Viking vs Ham-Kam: result 2-0 and analysis
1. DivisionRegular Season - 14Kick-off on June 24, 2018 at 01:00 PM (UTC)Lyse Arena, Stavanger
Full time
What was the result of Viking vs Ham-Kam?
Viking won 2-0 on June 24, 2018.
Goalscorers
- 48′T. HøilandViking
- 50′A. DanielsenViking
Official lineup for Viking vs Ham-Kam
The starting elevens fielded at kick-off.
Viking
- 10T. Høiland
- 25Usman Sale
- 2R. Martinsen
- 9F. Torsteinbø
- 14A. Danielsen
- 28K. Thorstvedt
- 3V. Vevatne
- 6L. Østigård
- 18J. Ryerson
- 23R. Vikstøl
- 15A. Wichne
Ham-Kam
- 8M. Solbakken
- 15A. Dønnum
- 17S. Nordli
- 22K. Onsrud
- 99A. Ibrahim Aliyu
- 2M. Renå Olsen
- 3O. Ómarsson
- 4J. Egeris
- 10Truls Jevne Hagen
- 27P. Nersveen
- 12Ł. Jarosiński
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viking have 8 wins, 1 draw and 6 defeats; Ham-Kam have 4, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2018 | Floro(home) | 2-1 | 1. Division |
| Jun 16, 2018 | Nest-Sotra(away) | 0-5 | 1. Division |
| Jun 9, 2018 | Sogndal(away) | 0-1 | 1. Division |
| May 27, 2018 | jerv(away) | 2-3 | 1. Division |
| May 22, 2018 | Aalesund(home) | 0-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2018 | Sogndal(home) | 1-3 | 1. Division |
| Jun 10, 2018 | Mjondalen(away) | 1-2 | 1. Division |
| Jun 3, 2018 | jerv(home) | 2-0 | 1. Division |
| May 27, 2018 | Aalesund(away) | 2-1 | 1. Division |
| May 21, 2018 | Floro(home) | 3-0 | 1. Division |
How many goals should we expect?
Viking score 1.8 and concede 1.5 goals per match over their last 15; Ham-Kam score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viking | 1.8 | 1.5 | 5 | 5/15 | 7/15 |
| Ham-Kam | 1.5 | 1.5 | 3 | 10/13 | 8/13 |
Over the last 15 matches in all competitions.
A question about Viking vs Ham-Kam?
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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