Junkeren vs Skeid: result 0-2 and analysis
2. Division - Group 2Group 2 - 6Kick-off on May 12, 2024 at 11:30 AM (UTC)Nordlandshallen, Bodø
Full time
What was the result of Junkeren vs Skeid?
Skeid won 0-2 on May 12, 2024.
Goalscorers
- 3′U. NessSkeid
- 78′K. GhaedaminiSkeid
What is the recent form of both teams?
Over their last 15 matches in all competitions, Junkeren have 3 wins, 1 draws and 11 defeats; Skeid have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2024 | Strindheim(away) | 0-4 | 2. Division - Group 2 |
| Apr 28, 2024 | Stjørdals-Blink(home) | 0-3 | 2. Division - Group 2 |
| Apr 24, 2024 | Bodo/Glimt(home) | 0-2 | NM Cupen |
| Apr 21, 2024 | Eidsvold(away) | 2-4 | 2. Division - Group 2 |
| Apr 13, 2024 | Grorud(home) | 2-5 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2024 | Ull/Kisa(home) | 0-2 | 2. Division - Group 2 |
| Apr 27, 2024 | Follo(away) | 1-0 | 2. Division - Group 2 |
| Apr 23, 2024 | Raufoss(home) | 1-2 | NM Cupen |
| Apr 19, 2024 | Kjelsås(home) | 1-0 | 2. Division - Group 2 |
| Apr 13, 2024 | Strindheim(away) | 3-0 | 2. Division - Group 2 |
How many goals should we expect?
Junkeren score 1.0 and concede 2.5 goals per match over their last 15; Skeid score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Junkeren | 1.0 | 2.5 | 2 | 7/15 | 11/15 |
| Skeid | 1.7 | 1.1 | 8 | 4/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Junkeren sit 10th in 2. Division - Group 2 (20 points from 16 matches) and Skeid sit 11th (13 points from 16 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Junkeren | 16 | 6 | 2 | 8 | 22 | 28 | 20 |
| 11 | Skeid | 16 | 4 | 1 | 11 | 22 | 34 | 13 |
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