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OBOS-ligaen
Referee: E Bodding
Ham-Kam
T S T S S
3–2
Full-time
Start
S U S 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

Ham-Kam Start
Last 6 — all competitions · 6/6 matches
Win Ø 50%
67%
33%
Points per game
2,0
1,5
Over 2.5 Ø 67%
83%
50%
Both score Ø 75%
67%
83%
Average goals
3,7
3,3
Scored
2,5
1,8
Conceded
1,2
1,5
Goal diff per game
+1,3
+0,3
This season — OBOS-ligaen · 15/15 matches
Win Ø 50%
67%
33%
Points per game
2,1
1,3
Over 2.5 Ø 64%
67%
60%
Both score Ø 67%
53%
80%
Average goals
3,0
3,5
Scored
2,1
1,7
Conceded
0,9
1,7
Goal diff per game
+1,3
+0,0
🔒 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 1. · Start 9.
# Team K V U T +/− P
1 Ham-Kam 15 10 2 3 +19 32
2 Jerv 15 9 3 3 +2 30
3 Aalesund 16 8 5 3 +7 29
4 Fredrikstad 15 7 5 3 +11 26
5 Sogndal 16 7 4 5 +7 25
6 Asane 16 7 2 7 -2 23
7 Ull/Kisa 15 6 4 5 +1 22
8 Ranheim 16 5 5 6 -4 20
9 Start 15 5 4 6 +0 19
10 Raufoss 16 5 3 8 -2 18
11 Bryne 15 5 3 7 -2 18
12 KFUM Oslo 13 4 5 4 +2 17
13 Sandnes ULF 16 4 5 7 -7 17
14 Grorud 16 4 3 9 -9 15
15 Strommen 16 2 8 6 -6 14
16 Stjørdals-Blink 15 4 1 10 -17 13

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.