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OBOS-ligaen
Referee: O Ekeli Valen
Asane
T T U S U
3–3
Full-time
Ull/Kisa
T T T T 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

Asane Ull/Kisa
Last 6 — all competitions · 6/6 matches
Win Ø 9%
17%
0%
Points per game
0,8
0,0
Over 2.5 Ø 59%
67%
50%
Both score Ø 59%
67%
50%
Average goals
3,7
3,2
Scored
1,0
0,5
Conceded
2,7
2,7
Goal diff per game
-1,7
-2,2
This season — OBOS-ligaen · 22/22 matches
Win Ø 32%
36%
27%
Points per game
1,3
1,0
Over 2.5 Ø 55%
59%
50%
Both score Ø 57%
64%
50%
Average goals
3,0
2,9
Scored
1,2
1,1
Conceded
1,8
1,7
Goal diff per game
-0,5
-0,6
🔒 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 9. · Ull/Kisa 14.
# Team K V U T +/− P
1 Ham-Kam 22 15 4 3 +31 49
2 Aalesund 22 12 7 3 +18 43
3 Jerv 21 12 5 4 +4 41
4 Fredrikstad 21 10 6 5 +14 36
5 Sogndal 22 9 6 7 +7 33
6 KFUM Oslo 20 9 6 5 +4 33
7 Ranheim 22 8 6 8 +2 30
8 Raufoss 22 8 4 10 +2 28
9 Asane 22 8 4 10 -12 28
10 Start 22 7 5 10 -4 26
11 Sandnes ULF 22 7 5 10 -7 26
12 Bryne 22 7 4 11 -5 25
13 Stjørdals-Blink 22 7 2 13 -15 23
14 Ull/Kisa 22 6 4 12 -13 22
15 Grorud 22 6 3 13 -15 21
16 Strommen 22 2 11 9 -11 17

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.