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OBOS-ligaen
Referee: O Ekeli Valen
Raufoss
U S T U T
1–1
Full-time
Jerv
S S U 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

Raufoss Jerv
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
0,8
1,7
Over 2.5 Ø 67%
50%
83%
Both score Ø 67%
50%
83%
Average goals
3,2
3,7
Scored
1,3
2,2
Conceded
1,8
1,5
Goal diff per game
-0,5
+0,7
This season — OBOS-ligaen · 8/8 matches
Win Ø 25%
25%
25%
Points per game
1,0
1,4
Over 2.5 Ø 69%
50%
88%
Both score Ø 69%
50%
88%
Average goals
3,0
3,6
Scored
1,4
2,0
Conceded
1,6
1,6
Goal diff per game
-0,3
+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 Raufoss 12. · Jerv 8.
# Team K V U T +/− P
1 Tromso 8 8 0 0 +14 24
2 Ranheim 8 6 0 2 +9 18
3 Sogndal 8 5 0 3 +6 15
4 Sandnes ULF 8 4 2 2 -4 14
5 Asane 8 4 1 3 +3 13
6 Stjørdals-Blink 8 4 1 3 +1 13
7 KFUM Oslo 8 3 3 2 +3 12
8 Jerv 8 2 5 1 +3 11
9 Lillestrom 8 3 2 3 -1 11
10 Grorud 8 3 1 4 -2 10
11 Strommen 8 3 1 4 -3 10
12 Raufoss 8 2 2 4 -2 8
13 Øygarden 8 1 3 4 -4 6
14 Ull/Kisa 8 1 3 4 -7 6
15 Kongsvinger 8 1 2 5 -8 5
16 Ham-Kam 8 0 2 6 -8 2

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.