Nardo vs Stabæk II: result 4-0 and analysis
3. Division - Girone 4Group 4 - 1Kick-off on April 7, 2024 at 01:00 PM (UTC)Phonereparatøren Arena, Trondheim
Full time
What was the result of Nardo vs Stabæk II?
Nardo won 4-0 on April 7, 2024.
Goalscorers
- 38′?Nardo
- 51′?Nardo
- 60′?Nardo
- 89′?Nardo
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nardo have 9 wins, 1 draw and 5 defeats; Stabæk II have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 27, 2024 | Strindheim(away) | 0-3 | Friendlies Clubs |
| Mar 17, 2024 | Rosenborg(away) | 0-2 | Friendlies Clubs |
| Mar 10, 2024 | Ranheim(away) | 0-7 | Friendlies Clubs |
| Feb 9, 2024 | Stjørdals-Blink(away) | 0-1 | Friendlies Clubs |
| Oct 29, 2023 | Kolstad(home) | 8-0 | 3. Division - Girone 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2023 | Ullern II(home) | 5-0 | 3. Division - Girone 1 |
| Oct 22, 2023 | Lysekloster(away) | 1-2 | 3. Division - Girone 1 |
| Oct 14, 2023 | Gjelleråsen(home) | 2-2 | 3. Division - Girone 1 |
| Oct 9, 2023 | Sandviken(away) | 3-6 | 3. Division - Girone 1 |
| Oct 1, 2023 | Fana(home) | 1-4 | 3. Division - Girone 1 |
How many goals should we expect?
Nardo score 2.3 and concede 1.5 goals per match over their last 15; Stabæk II score 2.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nardo | 2.3 | 1.5 | 4 | 6/15 | 12/15 |
| Stabæk II | 2.5 | 1.9 | 3 | 11/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Stabæk II | 23 | 10 | 3 | 10 | 48 | 49 | 33 |
A question about Nardo vs Stabæk II?
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