Match

Nordvärmland vs Hisingsbacka: result 5-2 and analysis

Division 2 - Norra GötalandRegular Season - 20Kick-off on September 8, 2018 at 02:00 PM (UTC)Nyvallen, Ambjörby

Nordvärmland
5-2
Hisingsbacka

Full time

What was the result of Nordvärmland vs Hisingsbacka?

Nordvärmland won 5-2 on September 8, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Nordvärmland have 4 wins, 5 draws and 6 defeats; Hisingsbacka have 0, 4 and 11.

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

Nordvärmland
DateOpponentScoreCompetition
Sep 1, 2018Vårgårda(away)0-1Division 2 - Norra Götaland
Aug 25, 2018Karlstad(home)1-2Division 2 - Norra Götaland
Aug 18, 2018Vänersborgs FK(away)2-1Division 2 - Norra Götaland
Aug 11, 2018Örebro Syrianska(home)0-2Division 2 - Norra Götaland
Aug 4, 2018Stenungsund(home)1-1Division 2 - Norra Götaland
Hisingsbacka
DateOpponentScoreCompetition
Sep 1, 2018Skoftebyn(home)3-5Division 2 - Norra Götaland
Aug 27, 2018Uddevalla(away)1-1Division 2 - Norra Götaland
Aug 17, 2018Vårgårda(away)1-3Division 2 - Norra Götaland
Aug 11, 2018Karlstad(home)1-4Division 2 - Norra Götaland
Aug 5, 2018Örebro Syrianska(home)2-3Division 2 - Norra Götaland

What does the head-to-head say?

In the last meeting: 0 Nordvärmland wins, 1 draw, 0 Hisingsbacka wins.

DateScoreCompetition
May 19, 2018Hisingsbacka 1-1 NordvärmlandDivision 2 - Norra Götaland

Last archived meeting: Hisingsbacka vs Nordvärmland on May 19, 2018

How many goals should we expect?

Nordvärmland score 1.0 and concede 1.9 goals per match over their last 15; Hisingsbacka score 1.1 and concede 2.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Nordvärmland1.01.928/157/15
Hisingsbacka1.12.6010/1510/15

Over the last 15 matches in all competitions.

A question about Nordvärmland vs Hisingsbacka?

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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