Match

Andijan vs Nasaf: result 3-1 and analysis

Super LeagueRegular Season - 5Kick-off on April 18, 2019 at 12:00 PM (UTC)Bobur Arena, Andijan

Andijan
3-1
Nasaf

Full time

What was the result of Andijan vs Nasaf?

Andijan won 3-1 on April 18, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Andijan have 1 win, 7 draws and 7 defeats; Nasaf have 6, 4 and 5.

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

Andijan
DateOpponentScoreCompetition
Apr 13, 2019Bunyodkor(away)0-1Super League
Apr 4, 2019Lokomotiv(away)0-4Super League
Mar 31, 2019Kokand-1912(away)0-0Super League
Mar 8, 2019Qizilqum(away)1-1Super League
Nov 22, 2016Navbahor(home)1-0Super League
Nasaf
DateOpponentScoreCompetition
Apr 12, 2019Navbahor(home)0-1Super League
Apr 5, 2019Pakhtakor(away)1-2Super League
Mar 31, 2019Sogdiana(home)3-1Super League
Mar 9, 2019Dinamo Samarqand(away)1-1Super League
Nov 29, 2018Sogdiana(away)1-0Super League

What does the head-to-head say?

Across the last 6 meetings: 0 Andijan wins, 1 draw, 5 Nasaf wins.

DateScoreCompetition
Sep 17, 2016Andijan 0-0 NasafSuper League
Apr 28, 2016Nasaf 3-0 AndijanSuper League
Aug 2, 2015Andijan 0-1 NasafSuper League
Mar 12, 2015Nasaf 3-1 AndijanSuper League
Oct 1, 2014Nasaf 3-0 AndijanSuper League
May 23, 2014Andijan 0-1 NasafSuper League

Last archived meeting: Andijan vs Nasaf on Sep 17, 2016

How many goals should we expect?

Andijan score 0.3 and concede 1.4 goals per match over their last 15; Nasaf score 1.5 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Andijan0.31.464/154/15
Nasaf1.51.348/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Andijan sit 10th in Super League (30 points from 23 matches) and Nasaf sit 5th (37 points from 23 matches).

2026 standings
#ClubPWDLGFGAPts
5Nasaf231076352237
10Andijan239311293130

A question about Andijan vs Nasaf?

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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