Gneist vs Askøy: result 3-2 and analysis
3. Division - Girone 4Group 4 - 4Kick-off on April 26, 2025 at 12:00 PM (UTC)Liland kunstgress, Bergen
Full time
What was the result of Gneist vs Askøy?
Gneist won 3-2 on April 26, 2025.
Goalscorers
- 5′573656Gneist
- 35′573656Gneist
- 47′603055Askøy
- 50′603056Askøy
- 52′573657Gneist
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gneist have 5 wins, 3 draws and 7 defeats; Askøy 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 16, 2025 | Sandefjord II(away) | 3-3 | 3. Division - Girone 4 |
| Apr 12, 2025 | Lysekloster(home) | 0-2 | NM Cupen |
| Apr 5, 2025 | Fana(home) | 1-1 | 3. Division - Girone 4 |
| Mar 29, 2025 | Os(away) | 3-2 | 3. Division - Girone 4 |
| Jan 23, 2025 | Fana(away) | 2-3 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2025 | Os(home) | 3-1 | 3. Division - Girone 4 |
| Apr 12, 2025 | Asane(home) | 1-5 | NM Cupen |
| Apr 5, 2025 | Lyngbø(away) | 1-0 | 3. Division - Girone 4 |
| Mar 29, 2025 | Bjarg(home) | 0-5 | 3. Division - Girone 4 |
| Oct 27, 2024 | Floro(away) | 7-1 | 3. Division - Girone 1 |
How many goals should we expect?
Gneist score 1.4 and concede 2.5 goals per match over their last 15; Askøy score 1.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gneist | 1.4 | 2.5 | 1 | 9/15 | 11/15 |
| Askøy | 1.9 | 2.1 | 4 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Gneist sit 7th in 3. Division - Girone 4 (34 points from 26 matches) and Askøy sit 8th (33 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Gneist | 26 | 9 | 8 | 10 | 56 | 55 | 34 |
| 8 | Askøy | 26 | 9 | 6 | 11 | 44 | 52 | 33 |
A question about Gneist vs Askøy?
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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