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OBOS-ligaen
Referee: S Hauge
Raufoss
T U S S S
2–1
Full-time
Mjondalen
T T T T T

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Raufoss Mjondalen
Last 6 — all competitions · 6/6 matches
Win Ø 34%
50%
17%
Points per game
1,8
0,5
Over 2.5 Ø 50%
50%
50%
Both score Ø 42%
50%
33%
Average goals
2,8
3,3
Scored
1,5
0,8
Conceded
1,3
2,5
Goal diff per game
+0,2
-1,7
This season — OBOS-ligaen · 11/12 matches
Win Ø 47%
36%
58%
Points per game
1,5
1,8
Over 2.5 Ø 47%
36%
58%
Both score Ø 57%
55%
58%
Average goals
2,7
3,0
Scored
1,3
1,4
Conceded
1,5
1,6
Goal diff per game
-0,2
-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 Raufoss 8. · Mjondalen 4.
# Team K V U T +/− P
1 Brann 12 10 2 0 +28 32
2 Ranheim 12 7 3 2 +4 24
3 Stabaek 12 6 5 1 +12 23
4 Mjondalen 12 7 1 4 -2 22
5 Sogndal 12 6 2 4 +1 20
6 Start 11 5 4 2 +12 19
7 KFUM Oslo 11 5 3 3 +0 18
8 Raufoss 11 4 4 3 -2 16
9 Sandnes ULF 11 5 1 5 -8 16
10 Fredrikstad 11 3 4 4 +0 13
11 Asane 12 3 4 5 -8 13
12 Kongsvinger 9 2 3 4 -1 9
13 Bryne 12 2 3 7 -5 9
14 Grorud 12 0 6 6 -9 6
15 Skeid 12 2 0 10 -10 6
16 Stjørdals-Blink 12 1 3 8 -12 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.