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OBOS-ligaen
Strommen
T T S T T
2–6
Full-time
Kongsvinger
S S T U 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

Strommen Kongsvinger
Last 6 — all competitions · 6/6 matches
Win Ø 50%
33%
67%
Points per game
1,0
2,2
Over 2.5 Ø 92%
83%
100%
Both score Ø 83%
83%
83%
Average goals
3,8
3,7
Scored
1,3
2,5
Conceded
2,5
1,2
Goal diff per game
-1,2
+1,3
This season — OBOS-ligaen · 16/16 matches
Win Ø 35%
25%
44%
Points per game
0,8
1,4
Over 2.5 Ø 82%
88%
75%
Both score Ø 72%
75%
69%
Average goals
3,7
3,3
Scored
1,5
1,7
Conceded
2,2
1,6
Goal diff per game
-0,7
+0,1
🔒 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 Strommen 14. · Kongsvinger 7.
# Team K V U T +/− P
1 Aalesund 14 11 1 2 +22 34
2 Viking 16 10 1 5 +14 31
3 Sogndal 15 9 4 2 +11 31
4 Mjondalen 16 8 5 3 +12 29
5 Ull/Kisa 16 7 5 4 +11 26
6 Tromsdalen Uil 16 7 4 5 -1 25
7 Kongsvinger 16 7 2 7 +1 23
8 Sandnes ULF 16 6 4 6 -2 22
9 Jerv 15 5 5 5 -2 20
10 Notodden 16 6 2 8 -3 20
11 Nest-Sotra 16 5 4 7 -1 19
12 Asane 16 5 4 7 -8 19
13 Ham-Kam 16 4 5 7 -3 17
14 Strommen 16 4 1 11 -11 13
15 Levanger 16 3 3 10 -16 12
16 Floro 16 3 2 11 -24 11

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.