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OBOS-ligaen
Referee: J Haugen
Stabaek
S S T S U
1–4
Full-time
Moss
S S T 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 Moss
Last 6 — all competitions · 6/6 matches
Win Ø 67%
50%
83%
Points per game
1,7
2,5
Over 2.5 Ø 67%
67%
67%
Both score Ø 67%
67%
67%
Average goals
4,7
3,2
Scored
2,5
1,8
Conceded
2,2
1,3
Goal diff per game
+0,3
+0,5
This season — OBOS-ligaen · 14/14 matches
Win Ø 50%
43%
57%
Points per game
1,6
1,9
Over 2.5 Ø 71%
71%
71%
Both score Ø 61%
64%
57%
Average goals
4,1
3,4
Scored
2,3
1,8
Conceded
1,8
1,6
Goal diff per game
+0,5
+0,1
🔒 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. · Moss 4.
# Team K V U T +/− P
1 Valerenga 15 9 3 3 +19 30
2 Bryne 15 9 0 6 +6 27
3 Egersund 15 7 5 3 +7 26
4 Moss 14 8 2 4 +2 26
5 Kongsvinger 13 7 3 3 +0 24
6 Stabaek 14 6 5 3 +7 23
7 Sogndal 15 6 5 4 +6 23
8 Lyn 14 5 5 4 +8 20
9 Ranheim 15 5 5 5 +3 20
10 Raufoss 15 5 4 6 -3 19
11 Levanger 14 4 6 4 +7 18
12 Mjondalen 14 3 5 6 -6 14
13 Asane 15 3 4 8 -9 13
14 Start 15 3 4 8 -11 13
15 Aalesund 14 2 3 9 -15 9
16 Sandnes ULF 13 2 3 8 -21 9

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.

Recent head-to-head meetings

11. May -24 Moss – Stabaek 3–3

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.