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OBOS-ligaen
Referee: T Hagen
Grorud
U T T U T
0–2
Full-time
Brann
S S 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

Grorud Brann
Last 6 — all competitions · 6/6 matches
Win Ø 50%
0%
100%
Points per game
0,5
3,0
Over 2.5 Ø 92%
83%
100%
Both score Ø 67%
83%
50%
Average goals
3,2
5,2
Scored
1,3
4,7
Conceded
1,8
0,5
Goal diff per game
-0,5
+4,2
This season — OBOS-ligaen · 10/10 matches
Win Ø 40%
0%
80%
Points per game
0,6
2,6
Over 2.5 Ø 80%
80%
80%
Both score Ø 75%
90%
60%
Average goals
3,4
3,9
Scored
1,4
3,2
Conceded
2,0
0,7
Goal diff per game
-0,6
+2,5
🔒 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 Grorud 14. · Brann 1.
# Team K V U T +/− P
1 Brann 10 8 2 0 +25 26
2 Mjondalen 10 7 1 2 +1 22
3 Stabaek 11 5 5 1 +10 20
4 Ranheim 10 6 2 2 +1 20
5 Sogndal 10 5 2 3 +1 17
6 Start 10 4 4 2 +9 16
7 Sandnes ULF 9 5 1 3 -4 16
8 KFUM Oslo 9 4 3 2 +2 15
9 Raufoss 10 3 4 3 -5 13
10 Fredrikstad 10 3 3 4 +0 12
11 Asane 10 2 3 5 -9 9
12 Kongsvinger 8 2 2 4 -1 8
13 Bryne 10 2 2 6 -4 8
14 Grorud 10 0 6 4 -6 6
15 Stjørdals-Blink 10 1 2 7 -9 5
16 Skeid 11 1 0 10 -11 3

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.