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OBOS-ligaen
Referee: Jan Morten Tennøy
Stabaek
S U S S T
2–2
Full-time
Kongsvinger
U T T T S

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Stabaek Kongsvinger
Last 6 — all competitions · 6/6 matches
Win Ø 42%
67%
17%
Points per game
2,2
0,7
Over 2.5 Ø 67%
50%
83%
Both score Ø 67%
50%
83%
Average goals
3,0
3,8
Scored
2,0
1,5
Conceded
1,0
2,3
Goal diff per game
+1,0
-0,8
This season — OBOS-ligaen · 8/8 matches
Win Ø 44%
38%
50%
Points per game
1,4
1,6
Over 2.5 Ø 51%
38%
63%
Both score Ø 51%
38%
63%
Average goals
2,5
3,4
Scored
1,3
2,1
Conceded
1,3
1,3
Goal diff per game
+0,0
+0,9
🔒 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 Stabaek 11. · Kongsvinger 5.
# Team K V U T +/− P
1 Lillestrom 8 6 2 0 +16 20
2 Sogndal 8 5 0 3 +4 15
3 Start 8 4 2 2 +3 14
4 hodd 9 4 2 3 +0 14
5 Kongsvinger 8 4 1 3 +7 13
6 Aalesund 7 3 4 0 +5 13
7 Odd 8 4 1 3 +2 13
8 Egersund 7 4 1 2 +2 13
9 Raufoss 8 3 3 2 +0 12
10 Moss 8 4 0 4 -5 12
11 Stabaek 8 3 2 3 +0 11
12 Ranheim 8 3 1 4 -2 10
13 Asane 8 2 3 3 -3 9
14 Mjondalen 9 1 2 6 -14 5
15 Lyn 9 1 1 7 -6 4
16 Skeid 9 0 3 6 -9 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.