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OBOS-ligaen
Referee: A Medic
Skeid
T U S T T
2–3
Full-time
Brann
U S U S U

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

Skeid Brann
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
0,7
1,5
Over 2.5 Ø 75%
83%
67%
Both score Ø 75%
83%
67%
Average goals
4,5
3,7
Scored
2,0
2,2
Conceded
2,5
1,5
Goal diff per game
-0,5
+0,7
This season — OBOS-ligaen · 2/2 matches
Win Ø 25%
0%
50%
Points per game
0,0
2,0
Over 2.5 Ø 50%
50%
50%
Both score Ø 50%
50%
50%
Average goals
3,0
3,0
Scored
1,0
2,5
Conceded
2,0
0,5
Goal diff per game
-1,0
+2,0
🔒 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 Skeid 15. · Brann 3.
# Team K V U T +/− P
1 Sandnes ULF 2 2 0 0 +2 6
2 Fredrikstad 3 1 2 0 +1 5
3 Brann 2 1 1 0 +4 4
4 Start 3 1 1 1 +3 4
5 Sogndal 2 1 1 0 +2 4
6 KFUM Oslo 2 1 1 0 +1 4
7 Stabaek 2 1 1 0 +1 4
8 Mjondalen 2 1 1 0 +1 4
9 Kongsvinger 2 1 0 1 +0 3
10 Grorud 2 0 2 0 +0 2
11 Stjørdals-Blink 2 0 1 1 -1 1
12 Raufoss 2 0 1 1 -2 1
13 Asane 2 0 1 1 -4 1
14 Ranheim 2 0 1 1 -4 1
15 Skeid 2 0 0 2 -2 0
16 Bryne 2 0 0 2 -2 0

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.