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OBOS-ligaen
Referee: Harald Vollstad Sletner
Lillestrom
S U S S U
2–2
Full-time
Asane
T T S T S

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

Lillestrom Asane
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
2,0
1,2
Over 2.5 Ø 42%
33%
50%
Both score Ø 50%
50%
50%
Average goals
2,8
3,0
Scored
2,2
0,8
Conceded
0,7
2,2
Goal diff per game
+1,5
-1,3
This season — OBOS-ligaen · 10/10 matches
Win Ø 50%
70%
30%
Points per game
2,4
1,2
Over 2.5 Ø 45%
50%
40%
Both score Ø 45%
30%
60%
Average goals
2,7
2,5
Scored
2,2
1,1
Conceded
0,5
1,4
Goal diff per game
+1,7
-0,3
🔒 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 Lillestrom 1. · Asane 13.
# Team K V U T +/− P
1 Lillestrom 10 7 3 0 +17 24
2 Start 10 5 3 2 +6 18
3 Kongsvinger 10 5 2 3 +9 17
4 Odd 10 5 2 3 +3 17
5 Sogndal 10 5 1 4 +2 16
6 hodd 10 4 3 3 +0 15
7 Aalesund 9 3 5 1 +4 14
8 Raufoss 10 3 5 2 +0 14
9 Egersund 8 4 1 3 +1 13
10 Stabaek 10 3 4 3 +0 13
11 Ranheim 9 4 1 4 -1 13
12 Moss 10 4 1 5 -8 13
13 Asane 10 3 3 4 -3 12
14 Mjondalen 10 1 3 6 -14 6
15 Lyn 10 1 2 7 -6 5
16 Skeid 10 0 3 7 -10 3

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.