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OBOS-ligaen
Referee: A Medic
Skeid
T T U S T
1–2
Full-time
Bryne
S S U T U

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

Skeid Bryne
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,2
1,5
Over 2.5 Ø 50%
67%
33%
Both score Ø 50%
50%
50%
Average goals
3,7
1,8
Scored
1,5
1,2
Conceded
2,2
0,7
Goal diff per game
-0,7
+0,5
This season — OBOS-ligaen · 13/13 matches
Win Ø 15%
15%
15%
Points per game
0,5
0,8
Over 2.5 Ø 66%
69%
62%
Both score Ø 62%
54%
69%
Average goals
3,4
2,4
Scored
1,2
1,0
Conceded
2,2
1,4
Goal diff per game
-1,1
-0,4
🔒 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. · Bryne 13.
# Team K V U T +/− P
1 Brann 14 11 3 0 +30 36
2 Stabaek 14 7 6 1 +14 27
3 Ranheim 14 8 3 3 +7 27
4 Raufoss 13 6 4 3 +0 22
5 Mjondalen 13 7 1 5 -3 22
6 Sandnes ULF 13 7 1 5 -5 22
7 KFUM Oslo 12 6 3 3 +3 21
8 Sogndal 13 6 3 4 +1 21
9 Start 12 5 4 3 +10 19
10 Fredrikstad 12 3 5 4 +0 14
11 Asane 13 3 4 6 -11 13
12 Kongsvinger 10 2 4 4 -1 10
13 Bryne 13 2 4 7 -5 10
14 Grorud 13 0 6 7 -11 6
15 Skeid 13 2 0 11 -14 6
16 Stjørdals-Blink 14 1 3 10 -15 6

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.