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OBOS-ligaen
Referee: H Sletner
1–1
Full-time
Strommen
U T U T T

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

Stjørdals-Blink Strommen
Last 6 — all competitions · 6/6 matches
Win Ø 17%
33%
0%
Points per game
1,2
0,5
Over 2.5 Ø 59%
67%
50%
Both score Ø 75%
83%
67%
Average goals
3,3
2,5
Scored
1,2
1,0
Conceded
2,2
1,5
Goal diff per game
-1,0
-0,5
This season — OBOS-ligaen · 17/17 matches
Win Ø 24%
35%
12%
Points per game
1,1
0,8
Over 2.5 Ø 47%
65%
29%
Both score Ø 62%
65%
59%
Average goals
3,0
2,1
Scored
1,1
0,8
Conceded
1,9
1,2
Goal diff per game
-0,9
-0,4
🔒 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 Stjørdals-Blink 12. · Strommen 16.
# Team K V U T +/− P
1 Ham-Kam 17 12 2 3 +24 38
2 Jerv 16 10 3 3 +3 33
3 Aalesund 17 9 5 3 +8 32
4 Fredrikstad 17 8 5 4 +11 29
5 KFUM Oslo 16 7 5 4 +5 26
6 Sogndal 17 7 4 6 +6 25
7 Ranheim 17 6 5 6 +0 23
8 Asane 17 7 2 8 -6 23
9 Ull/Kisa 17 6 4 7 -4 22
10 Raufoss 17 6 3 8 -1 21
11 Start 17 5 4 8 -2 19
12 Stjørdals-Blink 17 6 1 10 -15 19
13 Bryne 17 5 3 9 -4 18
14 Sandnes ULF 17 4 5 8 -8 17
15 Grorud 17 4 3 10 -10 15
16 Strommen 17 2 8 7 -7 14

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.