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OBOS-ligaen
Referee: O Ekeli Valen
Strommen
U T T S T
3–0
Full-time
Ham-Kam
U S T S T

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

Strommen Ham-Kam
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
0,7
1,3
Over 2.5 Ø 58%
83%
33%
Both score Ø 59%
67%
50%
Average goals
4,0
2,2
Scored
1,5
1,0
Conceded
2,5
1,2
Goal diff per game
-1,0
-0,2
This season — OBOS-ligaen · 14/14 matches
Win Ø 22%
29%
14%
Points per game
1,0
0,7
Over 2.5 Ø 72%
79%
64%
Both score Ø 64%
57%
71%
Average goals
3,4
3,8
Scored
1,4
1,6
Conceded
2,0
2,2
Goal diff per game
-0,6
-0,6
🔒 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 Strommen 13. · Ham-Kam 16.
# Team K V U T +/− P
1 Tromso 14 10 2 2 +14 32
2 Ranheim 13 9 0 4 +20 27
3 Sogndal 13 7 3 3 +11 24
4 Sandnes ULF 14 7 3 4 -4 24
5 Lillestrom 14 6 5 3 +5 23
6 Asane 14 6 4 4 +8 22
7 Grorud 14 5 5 4 +3 20
8 Stjørdals-Blink 14 5 4 5 +0 19
9 Raufoss 14 4 5 5 +0 17
10 KFUM Oslo 14 4 5 5 -2 17
11 Jerv 14 3 6 5 -9 15
12 Ull/Kisa 14 3 5 6 -4 14
13 Strommen 14 4 2 8 -9 14
14 Kongsvinger 14 3 4 7 -9 13
15 Øygarden 14 2 5 7 -15 11
16 Ham-Kam 14 2 4 8 -9 10

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.