Surnadal vs Rana: result 0-2 and analysis
3. Division - Girone 4Group 4 - 19Kick-off on September 1, 2024 at 11:00 AM (UTC)Syltøran stadion, Surnadal
Full time
What was the result of Surnadal vs Rana?
Rana won 0-2 on September 1, 2024.
Goalscorers
- 17′?Rana
- 75′?Rana
What is the recent form of both teams?
Over their last 15 matches in all competitions, Surnadal have 6 wins, 2 draws and 7 defeats; Rana have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2024 | Mosjøen(away) | 4-3 | 3. Division - Girone 4 |
| Aug 17, 2024 | Trygg/Lade(home) | 2-5 | 3. Division - Girone 4 |
| Aug 10, 2024 | Byåsen(away) | 1-1 | 3. Division - Girone 4 |
| Aug 3, 2024 | Verdal(home) | 5-4 | 3. Division - Girone 4 |
| Jul 27, 2024 | Melhus(away) | 0-2 | 3. Division - Girone 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2024 | Lillestrøm II(home) | 4-0 | 3. Division - Girone 4 |
| Aug 17, 2024 | Nardo(away) | 3-2 | 3. Division - Girone 4 |
| Aug 10, 2024 | Orkla(home) | 5-0 | 3. Division - Girone 4 |
| Aug 3, 2024 | Mosjøen(away) | 5-0 | 3. Division - Girone 4 |
| Jul 28, 2024 | Stabæk II(home) | 3-1 | 3. Division - Girone 4 |
What does the head-to-head say?
In the last meeting: 1 Surnadal win, 0 draws, 0 Rana wins.
| Date | Score | Competition |
|---|---|---|
| Jun 22, 2024 | Rana 0-2 Surnadal | 3. Division - Girone 4 |
How many goals should we expect?
Surnadal score 1.7 and concede 2.6 goals per match over their last 15; Rana score 2.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Surnadal | 1.7 | 2.6 | 1 | 10/15 | 11/15 |
| Rana | 2.8 | 1.3 | 5 | 9/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Surnadal vs Rana?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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