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OBOS-ligaen
Referee: M Koløy
Strommen
T S T T T
4–0
Full-time
Sandnes ULF
S U U S 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

Strommen Sandnes ULF
Last 6 — all competitions · 6/6 matches
Win Ø 42%
17%
67%
Points per game
0,5
2,3
Over 2.5 Ø 75%
83%
67%
Both score Ø 58%
33%
83%
Average goals
2,8
3,5
Scored
0,5
2,2
Conceded
2,3
1,3
Goal diff per game
-1,8
+0,8
This season — OBOS-ligaen · 5/5 matches
Win Ø 40%
20%
60%
Points per game
0,6
2,2
Over 2.5 Ø 70%
80%
60%
Both score Ø 60%
40%
80%
Average goals
2,8
3,6
Scored
0,6
2,2
Conceded
2,2
1,4
Goal diff per game
-1,6
+0,8
🔒 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 15. · Sandnes ULF 3.
# Team K V U T +/− P
1 Tromso 5 5 0 0 +6 15
2 Ranheim 5 4 0 1 +6 12
3 Sandnes ULF 5 3 2 0 +4 11
4 KFUM Oslo 5 3 1 1 +4 10
5 Stjørdals-Blink 5 3 0 2 +2 9
6 Asane 5 3 0 2 +1 9
7 Jerv 5 2 2 1 +3 8
8 Raufoss 5 2 1 2 +2 7
9 Lillestrom 5 2 1 2 +0 7
10 Sogndal 5 2 0 3 +1 6
11 Grorud 5 2 0 3 -3 6
12 Ull/Kisa 5 1 2 2 -2 5
13 Øygarden 5 1 1 3 -3 4
14 Kongsvinger 5 1 0 4 -7 3
15 Strommen 5 1 0 4 -8 3
16 Ham-Kam 5 0 0 5 -6 0

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.