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

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

Start Kongsvinger
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,5
0,8
Over 2.5 Ø 50%
17%
83%
Both score Ø 59%
17%
100%
Average goals
1,2
3,5
Scored
0,7
1,5
Conceded
0,5
2,0
Goal diff per game
+0,2
-0,5
This season — OBOS-ligaen · 25/24 matches
Win Ø 47%
40%
54%
Points per game
1,6
1,8
Over 2.5 Ø 70%
68%
71%
Both score Ø 64%
60%
67%
Average goals
2,9
3,0
Scored
1,7
1,7
Conceded
1,2
1,3
Goal diff per game
+0,5
+0,4
🔒 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 Start 5. · Kongsvinger 3.
# Team K V U T +/− P
1 Fredrikstad 25 15 9 1 +22 54
2 KFUM Oslo 25 14 5 6 +15 47
3 Kongsvinger 24 13 3 8 +9 42
4 Sogndal 26 12 5 9 +4 41
5 Start 25 10 9 6 +13 39
6 Kristiansund 24 10 7 7 +7 37
7 Bryne 24 10 5 9 +6 35
8 Sandnes ULF 26 9 7 10 +3 34
9 Raufoss 26 9 7 10 +0 34
10 Moss 26 9 7 10 -2 34
11 Ranheim 25 10 3 12 -17 33
12 Asane 25 7 9 9 +1 30
13 Mjondalen 26 8 6 12 -5 30
14 Jerv 25 7 6 12 -15 27
15 hodd 26 6 7 13 -11 25
16 Skeid 26 3 5 18 -30 14

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.