Ham-Kam vs Mjondalen: result 1-3 and analysis
1. DivisionRegular Season - 28Kick-off on October 30, 2018 at 06:00 PM (UTC)Briskeby Arena, Hamar
Full time
What was the result of Ham-Kam vs Mjondalen?
Mjondalen won 1-3 on October 30, 2018.
Goalscorers
- 14′Q. JansenMjondalen
- 19′Rubén Alegre GuerraMjondalen (o.g.)
- 51′O. OccéanMjondalen
- 67′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; Mjondalen have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2018 | Tromsdalen Uil(away) | 2-0 | 1. Division |
| Oct 7, 2018 | Aalesund(home) | 1-3 | 1. Division |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2018 | jerv(home) | 1-1 | 1. Division |
| Oct 7, 2018 | Ull/Kisa(away) | 2-2 | 1. Division |
| Oct 2, 2018 | Kongsvinger(home) | 2-0 | 1. Division |
| Sep 25, 2018 | Aalesund(home) | 2-0 | 1. Division |
| Sep 16, 2018 | Tromsdalen Uil(away) | 2-0 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Ham-Kam win(s), 0 draw(s), 1 Mjondalen win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 10, 2018 | Mjondalen 2-1 Ham-Kam | 1. Division |
How many goals should we expect?
Ham-Kam score 1.3 and concede 1.5 goals per match over their last 15; Mjondalen score 2.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ham-Kam | 1.3 | 1.5 | 4 | 8/15 | 8/15 |
| Mjondalen | 2.1 | 0.9 | 7 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 15 | Mjondalen | 30 | 6 | 7 | 17 | 36 | 71 | 25 |
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