Grorud vs jerv: result 0-3 and analysis
1. DivisionRegular Season - 5Kick-off on July 27, 2020 at 04:00 PM (UTC)Grorud stadion, Oslo
Full time
What was the result of Grorud vs jerv?
jerv won 0-3 on July 27, 2020.
Goalscorers
- 6′D. Camposjerv
- 41′P. Pereirajerv
- 87′O. Håbestadjerv
Official lineup for Grorud vs jerv
The starting elevens fielded at kick-off.
Grorud
- 14N. Hristov
- 19O. Aga
- 6M. Høyland
- 7Preben Mankowitz
- 8E. Hagen
- 11Kevin Mankowitz
- 3T. Murray
- 4A. Guðjónsson
- 5G. Harviken
- 32L. Cornic
- 1E. Ødegaard
jerv
- 9D. Campos
- 23O. Håbestad
- 39P. Pereira
- 6M. Wichmann
- 8Thomas Zernichow
- 11Daniel Aase
- 4E. Knudsen
- 7S. Larsen
- 15Akeem Latifu
- 19I. Mafi
- 20Ø. Øvretveit
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grorud have 6 wins, 2 draws and 7 defeats; jerv have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2020 | Kongsvinger(away) | 1-0 | 1. Division |
| Jul 13, 2020 | Sogndal(home) | 3-1 | 1. Division |
| Jul 6, 2020 | Ranheim(away) | 3-5 | 1. Division |
| Jul 3, 2020 | Lillestrom(home) | 0-1 | 1. Division |
| Jun 26, 2020 | KFUM Oslo(away) | 4-0 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2020 | Ham-Kam(home) | 3-2 | 1. Division |
| 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 |
How many goals should we expect?
Grorud score 1.6 and concede 1.7 goals per match over their last 15; jerv score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grorud | 1.6 | 1.7 | 2 | 9/15 | 9/15 |
| jerv | 1.1 | 1.7 | 1 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Grorud vs jerv?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy