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OBOS-ligaen
Referee: M Koløy
Sandnes ULF
S U S T T
1–4
Full-time
Raufoss
U T U S S

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Sandnes ULF Raufoss
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
1,7
1,3
Over 2.5 Ø 59%
67%
50%
Both score Ø 59%
67%
50%
Average goals
2,7
2,8
Scored
1,3
1,0
Conceded
1,3
1,8
Goal diff per game
+0,0
-0,8
This season — OBOS-ligaen · 10/10 matches
Win Ø 40%
50%
30%
Points per game
1,6
1,3
Over 2.5 Ø 50%
70%
30%
Both score Ø 50%
50%
50%
Average goals
2,7
2,5
Scored
1,1
1,0
Conceded
1,6
1,5
Goal diff per game
-0,5
-0,5
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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The table before the match Sandnes ULF 8. · Raufoss 9.
# Team K V U T +/− P
1 Brann 11 9 2 0 +27 29
2 Stabaek 12 6 5 1 +12 23
3 Ranheim 11 7 2 2 +4 23
4 Mjondalen 12 7 1 4 -2 22
5 Sogndal 12 6 2 4 +1 20
6 KFUM Oslo 11 5 3 3 +0 18
7 Start 10 4 4 2 +9 16
8 Sandnes ULF 10 5 1 4 -5 16
9 Raufoss 10 3 4 3 -5 13
10 Fredrikstad 10 3 3 4 +0 12
11 Asane 11 3 3 5 -8 12
12 Bryne 11 2 3 6 -4 9
13 Kongsvinger 8 2 2 4 -1 8
14 Grorud 12 0 6 6 -9 6
15 Stjørdals-Blink 11 1 3 7 -9 6
16 Skeid 12 2 0 10 -10 6

Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.