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OBOS-ligaen
Referee: E Bodding
Raufoss
S S T U S
1–1
Full-time
Sandnes ULF
T S S S S

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

🔒 Who wins? Pro

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

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Team trends

Raufoss Sandnes ULF
Last 6 — all competitions · 6/6 matches
Win Ø 67%
67%
67%
Points per game
2,2
2,0
Over 2.5 Ø 92%
100%
83%
Both score Ø 67%
67%
67%
Average goals
4,0
4,2
Scored
2,3
2,5
Conceded
1,7
1,7
Goal diff per game
+0,7
+0,8
This season — OBOS-ligaen · 16/15 matches
Win Ø 52%
44%
60%
Points per game
1,6
1,9
Over 2.5 Ø 68%
56%
80%
Both score Ø 58%
56%
60%
Average goals
3,1
3,3
Scored
1,5
1,7
Conceded
1,6
1,6
Goal diff per game
-0,1
+0,1
🔒 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 Raufoss 7. · Sandnes ULF 5.
# Team K V U T +/− P
1 Brann 16 13 3 0 +38 42
2 Ranheim 16 9 4 3 +8 31
3 Stabaek 16 7 7 2 +13 28
4 Sogndal 16 8 4 4 +6 28
5 Sandnes ULF 15 9 1 5 +2 28
6 Mjondalen 16 8 3 5 -2 27
7 Raufoss 16 7 5 4 -1 26
8 Start 15 6 5 4 +10 23
9 KFUM Oslo 15 6 4 5 +1 22
10 Fredrikstad 16 5 6 5 +0 21
11 Asane 16 4 5 7 -16 17
12 Bryne 16 4 4 8 -4 16
13 Kongsvinger 13 3 5 5 +1 14
14 Skeid 16 2 1 13 -16 7
15 Grorud 16 0 6 10 -18 6
16 Stjørdals-Blink 16 1 3 12 -22 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.