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OBOS-ligaen
Ham-Kam
U S S U U
1–2
Full-time
Aalesund
S S S U 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

Ham-Kam Aalesund
Last 6 — all competitions · 6/6 matches
Win Ø 58%
33%
83%
Points per game
1,5
2,7
Over 2.5 Ø 50%
50%
50%
Both score Ø 42%
50%
33%
Average goals
2,3
2,3
Scored
1,3
2,0
Conceded
1,0
0,3
Goal diff per game
+0,3
+1,7
This season — OBOS-ligaen · 10/10 matches
Win Ø 55%
30%
80%
Points per game
1,3
2,6
Over 2.5 Ø 40%
40%
40%
Both score Ø 40%
40%
40%
Average goals
2,0
2,4
Scored
1,0
1,9
Conceded
1,0
0,5
Goal diff per game
+0,0
+1,4
🔒 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 Ham-Kam 10. · Aalesund 1.
# Team K V U T +/− P
1 Aalesund 10 8 2 0 +14 26
2 Sandefjord 10 6 3 1 +5 21
3 Kongsvinger 11 6 3 2 +5 21
4 KFUM Oslo 10 6 1 3 +8 19
5 Start 10 6 1 3 +5 19
6 Raufoss 10 6 1 3 +2 19
7 Ull/Kisa 10 4 2 4 +7 14
8 Jerv 10 3 5 2 +0 14
9 Sandnes ULF 10 3 4 3 +2 13
10 Ham-Kam 10 3 4 3 +0 13
11 Sogndal 9 3 2 4 +0 11
12 Nest-Sotra 10 3 2 5 +0 11
13 Skeid 10 2 3 5 -3 9
14 Strommen 10 0 5 5 -8 5
15 Notodden 10 1 1 8 -12 4
16 Tromsdalen Uil 10 0 1 9 -25 1

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.