Match

Ham-Kam vs Tromsdalen Uil: result 0-0 and analysis

1. DivisionRegular Season - 15Kick-off on July 1, 2018 at 04:00 PM (UTC)Briskeby Arena, Hamar

Ham-Kam
0-0
Tromsdalen Uil

Full time

What was the result of Ham-Kam vs Tromsdalen Uil?

Ham-Kam and Tromsdalen Uil drew 0-0 on July 1, 2018.

Official lineup for Ham-Kam vs Tromsdalen Uil

The starting elevens fielded at kick-off.

Ham-Kam

  1. 8M. Solbakken
  2. 15A. Dønnum
  3. 17S. Nordli
  4. 22K. Onsrud
  5. 99A. Ibrahim Aliyu
  1. 3O. Ómarsson
  2. 4J. Egeris
  3. 10Truls Jevne Hagen
  4. 14N. Mickelson
  5. 27P. Nersveen
  1. 1M. Priis Jørgensen

Tromsdalen Uil

  1. 7H. Kjæve
  2. 10Vegard Bergstedt Lysvoll
  1. 4Lars-Gunnar Johnsen
  2. 19Anders Karlsen
  3. 66Andreas Løvland
  4. 71Lars Henrik Andreassen
  1. 2S. Pedersen
  2. 3A. Jenssen
  3. 13Jo Nymo Matland
  4. 15K. Hay
  1. 30Marius Wennersteen Berntzen
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What is the recent form of both teams?

Over their last 14 matches in all competitions, Ham-Kam have 4 wins, 4 draws and 6 defeats; Tromsdalen Uil have 7, 3 and 5.

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

Ham-Kam
DateOpponentScoreCompetition
Jun 24, 2018Viking(away)0-21. Division
Jun 17, 2018Sogndal(home)1-31. Division
Jun 10, 2018Mjondalen(away)1-21. Division
Jun 3, 2018jerv(home)2-01. Division
May 27, 2018Aalesund(away)2-11. Division
Tromsdalen Uil
DateOpponentScoreCompetition
Jun 24, 2018Floro(home)1-01. Division
Jun 17, 2018Strommen(away)3-11. Division
Jun 10, 2018Asane(home)1-01. Division
Jun 6, 2018jerv(home)1-01. Division
Jun 3, 2018Ull/Kisa(away)2-41. Division

How many goals should we expect?

Ham-Kam score 1.4 and concede 1.6 goals per match over their last 14; Tromsdalen Uil score 1.4 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ham-Kam1.41.6310/148/14
Tromsdalen Uil1.41.558/158/15

Over the last 14 matches in all competitions.

A question about Ham-Kam vs Tromsdalen Uil?

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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