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OBOS-ligaen
Referee: M Koløy
Raufoss
T S U S T
1–0
Full-time
Skeid
S U T S 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

Raufoss Skeid
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
1,7
1,2
Over 2.5 Ø 50%
50%
50%
Both score Ø 34%
50%
17%
Average goals
2,7
2,8
Scored
1,8
1,0
Conceded
0,8
1,8
Goal diff per game
+1,0
-0,8
This season — OBOS-ligaen · 12/12 matches
Win Ø 17%
17%
17%
Points per game
0,8
0,8
Over 2.5 Ø 55%
42%
67%
Both score Ø 42%
33%
50%
Average goals
1,8
3,5
Scored
0,8
1,3
Conceded
1,0
2,3
Goal diff per game
-0,2
-1,0
🔒 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 Raufoss 14. · Skeid 15.
# Team K V U T +/− P
1 Fredrikstad 13 6 7 0 +7 25
2 Kongsvinger 12 8 0 4 +7 24
3 Sogndal 13 6 3 4 +1 21
4 Start 13 5 5 3 +6 20
5 Ranheim 13 6 2 5 -3 20
6 KFUM Oslo 12 5 4 3 +5 19
7 Kristiansund 11 5 3 3 +2 18
8 Jerv 13 5 3 5 +0 18
9 Mjondalen 13 5 3 5 +0 18
10 Moss 12 4 4 4 -3 16
11 hodd 13 3 5 5 +0 14
12 Sandnes ULF 12 3 4 5 +1 13
13 Bryne 12 3 4 5 -4 13
14 Raufoss 12 2 4 6 -2 10
15 Skeid 12 2 4 6 -12 10
16 Asane 12 1 5 6 -5 8

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.