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OBOS-ligaen
Referee: D Higraff
Sandnes ULF
T U T S T
1–1
Full-time
Asane
S S S T 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

Sandnes ULF Asane
Last 6 — all competitions · 6/6 matches
Win Ø 42%
17%
67%
Points per game
0,7
2,0
Over 2.5 Ø 75%
50%
100%
Both score Ø 67%
33%
100%
Average goals
3,2
5,3
Scored
1,2
3,2
Conceded
2,0
2,2
Goal diff per game
-0,8
+1,0
This season — OBOS-ligaen · 20/18 matches
Win Ø 45%
40%
50%
Points per game
1,4
1,7
Over 2.5 Ø 72%
65%
78%
Both score Ø 64%
60%
67%
Average goals
3,4
3,8
Scored
1,5
2,2
Conceded
1,9
1,6
Goal diff per game
-0,5
+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 6. · Asane 5.
# Team K V U T +/− P
1 Tromso 20 14 3 3 +26 45
2 Lillestrom 19 11 5 3 +17 38
3 Sogndal 19 11 4 4 +18 37
4 Ranheim 18 11 1 6 +21 34
5 Asane 18 9 4 5 +12 31
6 Sandnes ULF 20 8 4 8 -9 28
7 Jerv 19 7 6 6 -7 27
8 Stjørdals-Blink 20 7 5 8 -1 26
9 KFUM Oslo 20 7 5 8 -4 26
10 Grorud 20 6 6 8 -4 24
11 Raufoss 19 5 7 7 -1 22
12 Strommen 20 6 4 10 -9 22
13 Ham-Kam 20 5 5 10 -8 20
14 Ull/Kisa 20 5 5 10 -14 20
15 Øygarden 20 4 5 11 -19 17
16 Kongsvinger 20 3 5 12 -18 14

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.