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

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

Jerv Kongsvinger
Last 6 — all competitions · 6/6 matches
Win Ø 17%
33%
0%
Points per game
1,7
0,2
Over 2.5 Ø 67%
100%
33%
Both score Ø 67%
83%
50%
Average goals
4,0
3,2
Scored
2,3
0,8
Conceded
1,7
2,3
Goal diff per game
+0,7
-1,5
This season — OBOS-ligaen · 7/7 matches
Win Ø 22%
29%
14%
Points per game
1,4
0,6
Over 2.5 Ø 72%
100%
43%
Both score Ø 72%
86%
57%
Average goals
3,9
3,4
Scored
2,1
1,1
Conceded
1,7
2,3
Goal diff per game
+0,4
-1,1
🔒 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 Jerv 6. · Kongsvinger 15.
# Team K V U T +/− P
1 Tromso 7 7 0 0 +9 21
2 Ranheim 7 5 0 2 +6 15
3 Sandnes ULF 7 4 2 1 +1 14
4 Sogndal 7 4 0 3 +4 12
5 KFUM Oslo 7 3 3 1 +4 12
6 Jerv 7 2 4 1 +3 10
7 Stjørdals-Blink 7 3 1 3 +0 10
8 Asane 7 3 1 3 +0 10
9 Grorud 7 3 1 3 -1 10
10 Raufoss 7 2 2 3 +1 8
11 Lillestrom 7 2 2 3 -2 8
12 Strommen 7 2 1 4 -4 7
13 Øygarden 7 1 3 3 -3 6
14 Ull/Kisa 7 1 3 3 -4 6
15 Kongsvinger 7 1 1 5 -8 4
16 Ham-Kam 7 0 2 5 -6 2

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.