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OBOS-ligaen
hodd
T T S T S
1–2
Full-time
KFUM Oslo
T S S T U

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 KFUM Oslo
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,0
1,2
Over 2.5 Ø 42%
33%
50%
Both score Ø 33%
33%
33%
Average goals
2,0
3,3
Scored
0,7
1,5
Conceded
1,3
1,8
Goal diff per game
-0,7
-0,3
This season — OBOS-ligaen · 11/11 matches
Win Ø 27%
27%
27%
Points per game
1,0
1,2
Over 2.5 Ø 36%
36%
36%
Both score Ø 41%
45%
36%
Average goals
2,3
2,6
Scored
0,9
1,2
Conceded
1,4
1,5
Goal diff per game
-0,5
-0,3
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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 13. · KFUM Oslo 10.
# Team K V U T +/− P
1 Kristiansund 12 8 3 1 +11 27
2 Sandefjord 12 8 2 2 +13 26
3 Levanger 11 6 3 2 +4 21
4 Asane 12 5 3 4 +6 18
5 Sandnes ULF 11 5 2 4 +7 17
6 Kongsvinger 11 5 2 4 +5 17
7 Ranheim 11 5 1 5 -2 16
8 Jerv 10 4 3 3 -4 15
9 Strommen 11 3 5 3 -4 14
10 KFUM Oslo 11 3 4 4 -3 13
11 Mjondalen 11 3 4 4 -6 13
12 Bryne 11 2 5 4 -3 11
13 hodd 11 3 2 6 -5 11
14 Raufoss 11 2 3 6 -4 9
15 Fredrikstad 11 2 2 7 -11 8
16 Ull/Kisa 11 1 4 6 -4 7

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.