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OBOS-ligaen
Start
T T T T S
2–1
Full-time
Raufoss
T T S S T

Retrospective analysis — the model is trained only on matches played before this one.

⚠️ One of the teams has played few league matches recently (e.g. newly promoted). The analysis is therefore more uncertain than usual, and we give no recommendations for this match.
🔒 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 Raufoss
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
0,5
1,0
Over 2.5 Ø 67%
67%
67%
Both score Ø 50%
67%
33%
Average goals
3,0
3,5
Scored
0,8
1,2
Conceded
2,2
2,3
Goal diff per game
-1,3
-1,2
This season — OBOS-ligaen · 2/2 matches
Win Ø 50%
50%
50%
Points per game
1,5
1,5
Over 2.5 Ø 50%
50%
50%
Both score Ø 50%
50%
50%
Average goals
2,0
2,5
Scored
1,0
1,0
Conceded
1,0
1,5
Goal diff per game
+0,0
-0,5
🔒 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 7. · Raufoss 10.
# Team K V U T +/− P
1 Sandefjord 3 2 1 0 +3 7
2 Aalesund 3 2 1 0 +2 7
3 Skeid 3 1 2 0 +1 5
4 Ull/Kisa 2 1 1 0 +3 4
5 Nest-Sotra 3 1 1 1 +1 4
6 Kongsvinger 3 1 1 1 +0 4
7 Start 2 1 0 1 +0 3
8 Strommen 3 0 3 0 +0 3
9 Sandnes ULF 3 0 3 0 +0 3
10 Raufoss 2 1 0 1 -1 3
11 Ham-Kam 3 1 0 2 -2 3
12 Jerv 2 0 2 0 +0 2
13 Notodden 2 0 1 1 -1 1
14 KFUM Oslo 3 0 1 2 -2 1
15 Sogndal 2 0 1 1 -3 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.