Ham-Kam vs Ull/Kisa: result 3-1 and analysis
1. DivisionRegular Season - 26Kick-off on November 7, 2020 at 02:30 PM (UTC)Briskeby Arena, Hamar
Full time
What was the result of Ham-Kam vs Ull/Kisa?
Ham-Kam won 3-1 on November 7, 2020.
Goalscorers
- 17′A. NouriHam-Kam
- 61′M. PedersenHam-Kam
- 76′K. OnsrudHam-Kam
- 90′H. KristiansenUll/Kisa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ham-Kam have 8 wins, 2 draws and 5 defeats; Ull/Kisa have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2020 | KFUM Oslo(away) | 1-1 | 1. Division |
| Nov 1, 2020 | Asane(home) | 2-1 | 1. Division |
| Oct 28, 2020 | Tromso(away) | 1-3 | 1. Division |
| Oct 24, 2020 | Sogndal(home) | 2-1 | 1. Division |
| Oct 17, 2020 | Grorud(away) | 2-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2020 | Asane(away) | 2-4 | 1. Division |
| Nov 1, 2020 | Sandnes ULF(home) | 3-0 | 1. Division |
| Oct 28, 2020 | KFUM Oslo(away) | 0-3 | 1. Division |
| Oct 24, 2020 | Grorud(home) | 2-1 | 1. Division |
| Oct 18, 2020 | Stjørdals-Blink(away) | 2-1 | 1. Division |
What does the head-to-head say?
Across the last 5 meetings: 2 Ham-Kam win(s), 3 draw(s), 0 Ull/Kisa win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 31, 2020 | Ull/Kisa 2-2 Ham-Kam | 1. Division |
| Sep 15, 2019 | Ham-Kam 2-0 Ull/Kisa | 1. Division |
| May 25, 2019 | Ull/Kisa 0-0 Ham-Kam | 1. Division |
| Nov 11, 2018 | Ham-Kam 3-1 Ull/Kisa | 1. Division |
| Apr 2, 2018 | Ull/Kisa 1-1 Ham-Kam | 1. Division |
How many goals should we expect?
Ham-Kam score 1.4 and concede 1.3 goals per match over their last 15; Ull/Kisa score 1.6 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ham-Kam | 1.4 | 1.3 | 3 | 9/15 | 9/15 |
| Ull/Kisa | 1.6 | 2.1 | 2 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
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