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OBOS-ligaen
2–3
Full-time
Ull/Kisa
U S 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

Tromsdalen Uil Ull/Kisa
Last 6 — all competitions · 6/6 matches
Win Ø 25%
0%
50%
Points per game
0,5
1,7
Over 2.5 Ø 67%
50%
83%
Both score Ø 75%
83%
67%
Average goals
2,8
4,0
Scored
1,0
2,3
Conceded
1,8
1,7
Goal diff per game
-0,8
+0,7
This season — OBOS-ligaen · 22/21 matches
Win Ø 35%
27%
43%
Points per game
1,2
1,4
Over 2.5 Ø 61%
50%
71%
Both score Ø 67%
77%
57%
Average goals
2,7
3,4
Scored
1,3
1,7
Conceded
1,5
1,7
Goal diff per game
-0,2
+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 Tromsdalen Uil 10. · Ull/Kisa 7.
# Team K V U T +/− P
1 Bodo/Glimt 22 16 4 2 +31 52
2 Start 22 13 5 4 +19 44
3 Ranheim 22 12 5 5 +11 41
4 Sandnes ULF 22 11 7 4 +9 40
5 Floro 22 9 5 8 +6 32
6 Levanger 22 7 9 6 +3 30
7 Ull/Kisa 21 9 3 9 -1 30
8 Strommen 22 8 6 8 -3 30
9 Mjondalen 21 7 7 7 +3 28
10 Tromsdalen Uil 22 6 8 8 -4 26
11 Jerv 22 6 7 9 -6 25
12 Kongsvinger 22 6 5 11 +0 23
13 Asane 22 5 8 9 -11 23
14 Fredrikstad 22 3 10 9 -13 19
15 Elverum 22 2 10 10 -22 16
16 Arendal 22 3 5 14 -22 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.