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OBOS-ligaen
Referee: A Medic
Stabaek
S T S T T
1–4
Full-time
Aalesund
T S S S 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

Stabaek Aalesund
Last 6 — all competitions · 6/6 matches
Win Ø 59%
50%
67%
Points per game
1,5
2,0
Over 2.5 Ø 67%
83%
50%
Both score Ø 59%
67%
50%
Average goals
3,3
3,2
Scored
1,7
1,7
Conceded
1,7
1,5
Goal diff per game
+0,0
+0,2
This season — OBOS-ligaen · 29/29 matches
Win Ø 40%
41%
38%
Points per game
1,4
1,3
Over 2.5 Ø 64%
79%
48%
Both score Ø 57%
66%
48%
Average goals
3,8
3,1
Scored
1,9
1,4
Conceded
1,9
1,7
Goal diff per game
+0,0
-0,2
🔒 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 6. · Aalesund 10.
# Team K V U T +/− P
1 Valerenga 29 20 6 3 +48 66
2 Bryne 29 17 4 8 +18 55
3 Moss 28 14 5 9 +11 47
4 Lyn 28 12 9 7 +17 45
5 Egersund 28 13 5 10 +0 44
6 Stabaek 29 12 6 11 +1 42
7 Raufoss 29 11 8 10 +0 41
8 Ranheim 29 10 9 10 +5 39
9 Kongsvinger 26 9 10 7 -6 37
10 Aalesund 29 11 4 14 -7 37
11 Start 29 9 8 12 -9 35
12 Sogndal 29 9 7 13 -3 34
13 Asane 29 9 7 13 -7 34
14 Levanger 29 6 11 12 -3 29
15 Mjondalen 29 7 8 14 -13 29
16 Sandnes ULF 29 4 5 20 -52 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.