Lyn vs Sogndal: result 1-2 and analysis
1. DivisionRegular Season - 13Kick-off on June 16, 2024 at 01:00 PM (UTC)Bislett Stadion, Oslo
Full time
What was the result of Lyn vs Sogndal?
Sogndal won 1-2 on June 16, 2024.
Goalscorers
- 14′A. OlsenLyn
- 18′F. ErikssonSogndal
- 38′E. BaidooSogndal
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lyn have 5 wins, 6 draws and 4 defeats; Sogndal have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2024 | Start(away) | 4-1 | 1. Division |
| May 31, 2024 | Mjondalen(home) | 1-1 | 1. Division |
| May 27, 2024 | Raufoss(away) | 0-1 | 1. Division |
| May 23, 2024 | Sandnes ULF(home) | 5-0 | 1. Division |
| May 16, 2024 | Stabaek(away) | 2-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2024 | Egersund(home) | 2-2 | 1. Division |
| Jun 1, 2024 | Stabaek(home) | 2-3 | 1. Division |
| May 28, 2024 | Start(away) | 1-2 | 1. Division |
| May 22, 2024 | Raufoss(home) | 1-1 | 1. Division |
| May 16, 2024 | Aalesund(away) | 2-0 | 1. Division |
How many goals should we expect?
Lyn score 1.7 and concede 1.2 goals per match over their last 15; Sogndal score 1.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lyn | 1.7 | 1.2 | 3 | 10/15 | 8/15 |
| Sogndal | 1.9 | 1.2 | 3 | 11/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Lyn sit 11th in 1. Division (20 points from 18 matches) and Sogndal sit 10th (21 points from 18 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Sogndal | 18 | 6 | 3 | 9 | 32 | 43 | 21 |
| 11 | Lyn | 18 | 6 | 2 | 10 | 29 | 38 | 20 |
| 12 | Sogndal | 11 | 3 | 3 | 5 | 19 | 26 | 12 |
| 13 | Lyn | 12 | 3 | 1 | 8 | 10 | 24 | 10 |
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