Austevoll vs Sogndal II: result 0-4 and analysis
3. Division - Girone 3Regular Season - 4Kick-off on April 26, 2026 at 02:00 PM (UTC)
Full time
What was the result of Austevoll vs Sogndal II?
Sogndal II won 0-4 on April 26, 2026.
Goalscorers
- 16′K. KongelfSogndal II
- 33′S. StavoSogndal II
- 45′K. KongelfSogndal II
- 89′640190Sogndal II
What is the recent form of both teams?
Over their last 3 matches in all competitions, Austevoll have 0 wins, 2 draws and 1 defeat; Sogndal II have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2026 | Askøy(away) | 1-3 | 3. Division - Girone 3 |
| Apr 11, 2026 | Stord(away) | 4-4 | 3. Division - Girone 3 |
| Apr 7, 2026 | Åsane II(home) | 1-1 | 3. Division - Girone 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2026 | Åsane II(home) | 1-3 | 3. Division - Girone 3 |
| Apr 12, 2026 | Førde(away) | 4-1 | 3. Division - Girone 3 |
| Apr 6, 2026 | Os(home) | 5-1 | 3. Division - Girone 3 |
| Oct 29, 2023 | Hødd II(away) | 1-6 | 3. Division - Girone 2 |
| Oct 22, 2023 | Spjelkavik(home) | 2-2 | 3. Division - Girone 2 |
How many goals should we expect?
Austevoll score 2.0 and concede 2.7 goals per match over their last 3; Sogndal II score 2.3 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Austevoll | 2.0 | 2.7 | 0 | 3/3 | 2/3 |
| Sogndal II | 2.3 | 3.1 | 1 | 12/15 | 15/15 |
Over the last 3 matches in all competitions.
Where do both teams sit in the table?
Austevoll sit 7th in 3. Division - Girone 3 (37 points from 24 matches) and Sogndal II sit 9th (30 points from 24 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Austevoll | 24 | 10 | 7 | 7 | 46 | 52 | 37 |
| 9 | Sogndal II | 24 | 9 | 3 | 12 | 62 | 54 | 30 |
A question about Austevoll vs Sogndal II?
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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