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OBOS-ligaen
Referee: J Tennøy
Asane
U S U U T
3–0
Full-time
KFUM Oslo
S U S T T

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 25%
17%
33%
Points per game
1,0
1,2
Over 2.5 Ø 50%
67%
33%
Both score Ø 58%
83%
33%
Average goals
4,2
2,5
Scored
1,7
0,8
Conceded
2,5
1,7
Goal diff per game
-0,8
-0,8
This season — OBOS-ligaen · 24/22 matches
Win Ø 37%
33%
41%
Points per game
1,2
1,5
Over 2.5 Ø 54%
63%
45%
Both score Ø 63%
67%
59%
Average goals
3,2
2,8
Scored
1,3
1,4
Conceded
1,9
1,4
Goal diff per game
-0,5
+0,0
🔒 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 11. · KFUM Oslo 6.
# Team K V U T +/− P
1 Ham-Kam 24 16 5 3 +34 53
2 Jerv 24 14 6 4 +6 48
3 Aalesund 24 13 8 3 +21 47
4 Fredrikstad 23 12 6 5 +17 42
5 Sogndal 24 9 7 8 +4 34
6 KFUM Oslo 22 9 6 7 +0 33
7 Raufoss 24 9 4 11 +4 31
8 Ranheim 24 8 7 9 +1 31
9 Start 25 8 6 11 -2 30
10 Sandnes ULF 24 8 6 10 -6 30
11 Asane 24 8 5 11 -13 29
12 Bryne 24 8 4 12 -5 28
13 Ull/Kisa 24 6 6 12 -13 24
14 Grorud 24 7 3 14 -17 24
15 Stjørdals-Blink 24 7 3 14 -18 24
16 Strommen 24 2 12 10 -13 18

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.