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OBOS-ligaen
Referee: M Grøtta
Start
T S T T U
0–3
Full-time
Bryne
S T S S S

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 Bryne
Last 6 — all competitions · 6/6 matches
Win Ø 42%
17%
67%
Points per game
0,8
2,2
Over 2.5 Ø 33%
33%
33%
Both score Ø 50%
50%
50%
Average goals
1,8
2,0
Scored
0,7
1,3
Conceded
1,2
0,7
Goal diff per game
-0,5
+0,7
This season — OBOS-ligaen · 29/28 matches
Win Ø 42%
38%
46%
Points per game
1,5
1,6
Over 2.5 Ø 64%
66%
61%
Both score Ø 62%
62%
61%
Average goals
2,9
2,5
Scored
1,6
1,4
Conceded
1,2
1,1
Goal diff per game
+0,4
+0,3
🔒 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 6. · Bryne 5.
# Team K V U T +/− P
1 Fredrikstad 30 18 10 2 +27 64
2 KFUM Oslo 30 17 7 6 +20 58
3 Kongsvinger 29 16 3 10 +14 51
4 Kristiansund 28 13 7 8 +16 46
5 Bryne 28 13 5 10 +8 44
6 Start 29 11 10 8 +11 43
7 Sogndal 30 12 7 11 +0 43
8 Ranheim 30 12 4 14 -17 40
9 Raufoss 30 10 8 12 -1 38
10 Moss 30 10 8 12 -3 38
11 Sandnes ULF 30 10 7 13 -3 37
12 Asane 30 9 10 11 -3 37
13 Mjondalen 30 10 7 13 -3 37
14 hodd 30 8 9 13 -9 33
15 Jerv 30 8 7 15 -19 31
16 Skeid 30 3 5 22 -38 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.