← Match Finder
Allsvenskan
Goteborg
S T T T S
1–1
Full-time
Hacken
U U T U S

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

Goteborg Hacken
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,2
1,5
Over 2.5 Ø 34%
17%
50%
Both score Ø 34%
17%
50%
Average goals
1,5
2,3
Scored
0,5
1,3
Conceded
1,0
1,0
Goal diff per game
-0,5
+0,3
This season — Allsvenskan · 27/27 matches
Win Ø 30%
19%
41%
Points per game
1,0
1,6
Over 2.5 Ø 52%
52%
52%
Both score Ø 56%
59%
52%
Average goals
2,5
2,6
Scored
1,0
1,5
Conceded
1,5
1,0
Goal diff per game
-0,4
+0,5
🔒 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 Goteborg 13. · Hacken 4.
# Team K V U T +/− P
1 Malmo FF 28 16 9 3 +31 57
2 Elfsborg 28 12 13 3 +11 49
3 Djurgarden 28 13 6 9 +15 45
4 Hacken 27 11 11 5 +13 44
5 Hammarby 28 10 11 7 +2 41
6 Norrkoping 27 11 7 9 +11 40
7 Orebro 28 11 6 11 -2 39
8 Mjallby 27 10 8 9 +1 38
9 AIK 28 10 8 10 -2 38
10 Sirius 27 9 10 8 -5 37
11 Varberg 28 9 7 12 +1 34
12 Ostersunds 28 8 9 11 -11 33
13 Goteborg 27 5 12 10 -12 27
14 Kalmar 28 5 9 14 -20 24
15 Falkenbergs 27 5 8 14 -17 23
16 Helsingborg 28 4 10 14 -16 22

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.