Ham-Kam vs Aalesund: result 1-2 and analysis
1. DivisionRegular Season - 11Kick-off on June 16, 2019 at 01:00 PM (UTC)Briskeby Arena, Hamar
Full time
What was the result of Ham-Kam vs Aalesund?
Aalesund won 1-2 on June 16, 2019.
Goalscorers
- 11′N. CastroAalesund
- 66′S. NordliHam-Kam
- 68′P. GuèyeAalesund
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ham-Kam have 6 wins, 5 draws and 4 defeats; Aalesund have 13, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2019 | jerv(home) | 2-2 | 1. Division |
| May 25, 2019 | Ull/Kisa(away) | 0-0 | 1. Division |
| May 22, 2019 | Grorud(away) | 0-0 | NM Cupen |
| May 16, 2019 | Kongsvinger(home) | 2-0 | 1. Division |
| May 12, 2019 | Notodden(away) | 2-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2019 | Ull/Kisa(home) | 1-0 | 1. Division |
| May 26, 2019 | jerv(away) | 0-0 | 1. Division |
| May 22, 2019 | Floro(away) | 1-0 | NM Cupen |
| May 16, 2019 | Tromsdalen Uil(home) | 5-0 | 1. Division |
| May 12, 2019 | Strommen(away) | 2-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Ham-Kam win(s), 0 draw(s), 1 Aalesund win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 7, 2018 | Ham-Kam 1-3 Aalesund | 1. Division |
| May 27, 2018 | Aalesund 1-2 Ham-Kam | 1. Division |
How many goals should we expect?
Ham-Kam score 1.2 and concede 1.0 goals per match over their last 15; Aalesund score 1.9 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ham-Kam | 1.2 | 1.0 | 6 | 7/15 | 7/15 |
| Aalesund | 1.9 | 0.4 | 10 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Aalesund | 30 | 14 | 10 | 6 | 56 | 35 | 52 |
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