SF Grei vs Sarpsborg 08 II: result 1-2 and analysis
3. Division - Girone 6Group 6 - 8Kick-off on June 2, 2025 at 04:00 PM (UTC)Greibanen, Oslo
Full time
What was the result of SF Grei vs Sarpsborg 08 II?
Sarpsborg 08 II won 1-2 on June 2, 2025.
Goalscorers
- 13′A. KaszubaSarpsborg 08 II
- 28′A. KaszubaSarpsborg 08 II
- 43′577216SF Grei
What is the recent form of both teams?
Over their last 15 matches in all competitions, SF Grei have 5 wins, 3 draws and 7 defeats; Sarpsborg 08 II have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2025 | Kvik Halden(away) | 0-1 | 3. Division - Girone 6 |
| May 10, 2025 | Oppsal(home) | 5-2 | 3. Division - Girone 6 |
| May 4, 2025 | Pors Grenland II(away) | 5-2 | 3. Division - Girone 6 |
| Apr 26, 2025 | Lokomotiv Oslo(home) | 1-1 | 3. Division - Girone 6 |
| Apr 22, 2025 | Odd II(away) | 1-4 | 3. Division - Girone 6 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2025 | IF Ready(home) | 1-2 | 3. Division - Girone 6 |
| May 12, 2025 | Fredrikstad II(away) | 6-2 | 3. Division - Girone 6 |
| May 5, 2025 | Kvik Halden(away) | 2-3 | 3. Division - Girone 6 |
| Apr 28, 2025 | Oppsal(home) | 1-1 | 3. Division - Girone 6 |
| Apr 21, 2025 | Flint(away) | 3-1 | 3. Division - Girone 6 |
How many goals should we expect?
SF Grei score 1.7 and concede 2.6 goals per match over their last 15; Sarpsborg 08 II score 2.9 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SF Grei | 1.7 | 2.6 | 0 | 12/15 | 11/15 |
| Sarpsborg 08 II | 2.9 | 2.0 | 0 | 15/15 | 14/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Sarpsborg 08 II | 26 | 9 | 5 | 12 | 60 | 62 | 32 |
A question about SF Grei vs Sarpsborg 08 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