Match

Tochigi Uva vs Azul Claro Numazu: result 1-4 and analysis

Japan Football League1st Phase - 4Kick-off on March 27, 2016 at 05:00 AM (UTC)Tochigi City Sports Park Stadium, Tochigi

Tochigi Uva
1-4
Azul Claro Numazu

Full time

What was the result of Tochigi Uva vs Azul Claro Numazu?

Azul Claro Numazu won 1-4 on March 27, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Tochigi Uva have 1 win, 2 draws and 12 defeats; Azul Claro Numazu have 11, 1 and 3.

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

Tochigi Uva
DateOpponentScoreCompetition
Mar 20, 2016Sony Sendai(home)2-4Japan Football League
Mar 13, 2016Vanraure Hachinohe(home)1-4Japan Football League
Mar 6, 2016Osaka(away)1-2Japan Football League
Nov 15, 2015Sony Sendai(away)1-2J3 League
Nov 8, 2015Tokyo Musashino City(home)1-1J3 League
Azul Claro Numazu
DateOpponentScoreCompetition
Mar 19, 2016Ryutsu Keizai Dragons(home)4-2Japan Football League
Mar 13, 2016Fagiano Okayama II(away)1-0Japan Football League
Mar 6, 2016Urayasu(home)1-0Japan Football League
Nov 15, 2015Honda Lock(home)2-1J3 League
Nov 8, 2015Fagiano Okayama II(away)0-1J3 League

What does the head-to-head say?

Across the last 4 meetings: 0 Tochigi Uva wins, 2 draws, 2 Azul Claro Numazu wins.

DateScoreCompetition
Sep 20, 2015Tochigi Uva 0-1 Azul Claro NumazuJ3 League
May 31, 2015Azul Claro Numazu 1-1 Tochigi UvaJ3 League
Aug 2, 2014Azul Claro Numazu 2-1 Tochigi UvaJ3 League
May 18, 2014Tochigi Uva 2-2 Azul Claro NumazuJ3 League

Last archived meeting: Tochigi Uva vs Azul Claro Numazu on Sep 20, 2015

How many goals should we expect?

Tochigi Uva score 1.0 and concede 2.6 goals per match over their last 15; Azul Claro Numazu score 1.4 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tochigi Uva1.02.6010/1512/15
Azul Claro Numazu1.40.776/155/15

Over the last 15 matches in all competitions.

A question about Tochigi Uva vs Azul Claro Numazu?

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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