Ham-Kam vs Aalesund: result 1-3 and analysis
1. DivisionRegular Season - 26Kick-off on October 7, 2018 at 01:00 PM (UTC)Briskeby Arena, Hamar
Full time
What was the result of Ham-Kam vs Aalesund?
Aalesund won 1-3 on October 7, 2018.
Goalscorers
- 31′A. Ibrahim AliyuHam-Kam
- 44′H. FriðjónssonAalesund
- 60′Torbjørn AgdesteinAalesund
- 74′P. GuèyeAalesund
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; Aalesund have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2018 | Notodden(away) | 1-0 | 1. Division |
| Sep 23, 2018 | Levanger(home) | 2-2 | 1. Division |
| Sep 16, 2018 | Strommen(away) | 2-3 | 1. Division |
| Sep 2, 2018 | Asane(home) | 2-1 | 1. Division |
| Aug 26, 2018 | Floro(away) | 1-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2018 | jerv(home) | 1-1 | 1. Division |
| Sep 25, 2018 | Mjondalen(away) | 0-2 | 1. Division |
| Sep 16, 2018 | Kongsvinger(home) | 2-1 | 1. Division |
| Sep 2, 2018 | Ull/Kisa(away) | 0-3 | 1. Division |
| Aug 29, 2018 | jerv(away) | 3-0 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 1 Ham-Kam win(s), 0 draw(s), 0 Aalesund win(s).
| Date | Score | Competition |
|---|---|---|
| May 27, 2018 | Aalesund 1-2 Ham-Kam | 1. Division |
How many goals should we expect?
Ham-Kam score 1.3 and concede 1.4 goals per match over their last 15; Aalesund score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ham-Kam | 1.3 | 1.4 | 4 | 8/15 | 8/15 |
| Aalesund | 1.7 | 1.1 | 4 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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