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OBOS-ligaen
Sandnes ULF
S S T S T
5–0
Full-time
hodd
U T T U T

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 hodd
Last 6 — all competitions · 6/6 matches
Win Ø 34%
67%
0%
Points per game
2,0
0,5
Over 2.5 Ø 50%
50%
50%
Both score Ø 25%
17%
33%
Average goals
2,5
2,3
Scored
2,0
0,5
Conceded
0,5
1,8
Goal diff per game
+1,5
-1,3
This season — OBOS-ligaen · 28/29 matches
Win Ø 39%
50%
28%
Points per game
1,7
1,0
Over 2.5 Ø 48%
43%
52%
Both score Ø 44%
39%
48%
Average goals
2,7
2,9
Scored
1,8
1,1
Conceded
1,0
1,8
Goal diff per game
+0,8
-0,7
🔒 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 5. · hodd 12.
# Team K V U T +/− P
1 Sandefjord 29 18 5 6 +20 59
2 Kristiansund 29 18 5 6 +16 59
3 Jerv 27 14 7 6 +13 49
4 Kongsvinger 27 14 6 7 +16 48
5 Sandnes ULF 28 14 5 9 +22 47
6 Mjondalen 28 13 8 7 +11 47
7 Levanger 29 13 5 11 +6 44
8 Strommen 29 12 8 9 +0 44
9 Ranheim 29 11 5 13 -3 38
10 Asane 29 10 7 12 -1 37
11 Fredrikstad 29 8 9 12 -12 33
12 hodd 29 8 6 15 -21 30
13 Ull/Kisa 29 7 8 14 -4 29
14 Bryne 29 6 9 14 -17 27
15 KFUM Oslo 29 6 8 15 -14 26
16 Raufoss 29 5 3 21 -32 18

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.

Recent head-to-head meetings

1. May -16 hodd – Sandnes ULF 2–0

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