Match

Gällivare Malmbergets vs Hudiksvall: result 1-3 and analysis

Division 2 - NorrlandRegular Season - 26Kick-off on October 14, 2017 at 01:00 PM (UTC)Tallbacka IP, Malmberget

Gällivare Malmbergets
1-3
Hudiksvall

Full time

What was the result of Gällivare Malmbergets vs Hudiksvall?

Hudiksvall won 1-3 on October 14, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Gällivare Malmbergets have 3 wins, 4 draws and 8 defeats; Hudiksvall have 5, 7 and 3.

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

Gällivare Malmbergets
DateOpponentScoreCompetition
Oct 7, 2017Täfteå(away)2-4Division 2 - Norrland
Sep 30, 2017Skellefteå(home)1-2Division 2 - Norrland
Sep 23, 2017IFK Östersund(home)0-2Division 2 - Norrland
Sep 15, 2017Boden(away)0-0Division 2 - Norrland
Sep 9, 2017Söderhamn(away)3-2Division 2 - Norrland
Hudiksvall
DateOpponentScoreCompetition
Oct 7, 2017Skellefteå(home)1-3Division 2 - Norrland
Sep 30, 2017Härnösand(away)3-1Division 2 - Norrland
Sep 24, 2017Bollnäs(home)6-2Division 2 - Norrland
Sep 16, 2017IFK Östersund(away)1-1Division 2 - Norrland
Sep 9, 2017Anundsjö(away)0-0Division 2 - Norrland

What does the head-to-head say?

Across the last 3 meetings: 0 Gällivare Malmbergets win(s), 0 draw(s), 3 Hudiksvall win(s).

DateScoreCompetition
Jun 10, 2017Hudiksvall 3-2 Gällivare MalmbergetsDivision 2 - Norrland
Oct 15, 2016Gällivare Malmbergets 2-4 HudiksvallDivision 2 - Norrland
Jun 11, 2016Hudiksvall 3-0 Gällivare MalmbergetsDivision 2 - Norrland

Last archived meeting: Hudiksvall vs Gällivare Malmbergets on Jun 10, 2017

How many goals should we expect?

Gällivare Malmbergets score 1.6 and concede 2.7 goals per match over their last 15; Hudiksvall score 1.9 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Gällivare Malmbergets1.62.7212/1512/15
Hudiksvall1.91.4213/158/15

Over the last 15 matches in all competitions.

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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