Match

Sola vs Byåsen: result 1-0 and analysis

2. Division - Group 1Regular Season - 10Kick-off on June 16, 2019 at 02:00 PM (UTC)Sola Stadion, Sola

Sola
1-0
Byåsen

Full time

What was the result of Sola vs Byåsen?

Sola won 1-0 on June 16, 2019.

Goalscorers

  • 54′Morten EriksenSola

Official lineup for Sola vs Byåsen

The starting elevens fielded at kick-off.

Sola

  1. 9Morten Eriksen
  2. 14J. Braut Brunes
  1. 4A. Idland
  2. 7A. Ravndal
  3. 16M. Svela
  4. 23Michael Andre Bekke
  5. 24R. Johansen
  6. 25A. Rosnes
  7. 88O. Lilleås
  1. 28K. Novak
  1. 12A. Lindstrand

Byåsen

  1. 11Andreas Rye
  1. 21H. Hammer
  2. 4L. Vatten
  3. 7A. Berbatovci
  4. 10M. Ingebrigtsen
  5. 15S. Nordskag
  6. 18R. Paul
  1. 5E. Langørgen
  2. 9Robin Yosefa Utseth Bjørnholm-Jatta
  3. 19S. Halgunset
  1. 1Alexander Hovdevik
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What is the recent form of both teams?

Over their last 10 matches in all competitions, Sola have 1 win, 2 draws and 7 defeats; Byåsen have 2, 2 and 6.

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

Sola
DateOpponentScoreCompetition
Jun 10, 2019Fredrikstad(away)1-52. Division - Group 1
Jun 2, 2019Stjørdals-Blink(home)1-12. Division - Group 1
May 26, 2019Levanger(away)1-32. Division - Group 1
May 18, 2019Egersund(away)0-42. Division - Group 1
May 11, 2019Nardo(home)2-32. Division - Group 1
Byåsen
DateOpponentScoreCompetition
Jun 10, 2019Moss(home)1-22. Division - Group 1
Jun 2, 2019Levanger(away)2-12. Division - Group 1
May 25, 2019Nardo(home)1-12. Division - Group 1
May 19, 2019Bryne(away)2-22. Division - Group 1
May 11, 2019Fredrikstad(home)0-12. Division - Group 1

How many goals should we expect?

Sola score 0.9 and concede 2.4 goals per match over their last 10; Byåsen score 1.2 and concede 2.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sola0.92.406/106/10
Byåsen1.22.107/107/10

Over the last 10 matches in all competitions.

A question about Sola vs Byåsen?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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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