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OBOS-ligaen
Kongsvinger
T S U T T
1–1
Full-time

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

Kongsvinger Tromsdalen Uil
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,2
1,3
Over 2.5 Ø 75%
67%
83%
Both score Ø 75%
67%
83%
Average goals
3,5
3,8
Scored
2,0
1,8
Conceded
1,5
2,0
Goal diff per game
+0,5
-0,2
This season — OBOS-ligaen · 23/23 matches
Win Ø 41%
43%
39%
Points per game
1,4
1,4
Over 2.5 Ø 68%
74%
61%
Both score Ø 66%
70%
61%
Average goals
3,6
3,1
Scored
2,0
1,5
Conceded
1,6
1,6
Goal diff per game
+0,3
-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 Kongsvinger 6. · Tromsdalen Uil 7.
# Team K V U T +/− P
1 Viking 24 16 1 7 +20 49
2 Aalesund 21 15 3 3 +27 48
3 Mjondalen 23 13 7 3 +19 46
4 Sogndal 22 11 5 6 +12 38
5 Ull/Kisa 22 9 7 6 +12 34
6 Kongsvinger 23 10 3 10 +8 33
7 Tromsdalen Uil 23 9 6 8 -3 33
8 Jerv 24 8 8 8 -5 32
9 Sandnes ULF 23 8 7 8 -5 31
10 Ham-Kam 23 8 5 10 -1 29
11 Nest-Sotra 23 8 5 10 -2 29
12 Asane 23 8 5 10 -6 29
13 Notodden 23 7 4 12 -7 25
14 Strommen 24 8 1 15 -14 25
15 Floro 24 6 3 15 -28 21
16 Levanger 23 3 4 16 -27 13

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.