Staal Jørpeland vs Vard: result 6-2 and analysis
2. Division - Group 1Group 1 - 7Kick-off on May 22, 2022 at 01:00 PM (UTC)Jørpeland stadion, Jørpeland
Full time
What was the result of Staal Jørpeland vs Vard?
Staal Jørpeland won 6-2 on May 22, 2022.
Goalscorers
- 12′J. BogdanovićStaal Jørpeland
- 15′G. DanielsenStaal Jørpeland
- 19′Roy André MiljeteigVard (pen.)
- 24′D. CiachStaal Jørpeland
- 31′266125Vard
- 35′E. ØstensenStaal Jørpeland (pen.)
- 64′Ø. BjørloStaal Jørpeland
- 79′G. DanielsenStaal Jørpeland
What is the recent form of both teams?
Over their last 15 matches in all competitions, Staal Jørpeland have 6 wins, 3 draws and 6 defeats; Vard have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2022 | Vidar(away) | 0-4 | NM Cupen |
| May 14, 2022 | Sotra(away) | 1-4 | 2. Division - Group 1 |
| May 8, 2022 | Odd II(away) | 2-3 | 2. Division - Group 1 |
| Apr 30, 2022 | Egersund(home) | 1-4 | 2. Division - Group 1 |
| Apr 24, 2022 | Arendal(away) | 2-2 | 2. Division - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2022 | Træff(away) | 4-4 | NM Cupen |
| May 14, 2022 | Egersund(home) | 1-2 | 2. Division - Group 1 |
| May 7, 2022 | Flekkerøy(away) | 2-3 | 2. Division - Group 1 |
| Apr 30, 2022 | Ørn Horten(home) | 2-0 | 2. Division - Group 1 |
| Apr 23, 2022 | Øygarden(away) | 0-2 | 2. Division - Group 1 |
How many goals should we expect?
Staal Jørpeland score 1.8 and concede 1.9 goals per match over their last 15; Vard score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Staal Jørpeland | 1.8 | 1.9 | 3 | 11/15 | 13/15 |
| Vard | 1.5 | 1.7 | 4 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Vard | 26 | 5 | 11 | 10 | 37 | 46 | 26 |
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