Match

Moss vs Alta: result 0-2 and analysis

2. Division - Group 1Group 1 - 4Kick-off on August 1, 2020 at 02:00 PM (UTC)Melløs Stadion, Moss

Moss
0-2
Alta

Full time

What was the result of Moss vs Alta?

Alta won 0-2 on August 1, 2020.

Goalscorers

  • 27′C. ReginiussenAlta
  • 55′C. ReginiussenAlta

Official lineup for Moss vs Alta

The starting elevens fielded at kick-off.

Moss

  1. 10Thomas Klaussen
  2. 11T. Jakobsen
  1. 6Øystein Vestvatn
  2. 9C. Skårn
  3. 21S. Elmi
  4. 7M. Aarstrand
  5. 16H. Stokkebø
  6. 23F. Wasenius
  1. 2Aleksander Wikevand Bjørnvåg
  2. 14Trym Bergan Solli
  1. 1Anders Gundersen

Alta

  1. 8Magnus Killingberg Nikolaisen
  2. 11B. Pedersen
  1. 7D. Balto
  2. 9H. Nome
  3. 23C. Reginiussen
  4. 10S. Thomassen
  1. 3Ø. Olsen
  2. 16N. Antonsen
  3. 19R. Overvik
  4. 20H. Norbye
  1. 88Grzegorz Stanisław Flasza
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Moss have 5 wins, 2 draws and 8 defeats; Alta have 8, 4 and 3.

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

Moss
DateOpponentScoreCompetition
Jul 25, 2020Senja(away)3-12. Division - Group 1
Jul 18, 2020Eidsvold(home)1-22. Division - Group 1
Jul 11, 2020hodd(away)1-22. Division - Group 1
Mar 7, 2020Fredrikstad(home)1-4Friendlies Clubs
Feb 24, 2020Kongsvinger(away)1-5Friendlies Clubs
Alta
DateOpponentScoreCompetition
Jul 25, 2020Brattvåg(home)1-12. Division - Group 1
Jul 18, 2020Kjelsås(away)3-22. Division - Group 1
Jul 10, 2020Tromsdalen Uil(home)1-02. Division - Group 1
Oct 26, 2019Senja(away)2-12. Division - Group 2
Oct 19, 2019Grorud(home)2-32. Division - Group 2

How many goals should we expect?

Moss score 1.2 and concede 1.9 goals per match over their last 15; Alta score 1.8 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Moss1.21.9211/1511/15
Alta1.81.3310/159/15

Over the last 15 matches in all competitions.

A question about Moss vs Alta?

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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