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OBOS-ligaen
Start
T S S T U
4–0
Full-time
Strommen
U U U T 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

Start Strommen
Last 6 — all competitions · 6/6 matches
Win Ø 17%
33%
0%
Points per game
1,2
0,7
Over 2.5 Ø 34%
67%
0%
Both score Ø 50%
67%
33%
Average goals
2,8
1,0
Scored
1,2
0,3
Conceded
1,7
0,7
Goal diff per game
-0,5
-0,3
This season — OBOS-ligaen · 5/5 matches
Win Ø 20%
40%
0%
Points per game
1,4
0,8
Over 2.5 Ø 30%
60%
0%
Both score Ø 50%
60%
40%
Average goals
2,6
1,0
Scored
1,2
0,4
Conceded
1,4
0,6
Goal diff per game
-0,2
-0,2
🔒 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 Start 9. · Strommen 12.
# Team K V U T +/− P
1 Aalesund 6 5 1 0 +7 16
2 Sandefjord 6 3 3 0 +4 12
3 Raufoss 5 3 0 2 +1 9
4 Skeid 5 2 2 1 +2 8
5 Kongsvinger 5 2 2 1 +2 8
6 Ull/Kisa 5 2 1 2 +7 7
7 Nest-Sotra 6 2 1 3 +1 7
8 KFUM Oslo 5 2 1 2 +0 7
9 Start 5 2 1 2 -1 7
10 Jerv 4 1 3 0 +2 6
11 Sandnes ULF 5 1 3 1 +1 6
12 Strommen 5 0 4 1 -1 4
13 Ham-Kam 4 1 1 2 -2 4
14 Sogndal 5 1 1 3 -4 4
15 Notodden 5 0 1 4 -7 1
16 Tromsdalen Uil 4 0 1 3 -12 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.