← Match Finder
OBOS-ligaen
Referee: M Koløy
Asane
S U S T T
2–1
Full-time
Moss
S U S T 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.

Unlock with Pro

Already have an account? Log in

Team trends

Asane Moss
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
1,7
1,3
Over 2.5 Ø 59%
67%
50%
Both score Ø 42%
50%
33%
Average goals
3,2
2,0
Scored
1,5
1,3
Conceded
1,7
0,7
Goal diff per game
-0,2
+0,7
This season — OBOS-ligaen · 27/27 matches
Win Ø 30%
26%
33%
Points per game
1,1
1,3
Over 2.5 Ø 60%
67%
52%
Both score Ø 63%
70%
56%
Average goals
3,0
2,5
Scored
1,4
1,2
Conceded
1,6
1,3
Goal diff per game
-0,2
-0,1
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

Unlock with Pro

Already have an account? Log in

🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

Unlock with Pro

Already have an account? Log in

The table before the match Asane 13. · Moss 11.
# Team K V U T +/− P
1 Fredrikstad 27 17 9 1 +27 60
2 KFUM Oslo 28 16 6 6 +19 54
3 Kongsvinger 26 14 3 9 +10 45
4 Kristiansund 26 12 7 7 +12 43
5 Start 27 11 9 7 +12 42
6 Sogndal 28 12 6 10 +1 42
7 Ranheim 28 12 3 13 -16 39
8 Bryne 26 11 5 10 +6 38
9 Raufoss 27 9 8 10 +0 35
10 Sandnes ULF 27 9 7 11 +2 34
11 Moss 27 9 7 11 -3 34
12 Mjondalen 27 9 6 12 -3 33
13 Asane 27 7 9 11 -6 30
14 Jerv 28 8 6 14 -18 30
15 hodd 27 6 8 13 -11 26
16 Skeid 28 3 5 20 -32 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.

Recent head-to-head meetings

16. May -23 Moss – Asane 1–0

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.