Frigg vs Gjøvik-Lyn: result 0-1 and analysis
2. Division - Group 2Group 2 - 6Kick-off on May 14, 2022 at 12:00 PM (UTC)Tørteberg kunstgress 2, Oslo
Full time
What was the result of Frigg vs Gjøvik-Lyn?
Gjøvik-Lyn won 0-1 on May 14, 2022.
Goalscorers
- 12′R. LekajGjøvik-Lyn
Official lineup for Frigg vs Gjøvik-Lyn
The starting elevens fielded at kick-off.
Frigg
- 10U. Ferrer
- 11V. Kaba
- 24S. Berg
- 6S. Cham
- 8J. Holmedahl
- 2M. Safari
- 4M. Rogde
- 5I. Kukleci
- 7V. Støvland
- 21J. Halsne
- 1E. Evensen
Gjøvik-Lyn
- 18A. Østerud
- 20O. Skogli
- 7R. Lekaj
- 8R. Nelson
- 21J. Sandberg
- 29M. Petterson
- 2J. Sydbøge
- 4P. Jansen
- 10D. Olsen
- 14E. Åsvestad
- 1Rafael Veloso
What is the recent form of both teams?
Over their last 15 matches in all competitions, Frigg have 8 wins, 2 draws and 5 defeats; Gjøvik-Lyn have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2022 | Vålerenga II(away) | 1-4 | 2. Division - Group 2 |
| Apr 30, 2022 | Bærum(home) | 4-1 | 2. Division - Group 2 |
| Apr 23, 2022 | Kjelsås(away) | 0-1 | 2. Division - Group 2 |
| Apr 18, 2022 | Ull/Kisa(home) | 1-3 | 2. Division - Group 2 |
| Apr 9, 2022 | Tromsdalen Uil(away) | 0-2 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2022 | Ull/Kisa(home) | 4-0 | 2. Division - Group 2 |
| May 1, 2022 | Alta(away) | 0-5 | 2. Division - Group 2 |
| Apr 23, 2022 | Træff(home) | 4-2 | 2. Division - Group 2 |
| Apr 18, 2022 | Eidsvold(away) | 1-3 | 2. Division - Group 2 |
| Apr 9, 2022 | hodd(home) | 1-1 | 2. Division - Group 2 |
How many goals should we expect?
Frigg score 2.5 and concede 1.5 goals per match over their last 15; Gjøvik-Lyn score 2.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Frigg | 2.5 | 1.5 | 3 | 9/15 | 10/15 |
| Gjøvik-Lyn | 2.6 | 1.3 | 6 | 8/15 | 12/15 |
Over the last 15 matches in all competitions.
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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