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OBOS-ligaen
Referee: A Medic
Sogndal
U T T U S
2–0
Full-time
Aalesund
S T S T 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

Sogndal Aalesund
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
0,8
1,2
Over 2.5 Ø 75%
83%
67%
Both score Ø 67%
83%
50%
Average goals
3,5
3,2
Scored
1,8
1,2
Conceded
1,7
2,0
Goal diff per game
+0,2
-0,8
This season — OBOS-ligaen · 5/5 matches
Win Ø 30%
20%
40%
Points per game
1,0
1,4
Over 2.5 Ø 70%
80%
60%
Both score Ø 70%
80%
60%
Average goals
3,2
3,2
Scored
1,8
1,4
Conceded
1,4
1,8
Goal diff per game
+0,4
-0,4
🔒 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 Sogndal 9. · Aalesund 8.
# Team K V U T +/− P
1 Fredrikstad 5 4 1 0 +7 13
2 Asane 5 4 0 1 +4 12
3 Ham-Kam 5 3 2 0 +7 11
4 Jerv 4 3 0 1 +0 9
5 Grorud 5 2 2 1 +2 8
6 Bryne 5 2 1 2 +3 7
7 Start 5 2 1 2 -1 7
8 Aalesund 5 2 1 2 -2 7
9 Sogndal 5 1 2 2 +2 5
10 Raufoss 5 1 2 2 -1 5
11 Sandnes ULF 5 1 2 2 -1 5
12 Ranheim 5 1 2 2 -6 5
13 KFUM Oslo 4 1 1 2 +1 4
14 Ull/Kisa 5 1 1 3 -3 4
15 Stjørdals-Blink 5 1 0 4 -7 3
16 Strommen 5 0 2 3 -5 2

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.