Rosenborg II vs Nardo: result 2-5 and analysis
Friendlies ClubsClub Friendlies 3Kick-off on May 29, 2021 at 12:00 AM (UTC)Skoglunden, Trondheim
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What was the result of Rosenborg II vs Nardo?
Nardo won 2-5 on May 29, 2021.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Rosenborg II have 4 wins, 2 draws and 8 defeats; Nardo have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2020 | Bryne(away) | 0-1 | 2. Division - Group 2 |
| Sep 28, 2020 | Arendal(home) | 0-0 | 2. Division - Group 2 |
| Sep 21, 2020 | Egersund(away) | 0-4 | 2. Division - Group 2 |
| Sep 14, 2020 | Nardo(home) | 0-1 | 2. Division - Group 2 |
| Sep 6, 2020 | Odd II(home) | 2-0 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2020 | Flekkerøy(home) | 1-1 | 2. Division - Group 2 |
| Sep 26, 2020 | Notodden(away) | 1-2 | 2. Division - Group 2 |
| Sep 20, 2020 | Asker(home) | 1-1 | 2. Division - Group 2 |
| Sep 14, 2020 | Rosenborg II(away) | 1-0 | 2. Division - Group 2 |
| Sep 5, 2020 | Vard(away) | 0-5 | 2. Division - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Rosenborg II wins, 0 draws, 1 Nardo win.
| Date | Score | Competition |
|---|---|---|
| Sep 14, 2020 | Rosenborg II 0-1 Nardo | 2. Division - Group 2 |
Last archived meeting: Rosenborg II vs Nardo on Sep 14, 2020
How many goals should we expect?
Rosenborg II score 1.3 and concede 1.9 goals per match over their last 14; Nardo score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rosenborg II | 1.3 | 1.9 | 4 | 5/14 | 7/14 |
| Nardo | 0.9 | 1.5 | 3 | 8/15 | 6/15 |
Over the last 14 matches in all competitions.
A question about Rosenborg II vs Nardo?
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
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