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OBOS-ligaen
Referee: E Bodding
Brann
S S T S S
4–1
Full-time
KFUM Oslo
U T U 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

Brann KFUM Oslo
Last 6 — all competitions · 6/6 matches
Win Ø 58%
83%
33%
Points per game
2,5
1,3
Over 2.5 Ø 92%
100%
83%
Both score Ø 50%
33%
67%
Average goals
4,3
3,7
Scored
3,7
2,0
Conceded
0,7
1,7
Goal diff per game
+3,0
+0,3
This season — OBOS-ligaen · 29/28 matches
Win Ø 68%
86%
50%
Points per game
2,7
1,8
Over 2.5 Ø 83%
76%
89%
Both score Ø 60%
41%
79%
Average goals
3,7
3,7
Scored
3,1
2,1
Conceded
0,5
1,6
Goal diff per game
+2,6
+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 Brann 1. · KFUM Oslo 4.
# Team K V U T +/− P
1 Brann 29 25 3 1 +76 78
2 Stabaek 29 15 10 4 +32 55
3 Start 28 15 6 7 +25 51
4 KFUM Oslo 28 14 7 7 +15 49
5 Kongsvinger 26 12 7 7 +10 43
6 Ranheim 29 12 7 10 -2 43
7 Mjondalen 29 13 3 13 -6 42
8 Sandnes ULF 28 12 5 11 -3 41
9 Sogndal 29 11 7 11 -1 40
10 Bryne 29 9 8 12 -8 35
11 Raufoss 29 9 8 12 -16 35
12 Fredrikstad 29 8 8 13 -6 32
13 Asane 29 8 8 13 -23 32
14 Skeid 29 8 4 17 -14 28
15 Grorud 29 3 8 18 -37 17
16 Stjørdals-Blink 29 3 5 21 -42 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.

Recent head-to-head meetings

9. May -22 KFUM Oslo – Brann 1–5

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.