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OBOS-ligaen
Referee: S Sletner
Aalesund
U S S S S
3–2
Full-time
Strommen
U T T U 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

Aalesund Strommen
Last 6 — all competitions · 6/6 matches
Win Ø 34%
67%
0%
Points per game
2,3
0,5
Over 2.5 Ø 59%
67%
50%
Both score Ø 75%
83%
67%
Average goals
4,7
2,5
Scored
3,3
1,0
Conceded
1,3
1,5
Goal diff per game
+2,0
-0,5
This season — OBOS-ligaen · 19/19 matches
Win Ø 35%
58%
11%
Points per game
2,0
0,8
Over 2.5 Ø 40%
53%
26%
Both score Ø 61%
63%
58%
Average goals
3,4
1,9
Scored
2,2
0,8
Conceded
1,3
1,2
Goal diff per game
+0,9
-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 Aalesund 3. · Strommen 15.
# Team K V U T +/− P
1 Ham-Kam 19 13 3 3 +27 42
2 Jerv 18 12 3 3 +6 39
3 Aalesund 19 11 5 3 +17 38
4 Fredrikstad 18 9 5 4 +13 32
5 Sogndal 19 9 4 6 +8 31
6 KFUM Oslo 17 7 5 5 +1 26
7 Ranheim 19 7 5 7 +0 26
8 Raufoss 19 7 3 9 +2 24
9 Asane 19 7 2 10 -13 23
10 Start 19 6 4 9 -2 22
11 Ull/Kisa 19 6 4 9 -8 22
12 Bryne 19 6 3 10 -5 21
13 Sandnes ULF 19 5 5 9 -8 20
14 Stjørdals-Blink 19 6 2 11 -16 20
15 Strommen 19 2 10 7 -7 16
16 Grorud 19 4 3 12 -15 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.