nov 18, 2018YSCC(home)1-0J3 League
Nov 10, 2018Kagoshima United(away)1-2J3 League
Nov 3, 2018Grulla Morioka(away)2-0J3 League
Oct 28, 2018Fujieda MYFC(home)2-1J3 League

What does the head-to-head say?

Across the last 4 meetings: 3 Kitakyushu wins, 1 draw, 0 Tokyo U23 wins.

DateScoreCompetition
Oct 21, 2018Kitakyushu 0-0 Tokyo U23J3 League
Apr 14, 2018Tokyo U23 0-1 KitakyushuJ3 League
Jul 22, 2017Tokyo U23 1-2 KitakyushuJ3 League
May 28, 2017Kitakyushu 1-0 Tokyo U23J3 League

Last archived meeting: Kitakyushu vs Tokyo U23 on Oct 21, 2018

How many goals should we expect?

Kitakyushu score 0.6 and concede 1.0 goals per match over their last 15; Tokyo U23 score 1.3 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kitakyushu0.61.036/154/15
Tokyo U231.31.176/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
16Kitakyushu10244121810

A question about Kitakyushu vs Tokyo U23?

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 Tokyo U23

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