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OBOS-ligaen
Referee: M Kellerhals
Grorud
T T U S T
1–2
Full-time
Aalesund
T S S S 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

Grorud Aalesund
Last 6 — all competitions · 6/6 matches
Win Ø 34%
17%
50%
Points per game
0,8
1,8
Over 2.5 Ø 50%
67%
33%
Both score Ø 50%
67%
33%
Average goals
3,5
2,5
Scored
1,3
1,7
Conceded
2,2
0,8
Goal diff per game
-0,8
+0,8
This season — OBOS-ligaen · 10/10 matches
Win Ø 40%
30%
50%
Points per game
1,2
1,7
Over 2.5 Ø 50%
60%
40%
Both score Ø 50%
60%
40%
Average goals
3,3
2,7
Scored
1,5
1,5
Conceded
1,8
1,2
Goal diff per game
-0,3
+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 Grorud 10. · Aalesund 4.
# Team K V U T +/− P
1 Ham-Kam 11 7 2 2 +13 23
2 Jerv 9 6 1 2 +1 19
3 Bryne 10 5 2 3 +3 17
4 Aalesund 10 5 2 3 +3 17
5 Asane 11 5 1 5 -1 16
6 Fredrikstad 9 4 3 2 +5 15
7 Raufoss 10 4 2 4 +3 14
8 Sogndal 10 3 3 4 +4 12
9 KFUM Oslo 8 3 3 2 +3 12
10 Grorud 10 3 3 4 -3 12
11 Strommen 10 2 5 3 -3 11
12 Ull/Kisa 10 3 2 5 -4 11
13 Sandnes ULF 10 2 4 4 -3 10
14 Start 10 3 1 6 -5 10
15 Ranheim 10 2 4 4 -6 10
16 Stjørdals-Blink 10 3 0 7 -10 9

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.