Rosenborg II vs Vard: result 0-4 and analysis
2. Division - Group 2Group 2 - 2Kick-off on July 20, 2020 at 11:00 AM (UTC)Skoglunden, Trondheim
Full time
What was the result of Rosenborg II vs Vard?
Vard won 0-4 on July 20, 2020.
Goalscorers
- 16′E. MyklebustVard
- 41′E. MyklebustVard
- 62′E. MyklebustVard
- 89′266125Vard
Official lineup for Rosenborg II vs Vard
The starting elevens fielded at kick-off.
Rosenborg II
- 10F. Nyenetue
- 16F. Brattbakk
- 7Iver Nordmeland Westerlund
- 11T. Haltvik
- 17M. Johnsen
- 19K. Haugen
- 20B. Frøysa
- 6M. Ceïde
- 15S. Skogen
- 22W. Kamanzi
- 1S. Tangvik
Vard
- 10E. Myklebust
- 11S. Barane
- 6Carl Jesper Andreasson
- 7Roy André Miljeteig
- 19Viktor Adebahr
- 21R. Kling
- 5M. Karlsen
- 17S. Balm
- 2M. Nordtveit
- 23C. Niyukuri
- 13T. Kinn
What is the recent form of both teams?
Over their last 2 matches in all competitions, Rosenborg II have 1 win, 1 draw and 0 defeats; Vard have 4, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 12, 2020 | Levanger(away) | 1-1 | 2. Division - Group 2 |
| Feb 28, 2020 | Byåsen(home) | 6-2 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 12, 2020 | Egersund(home) | 4-1 | 2. Division - Group 2 |
| Jul 4, 2020 | Bryne(away) | 0-1 | Friendlies Clubs |
| Mar 7, 2020 | Sotra(home) | 4-0 | Friendlies Clubs |
| Feb 26, 2020 | Viking II(home) | 4-3 | Friendlies Clubs |
| Feb 22, 2020 | Egersund(away) | 4-1 | Friendlies Clubs |
How many goals should we expect?
Rosenborg II score 3.5 and concede 1.5 goals per match over their last 2; Vard score 2.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rosenborg II | 3.5 | 1.5 | 0 | 2/2 | 1/2 |
| Vard | 2.3 | 0.9 | 3 | 3/7 | 4/7 |
Over the last 2 matches in all competitions.
A question about Rosenborg II vs Vard?
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