jerv vs Arendal: result 2-4 and analysis
Friendlies ClubsClub Friendlies 3Kick-off on February 11, 2023 at 01:00 PM (UTC)J.J. Ugland Stadion, Grimstad
Full time
What was the result of jerv vs Arendal?
Arendal won 2-4 on February 11, 2023.
Goalscorers
- 7′P. Wilsonjerv
- 44′?Arendal
- 56′?Arendal
- 73′?Arendal
- 80′?Arendal
- 89′?jerv
What is the recent form of both teams?
Over their last 15 matches in all competitions, jerv have 3 wins, 3 draws and 9 defeats; Arendal have 12, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2023 | Flekkerøy(home) | 5-2 | Friendlies Clubs |
| Nov 13, 2022 | Kristiansund BK(away) | 1-1 | Eliteserien |
| Nov 6, 2022 | Rosenborg(home) | 2-4 | Eliteserien |
| Oct 30, 2022 | Tromso(away) | 2-2 | Eliteserien |
| Oct 23, 2022 | Viking(home) | 2-2 | Eliteserien |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 3, 2023 | Fram(away) | 2-1 | Friendlies Clubs |
| Nov 5, 2022 | Skeid(home) | 1-2 | 1. Division |
| Nov 2, 2022 | Skeid(away) | 0-6 | 1. Division |
| Oct 22, 2022 | Odd II(away) | 5-1 | 2. Division - Group 1 |
| Oct 15, 2022 | Egersund(home) | 1-0 | 2. Division - Group 1 |
What does the head-to-head say?
Across the last 3 meetings: 0 jerv wins, 1 draw, 2 Arendal wins.
| Date | Score | Competition |
|---|---|---|
| Jun 27, 2020 | jerv 1-3 Arendal | Friendlies Clubs |
| Aug 16, 2017 | jerv 2-3 Arendal | 1. Division |
| May 6, 2017 | Arendal 1-1 jerv | 1. Division |
How many goals should we expect?
jerv score 1.6 and concede 2.4 goals per match over their last 15; Arendal score 2.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| jerv | 1.6 | 2.4 | 1 | 11/15 | 11/15 |
| Arendal | 2.3 | 1.6 | 6 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about jerv vs Arendal?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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