Match

Ham-Kam vs Sandefjord: result 1-0 and analysis

1. DivisionRegular Season - 15Kick-off on July 28, 2019 at 04:00 PM (UTC)Briskeby Arena, Hamar

Ham-Kam
1-0
Sandefjord

Full time

What was the result of Ham-Kam vs Sandefjord?

Ham-Kam won 1-0 on July 28, 2019.

Goalscorers

  • 43′S. NordliHam-Kam (pen.)

Official lineup for Ham-Kam vs Sandefjord

The starting elevens fielded at kick-off.

Ham-Kam

  1. 11O. Midtskogen
  2. 17S. Nordli
  1. 6Lars-Gunnar Johnsen
  2. 8M. Solbakken
  3. 10E. Sildnes
  4. 22K. Onsrud
  1. 4J. Egeris
  2. 13Rubén Alegre Guerra
  3. 14S. Pedersen
  4. 15L. Brotangen
  1. 12Ł. Jarosiński

Sandefjord

  1. 10Rufo
  2. 15P. Engblom
  1. 5Enric Vallès
  2. 9H. Storbæk
  3. 18W. Kurtović
  4. 23V. Jónsson
  5. 24Tito
  1. 2L. Grorud
  2. 13M. Høibråten
  3. 21A. Kralj
  1. 1J. Storevik
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Ham-Kam have 4 wins, 5 draws and 6 defeats; Sandefjord have 10, 4 and 1.

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

Ham-Kam
DateOpponentScoreCompetition
Jul 21, 2019Start(away)1-41. Division
Jun 29, 2019Raufoss(home)1-21. Division
Jun 23, 2019KFUM Oslo(away)0-21. Division
Jun 16, 2019Aalesund(home)1-21. Division
Jun 2, 2019jerv(home)2-21. Division
Sandefjord
DateOpponentScoreCompetition
Jul 21, 2019Kongsvinger(home)1-01. Division
Jun 30, 2019jerv(away)2-01. Division
Jun 22, 2019Ull/Kisa(home)3-21. Division
Jun 19, 2019ODD Ballklubb(home)1-1NM Cupen
Jun 16, 2019Notodden(away)2-01. Division

How many goals should we expect?

Ham-Kam score 0.9 and concede 1.3 goals per match over their last 15; Sandefjord score 1.9 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ham-Kam0.91.367/157/15
Sandefjord1.91.259/158/15

Over the last 15 matches in all competitions.

A question about Ham-Kam vs Sandefjord?

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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