jerv vs Ham-Kam: result 3-2 and analysis
1. DivisionRegular Season - 4Kick-off on July 20, 2020 at 04:00 PM (UTC)J.J. Ugland Stadion, Grimstad
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What was the result of jerv vs Ham-Kam?
jerv won 3-2 on July 20, 2020.
Goalscorers
- 45′T. SvendsenHam-Kam
- 52′T. SvendsenHam-Kam
- 82′A. Daghimjerv (o.g.)
- 86′J. Norheimjerv
- 90′M. Baidoojerv
What is the recent form of both teams?
Over their last 15 matches in all competitions, jerv have 2 wins, 3 draws and 10 defeats; Ham-Kam have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 13, 2020 | Ull/Kisa(away) | 2-2 | 1. Division |
| Jul 6, 2020 | Sandnes ULF(home) | 2-2 | 1. Division |
| Jul 3, 2020 | KFUM Oslo(away) | 1-2 | 1. Division |
| Jun 27, 2020 | Arendal(home) | 1-3 | Friendlies Clubs |
| Jun 22, 2020 | Egersund(away) | 1-1 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 13, 2020 | Øygarden(home) | 3-4 | 1. Division |
| Jul 7, 2020 | Lillestrom(away) | 0-2 | 1. Division |
| Jul 3, 2020 | Kongsvinger(home) | 2-3 | 1. Division |
| Jun 25, 2020 | Raufoss(home) | 2-2 | Friendlies Clubs |
| Jun 20, 2020 | Sogndal(home) | 1-1 | Friendlies Clubs |
What does the head-to-head say?
Across the last 5 meetings: 1 jerv win(s), 1 draw(s), 3 Ham-Kam win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 1, 2020 | Ham-Kam 2-0 jerv | Friendlies Clubs |
| Aug 11, 2019 | jerv 1-0 Ham-Kam | 1. Division |
| Jun 2, 2019 | Ham-Kam 2-2 jerv | 1. Division |
| Aug 5, 2018 | jerv 2-3 Ham-Kam | 1. Division |
| Jun 3, 2018 | Ham-Kam 2-0 jerv | 1. Division |
How many goals should we expect?
jerv score 0.9 and concede 1.9 goals per match over their last 15; Ham-Kam score 1.6 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| jerv | 0.9 | 1.9 | 1 | 7/15 | 8/15 |
| Ham-Kam | 1.6 | 1.9 | 2 | 10/15 | 11/15 |
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