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OBOS-ligaen
Referee: J Haugen
Asane
S T T S U
2–0
Full-time
Sandnes ULF
S T T 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

Asane Sandnes ULF
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,3
1,2
Over 2.5 Ø 67%
67%
67%
Both score Ø 50%
50%
50%
Average goals
2,8
3,3
Scored
1,2
1,2
Conceded
1,7
2,2
Goal diff per game
-0,5
-1,0
This season — OBOS-ligaen · 29/29 matches
Win Ø 31%
28%
34%
Points per game
1,2
1,3
Over 2.5 Ø 61%
66%
55%
Both score Ø 61%
69%
52%
Average goals
2,9
2,9
Scored
1,3
1,4
Conceded
1,5
1,5
Goal diff per game
-0,2
+0,0
🔒 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 Asane 13. · Sandnes ULF 10.
# Team K V U T +/− P
1 Fredrikstad 29 17 10 2 +26 61
2 KFUM Oslo 29 17 6 6 +20 57
3 Kongsvinger 28 16 3 9 +15 51
4 Kristiansund 27 12 7 8 +11 43
5 Start 28 11 9 8 +11 42
6 Sogndal 29 12 6 11 +0 42
7 Bryne 27 12 5 10 +7 41
8 Ranheim 29 12 3 14 -17 39
9 Raufoss 29 10 8 11 +0 38
10 Sandnes ULF 29 10 7 12 -1 37
11 Mjondalen 29 10 6 13 -3 36
12 Moss 29 9 8 12 -4 35
13 Asane 29 8 10 11 -5 34
14 hodd 29 8 8 13 -9 32
15 Jerv 29 8 7 14 -18 31
16 Skeid 29 3 5 21 -33 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.