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OBOS-ligaen
Referee: M Koløy
Kongsvinger
S U S S S
2–1
Full-time
Start
S T T T S

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

Kongsvinger Start
Last 6 — all competitions · 6/6 matches
Win Ø 67%
83%
50%
Points per game
2,7
1,5
Over 2.5 Ø 75%
67%
83%
Both score Ø 59%
50%
67%
Average goals
3,7
2,8
Scored
2,5
1,5
Conceded
1,2
1,3
Goal diff per game
+1,3
+0,2
This season — OBOS-ligaen · 13/13 matches
Win Ø 54%
69%
38%
Points per game
2,1
1,5
Over 2.5 Ø 77%
62%
92%
Both score Ø 62%
38%
85%
Average goals
2,6
3,8
Scored
1,6
2,2
Conceded
1,0
1,7
Goal diff per game
+0,6
+0,5
🔒 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 1. · Start 7.
# Team K V U T +/− P
1 Kongsvinger 13 9 0 4 +8 27
2 Fredrikstad 13 6 7 0 +7 25
3 Sogndal 14 7 3 4 +3 24
4 KFUM Oslo 14 6 4 4 +6 22
5 Kristiansund 13 6 4 3 +6 22
6 Jerv 14 6 3 5 +1 21
7 Start 13 5 5 3 +6 20
8 Ranheim 13 6 2 5 -3 20
9 Moss 14 5 4 5 -3 19
10 Mjondalen 14 5 3 6 -1 18
11 Sandnes ULF 14 3 5 6 -1 14
12 hodd 14 3 5 6 -4 14
13 Raufoss 13 3 4 6 -1 13
14 Bryne 12 3 4 5 -4 13
15 Asane 14 1 7 6 -5 10
16 Skeid 14 2 4 8 -15 10

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.