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OBOS-ligaen
Referee: E Bodding
Asane
S S T S U
1–1
Full-time
KFUM Oslo
T S S S U

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

Asane KFUM Oslo
Last 6 — all competitions · 6/6 matches
Win Ø 59%
67%
50%
Points per game
2,2
1,7
Over 2.5 Ø 75%
83%
67%
Both score Ø 92%
100%
83%
Average goals
5,0
3,0
Scored
3,2
1,5
Conceded
1,8
1,5
Goal diff per game
+1,3
+0,0
This season — OBOS-ligaen · 19/21 matches
Win Ø 40%
47%
33%
Points per game
1,7
1,3
Over 2.5 Ø 68%
74%
62%
Both score Ø 72%
68%
76%
Average goals
3,7
2,8
Scored
2,2
1,3
Conceded
1,5
1,5
Goal diff per game
+0,6
-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 Asane 5. · KFUM Oslo 8.
# Team K V U T +/− P
1 Tromso 21 14 4 3 +26 46
2 Lillestrom 20 11 6 3 +17 39
3 Sogndal 20 11 4 5 +17 37
4 Ranheim 19 11 2 6 +21 35
5 Asane 19 9 5 5 +12 32
6 Sandnes ULF 21 8 5 8 -9 29
7 Jerv 20 7 7 6 -7 28
8 KFUM Oslo 21 7 6 8 -4 27
9 Stjørdals-Blink 21 7 5 9 -2 26
10 Raufoss 20 6 7 7 +0 25
11 Strommen 21 7 4 10 -6 25
12 Grorud 21 6 6 9 -5 24
13 Ham-Kam 21 6 5 10 -7 23
14 Ull/Kisa 21 6 5 10 -13 23
15 Øygarden 21 4 5 12 -22 17
16 Kongsvinger 21 3 6 12 -18 15

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.