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OBOS-ligaen
Referee: S Hauge
KFUM Oslo
S T U S S
2–1
Full-time
Fredrikstad
U U S T 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

KFUM Oslo Fredrikstad
Last 6 — all competitions · 6/6 matches
Win Ø 50%
50%
50%
Points per game
1,8
1,8
Over 2.5 Ø 67%
50%
83%
Both score Ø 92%
83%
100%
Average goals
3,2
4,0
Scored
1,8
2,5
Conceded
1,3
1,5
Goal diff per game
+0,5
+1,0
This season — OBOS-ligaen · 15/16 matches
Win Ø 45%
40%
50%
Points per game
1,5
1,8
Over 2.5 Ø 61%
47%
75%
Both score Ø 74%
67%
81%
Average goals
2,9
3,5
Scored
1,6
2,1
Conceded
1,3
1,4
Goal diff per game
+0,3
+0,8
🔒 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 KFUM Oslo 6. · Fredrikstad 4.
# Team K V U T +/− P
1 Ham-Kam 17 12 2 3 +24 38
2 Jerv 16 10 3 3 +3 33
3 Aalesund 17 9 5 3 +8 32
4 Fredrikstad 16 8 5 3 +12 29
5 Sogndal 17 7 4 6 +6 25
6 KFUM Oslo 15 6 5 4 +4 23
7 Ranheim 17 6 5 6 +0 23
8 Asane 17 7 2 8 -6 23
9 Ull/Kisa 17 6 4 7 -4 22
10 Raufoss 17 6 3 8 -1 21
11 Start 17 5 4 8 -2 19
12 Stjørdals-Blink 17 6 1 10 -15 19
13 Bryne 17 5 3 9 -4 18
14 Sandnes ULF 17 4 5 8 -8 17
15 Grorud 17 4 3 10 -10 15
16 Strommen 17 2 8 7 -7 14

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.