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OBOS-ligaen
Referee: M Berg
Moss
S U T S T
1–1
Full-time
Asane
S T S T T

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

Moss Asane
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,2
1,2
Over 2.5 Ø 67%
50%
83%
Both score Ø 50%
33%
67%
Average goals
2,8
3,7
Scored
1,5
1,7
Conceded
1,3
2,0
Goal diff per game
+0,2
-0,3
This season — OBOS-ligaen · 24/25 matches
Win Ø 39%
50%
28%
Points per game
1,6
1,1
Over 2.5 Ø 64%
63%
64%
Both score Ø 51%
46%
56%
Average goals
3,2
3,2
Scored
1,7
1,4
Conceded
1,5
1,8
Goal diff per game
+0,3
-0,4
🔒 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 Moss 5. · Asane 13.
# Team K V U T +/− P
1 Valerenga 26 18 5 3 +43 59
2 Bryne 26 15 4 7 +17 49
3 Egersund 25 12 5 8 +3 41
4 Raufoss 26 11 7 8 +2 40
5 Moss 24 12 3 9 +6 39
6 Stabaek 26 11 6 9 +3 39
7 Lyn 24 10 8 6 +16 38
8 Kongsvinger 23 9 9 5 -3 36
9 Start 26 9 6 11 -7 33
10 Ranheim 25 8 8 9 +1 32
11 Sogndal 26 8 6 12 -2 30
12 Aalesund 26 8 4 14 -11 28
13 Asane 25 7 6 12 -9 27
14 Levanger 26 5 11 10 -2 26
15 Mjondalen 26 6 7 13 -14 25
16 Sandnes ULF 26 4 5 17 -43 17

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.