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OBOS-ligaen
Referee: S Hauge
hodd
S U T S T
1–2
Full-time
Kongsvinger
U S S 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

hodd Kongsvinger
Last 6 — all competitions · 6/6 matches
Win Ø 59%
50%
67%
Points per game
1,7
2,2
Over 2.5 Ø 67%
67%
67%
Both score Ø 67%
67%
67%
Average goals
3,0
3,3
Scored
1,7
2,2
Conceded
1,3
1,2
Goal diff per game
+0,3
+1,0
This season — OBOS-ligaen · 10/10 matches
Win Ø 55%
40%
70%
Points per game
1,4
2,3
Over 2.5 Ø 65%
50%
80%
Both score Ø 65%
60%
70%
Average goals
2,6
3,4
Scored
1,3
2,3
Conceded
1,3
1,1
Goal diff per game
+0,0
+1,2
🔒 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 hodd 7. · Kongsvinger 2.
# Team K V U T +/− P
1 Stromsgodset 10 7 2 1 +15 23
2 Kongsvinger 10 7 2 1 +12 23
3 Haugesund 10 7 1 2 +13 22
4 Odd 10 7 1 2 +11 22
5 Stabaek 10 5 3 2 +10 18
6 Ranheim 10 5 2 3 +8 17
7 hodd 10 4 2 4 +0 14
8 Moss 10 4 2 4 -4 14
9 Egersund 10 4 1 5 -3 13
10 Sogndal 10 3 3 4 -5 12
11 Bryne 10 3 1 6 -6 10
12 Sandnes ULF 10 3 1 6 -6 10
13 Lyn 10 3 1 6 -10 10
14 Asane 10 2 1 7 -9 7
15 Raufoss 10 2 1 7 -9 7
16 Strommen 10 1 2 7 -17 5

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.