Ham-Kam vs Asane: result 2-1 and analysis
1. DivisionRegular Season - 22Kick-off on September 2, 2018 at 12:00 PM (UTC)Briskeby Arena, Hamar
Full time
What was the result of Ham-Kam vs Asane?
Ham-Kam won 2-1 on September 2, 2018.
Goalscorers
- 13′T. KristoffersenAsane
- 15′Ivar Sollie RønningHam-Kam
- 57′S. NordliHam-Kam
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ham-Kam have 6 wins, 2 draws and 7 defeats; Asane have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2018 | Floro(away) | 1-0 | 1. Division |
| Aug 19, 2018 | Nest-Sotra(away) | 0-1 | 1. Division |
| Aug 12, 2018 | Kongsvinger(home) | 3-1 | 1. Division |
| Aug 5, 2018 | jerv(away) | 3-2 | 1. Division |
| Jul 31, 2018 | Viking(home) | 2-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2018 | Tromsdalen Uil(home) | 3-1 | 1. Division |
| Aug 21, 2018 | Mjondalen(away) | 1-1 | 1. Division |
| Aug 12, 2018 | Viking(home) | 1-2 | 1. Division |
| Aug 5, 2018 | Aalesund(away) | 0-1 | 1. Division |
| Jul 29, 2018 | Levanger(away) | 2-1 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Ham-Kam win(s), 1 draw(s), 0 Asane win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 15, 2018 | Asane 1-1 Ham-Kam | 1. Division |
How many goals should we expect?
Ham-Kam score 1.3 and concede 1.3 goals per match over their last 15; Asane score 1.4 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ham-Kam | 1.3 | 1.3 | 4 | 8/15 | 8/15 |
| Asane | 1.4 | 1.7 | 2 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Asane | 18 | 5 | 2 | 11 | 27 | 40 | 17 |
| 14 | Asane | 11 | 3 | 1 | 7 | 15 | 23 | 9 |
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