Ham-Kam vs Skeid: result 2-1 and analysis
1. DivisionRegular Season - 26Kick-off on October 6, 2019 at 01:00 PM (UTC)Briskeby Arena, Hamar
Full time
What was the result of Ham-Kam vs Skeid?
Ham-Kam won 2-1 on October 6, 2019.
Goalscorers
- 25′Stian Kommandantvold PettersenSkeid
- 55′J. EnkerudHam-Kam
- 58′K. OnsrudHam-Kam
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ham-Kam have 6 wins, 1 draws and 8 defeats; Skeid have 1, 5 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Sandefjord(away) | 0-2 | 1. Division |
| Sep 22, 2019 | Start(home) | 4-0 | 1. Division |
| Sep 18, 2019 | Raufoss(away) | 2-1 | 1. Division |
| Sep 15, 2019 | Ull/Kisa(home) | 2-0 | 1. Division |
| Sep 1, 2019 | Tromsdalen Uil(away) | 5-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2019 | Strommen(home) | 1-1 | 1. Division |
| Sep 22, 2019 | Nest-Sotra(away) | 1-2 | 1. Division |
| Sep 18, 2019 | Sogndal(home) | 2-2 | 1. Division |
| Sep 15, 2019 | KFUM Oslo(away) | 1-2 | 1. Division |
| Aug 31, 2019 | Kongsvinger(home) | 0-2 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Ham-Kam win(s), 0 draw(s), 1 Skeid win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 31, 2019 | Skeid 1-0 Ham-Kam | 1. Division |
How many goals should we expect?
Ham-Kam score 1.7 and concede 1.8 goals per match over their last 15; Skeid score 1.0 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ham-Kam | 1.7 | 1.8 | 4 | 8/15 | 9/15 |
| Skeid | 1.0 | 1.9 | 1 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Skeid | 30 | 2 | 9 | 19 | 35 | 66 | 15 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy