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OBOS-ligaen
Moss
S U T T T
2–4
Full-time
Kongsvinger
S T S 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

Moss Kongsvinger
Last 6 — all competitions · 6/6 matches
Win Ø 34%
17%
50%
Points per game
0,7
1,8
Over 2.5 Ø 83%
83%
83%
Both score Ø 83%
83%
83%
Average goals
3,7
3,5
Scored
1,2
2,0
Conceded
2,5
1,5
Goal diff per game
-1,3
+0,5
This season — OBOS-ligaen · 25/24 matches
Win Ø 37%
28%
46%
Points per game
1,0
1,7
Over 2.5 Ø 78%
76%
79%
Both score Ø 72%
64%
79%
Average goals
3,6
3,7
Scored
1,4
2,1
Conceded
2,2
1,6
Goal diff per game
-0,8
+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 Moss 13. · Kongsvinger 5.
# Team K V U T +/− P
1 Lillestrom 26 21 5 0 +57 68
2 Start 25 13 5 7 +18 44
3 Lyn 26 13 5 8 +12 44
4 Aalesund 23 11 8 4 +15 41
5 Kongsvinger 24 11 8 5 +12 41
6 Egersund 23 10 6 7 +5 36
7 Sogndal 25 10 6 9 +0 36
8 Ranheim 24 10 5 9 -8 35
9 Odd 25 8 7 10 -1 31
10 hodd 25 8 6 11 -13 30
11 Asane 25 7 7 11 -10 28
12 Raufoss 25 6 8 11 -9 26
13 Moss 25 7 5 13 -19 26
14 Stabaek 25 5 10 10 -4 25
15 Mjondalen 24 4 6 14 -27 18
16 Skeid 26 1 9 16 -28 12

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.