Sarpsborg 08 II vs IF Ready: result 1-2 and analysis
3. Division - Girone 6Group 6 - 7Kick-off on May 24, 2025 at 12:00 PM (UTC)Sarpsborg Stadion, Sarpsborg
Full time
What was the result of Sarpsborg 08 II vs IF Ready?
IF Ready won 1-2 on May 24, 2025.
Goalscorers
- 43′577247IF Ready
- 65′M. Svenningsen GronnSarpsborg 08 II (pen.)
- 75′577228IF Ready
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sarpsborg 08 II have 8 wins, 2 draws and 5 defeats; IF Ready have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 7, 2025 | Drøbak / Frogn(home) | 5-1 | 3. Division - Girone 6 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2025 | Lokomotiv Oslo(home) | 1-2 | 3. Division - Girone 6 |
| May 3, 2025 | Oppsal(away) | 2-4 | 3. Division - Girone 6 |
| Apr 27, 2025 | Ørn Horten(home) | 1-3 | 3. Division - Girone 6 |
| Apr 24, 2025 | KFUM Oslo(home) | 0-3 | NM Cupen |
| Apr 21, 2025 | Fram(away) | 1-1 | 3. Division - Girone 6 |
How many goals should we expect?
Sarpsborg 08 II score 2.8 and concede 2.1 goals per match over their last 15; IF Ready score 1.6 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sarpsborg 08 II | 2.8 | 2.1 | 0 | 14/15 | 14/15 |
| IF Ready | 1.6 | 1.9 | 3 | 9/15 | 10/15 |
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 | 24 | 9 | 5 | 10 | 58 | 54 | 32 |
A question about Sarpsborg 08 II vs IF Ready?
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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