Åkra vs Våg: result 2-1 and analysis
3. Division - Girone 4Regular Season - 2Kick-off on April 11, 2026 at 11:00 AM (UTC)Åkra kunstgress, Åkrehamn
Full time
What was the result of Åkra vs Våg?
Åkra won 2-1 on April 11, 2026.
Goalscorers
- 22′?Våg
- 50′R. MoeÅkra
- 58′R. MoeÅkra
What is the recent form of both teams?
Over their last 15 matches in all competitions, Åkra have 2 wins, 3 draws and 10 defeats; Våg have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2026 | Varhaug(away) | 0-2 | 3. Division - Girone 4 |
| Jan 30, 2026 | Bjarg(home) | 0-2 | Friendlies Clubs |
| Feb 12, 2025 | Vard(home) | 1-5 | Friendlies Clubs |
| Feb 23, 2023 | Vard(home) | 0-1 | Friendlies Clubs |
| Oct 23, 2022 | Brodd(home) | 3-2 | 3. Division - Girone 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2026 | Vindbjart(home) | 1-0 | 3. Division - Girone 4 |
| Jan 23, 2026 | jerv(away) | 0-1 | Friendlies Clubs |
| Oct 26, 2025 | Vindbjart(home) | 1-1 | 3. Division - Girone 5 |
| Oct 19, 2025 | Sandnes Ulf II(away) | 5-2 | 3. Division - Girone 5 |
| Oct 11, 2025 | Torvastad(home) | 3-2 | 3. Division - Girone 5 |
How many goals should we expect?
Åkra score 1.1 and concede 3.2 goals per match over their last 15; Våg score 2.4 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Åkra | 1.1 | 3.2 | 0 | 9/15 | 11/15 |
| Våg | 2.4 | 1.6 | 3 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Åkra sit 14th in 3. Division - Girone 4 (15 points from 23 matches) and Våg sit 9th (32 points from 23 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Våg | 23 | 10 | 2 | 11 | 39 | 38 | 32 |
| 14 | Åkra | 23 | 4 | 3 | 16 | 27 | 68 | 15 |
A question about Åkra vs Våg?
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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