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OBOS-ligaen
Referee: Herman Holthe
Stabaek
U U T T U
1–2
Full-time
Ranheim
U 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

Stabaek Ranheim
Last 6 — all competitions · 6/6 matches
Win Ø 17%
0%
33%
Points per game
0,5
1,2
Over 2.5 Ø 75%
83%
67%
Both score Ø 75%
83%
67%
Average goals
3,8
3,0
Scored
1,3
1,3
Conceded
2,5
1,7
Goal diff per game
-1,2
-0,3
This season — OBOS-ligaen · 12/11 matches
Win Ø 31%
25%
36%
Points per game
1,1
1,2
Over 2.5 Ø 61%
58%
64%
Both score Ø 57%
58%
55%
Average goals
3,2
2,7
Scored
1,3
1,1
Conceded
1,8
1,6
Goal diff per game
-0,5
-0,5
🔒 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 Stabaek 12. · Ranheim 13.
# Team K V U T +/− P
1 Lillestrom 12 8 4 0 +21 28
2 Start 12 7 3 2 +11 24
3 Kongsvinger 12 5 4 3 +9 19
4 Sogndal 12 6 1 5 +4 19
5 Raufoss 13 4 6 3 +4 18
6 Odd 12 5 3 4 +2 18
7 hodd 13 5 3 5 -5 18
8 Aalesund 10 4 5 1 +5 17
9 Egersund 10 5 2 3 +3 17
10 Asane 12 4 4 4 -2 16
11 Moss 12 5 1 6 -7 16
12 Stabaek 12 3 4 5 -6 13
13 Ranheim 11 4 1 6 -6 13
14 Lyn 12 3 2 7 -4 11
15 Mjondalen 13 1 4 8 -19 7
16 Skeid 12 1 3 8 -10 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.