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OBOS-ligaen
Jerv
U T T T T
0–2
Full-time
Kongsvinger
S T S S T

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

Jerv Kongsvinger
Last 6 — all competitions · 6/6 matches
Win Ø 34%
17%
50%
Points per game
0,7
1,5
Over 2.5 Ø 58%
33%
83%
Both score Ø 58%
33%
83%
Average goals
2,8
3,2
Scored
0,5
1,7
Conceded
2,3
1,5
Goal diff per game
-1,8
+0,2
This season — OBOS-ligaen · 29/29 matches
Win Ø 37%
28%
45%
Points per game
1,1
1,5
Over 2.5 Ø 47%
48%
45%
Both score Ø 49%
52%
45%
Average goals
3,0
2,5
Scored
1,2
1,2
Conceded
1,8
1,2
Goal diff per game
-0,6
+0,0
🔒 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 12. · Kongsvinger 7.
# Team K V U T +/− P
1 Aalesund 29 24 4 1 +40 76
2 Sandefjord 29 19 8 2 +25 65
3 Start 29 18 5 6 +21 59
4 Nest-Sotra 29 14 6 9 +13 48
5 KFUM Oslo 29 12 9 8 +15 45
6 Sogndal 29 13 6 10 +13 45
7 Kongsvinger 29 13 4 12 +0 43
8 Sandnes ULF 29 11 5 13 +0 38
9 Raufoss 29 12 2 15 -11 38
10 Ull/Kisa 29 10 6 13 -2 36
11 Ham-Kam 29 10 5 14 -5 35
12 Jerv 29 8 9 12 -18 33
13 Strommen 29 6 10 13 -17 28
14 Notodden 29 6 7 16 -16 25
15 Skeid 29 3 10 16 -17 19
16 Tromsdalen Uil 29 3 4 22 -41 13

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.