Surnadal vs Stabæk II: result 2-1 and analysis
3. Division - Girone 4Group 4 - 4Kick-off on April 28, 2024 at 01:00 PM (UTC)Syltøran stadion, Surnadal
Full time
What was the result of Surnadal vs Stabæk II?
Surnadal won 2-1 on April 28, 2024.
Goalscorers
- 15′?Surnadal
- 30′?Stabæk II
- 90′?Surnadal
What is the recent form of both teams?
Over their last 6 matches in all competitions, Surnadal have 0 wins, 0 draws and 6 defeats; Stabæk II have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2024 | Strømsgodset II(away) | 1-2 | 3. Division - Girone 4 |
| Apr 13, 2024 | Melhus(home) | 2-3 | 3. Division - Girone 4 |
| Apr 10, 2024 | Træff(away) | 1-5 | NM Cupen |
| Apr 6, 2024 | Trygg/Lade(away) | 0-4 | 3. Division - Girone 4 |
| May 24, 2023 | Molde(home) | 0-4 | NM Cupen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2024 | Melhus(away) | 3-1 | 3. Division - Girone 4 |
| Apr 15, 2024 | Rosenborg II(home) | 4-1 | 3. Division - Girone 4 |
| Apr 7, 2024 | Nardo(away) | 0-4 | 3. Division - Girone 4 |
| Oct 29, 2023 | Ullern II(home) | 5-0 | 3. Division - Girone 1 |
| Oct 22, 2023 | Lysekloster(away) | 1-2 | 3. Division - Girone 1 |
How many goals should we expect?
Surnadal score 0.8 and concede 3.7 goals per match over their last 6; Stabæk II score 2.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Surnadal | 0.8 | 3.7 | 0 | 4/6 | 6/6 |
| Stabæk II | 2.7 | 1.9 | 3 | 11/15 | 13/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Stabæk II | 24 | 10 | 3 | 11 | 51 | 54 | 33 |
A question about Surnadal 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