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OBOS-ligaen
Referee: Anders Bodding
hodd
S U U T T
3–1
Full-time
Mjondalen
T S U U 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

hodd Mjondalen
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
0,8
0,8
Over 2.5 Ø 75%
67%
83%
Both score Ø 83%
83%
83%
Average goals
3,8
4,7
Scored
1,3
1,7
Conceded
2,5
3,0
Goal diff per game
-1,2
-1,3
This season — OBOS-ligaen · 12/12 matches
Win Ø 21%
33%
8%
Points per game
1,3
0,6
Over 2.5 Ø 59%
50%
67%
Both score Ø 67%
67%
67%
Average goals
2,9
3,6
Scored
1,2
1,1
Conceded
1,8
2,5
Goal diff per game
-0,6
-1,4
🔒 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 hodd 11. · Mjondalen 15.
# Team K V U T +/− P
1 Lillestrom 12 8 4 0 +21 28
2 Start 12 7 3 2 +11 24
3 Sogndal 12 6 1 5 +4 19
4 Kongsvinger 11 5 3 3 +9 18
5 Odd 12 5 3 4 +2 18
6 Aalesund 10 4 5 1 +5 17
7 Raufoss 12 4 5 3 +4 17
8 Egersund 10 5 2 3 +3 17
9 Asane 12 4 4 4 -2 16
10 Moss 12 5 1 6 -7 16
11 hodd 12 4 3 5 -7 15
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 12 1 4 7 -17 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.