← Match Finder
Allsvenskan
Hacken
U S U T T
1–2
Full-time
Sirius
T 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

Hacken Sirius
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,3
0,8
Over 2.5 Ø 34%
50%
17%
Both score Ø 42%
50%
33%
Average goals
2,0
2,0
Scored
1,2
0,5
Conceded
0,8
1,5
Goal diff per game
+0,3
-1,0
This season — Allsvenskan · 2/2 matches
Win Ø 25%
0%
50%
Points per game
0,0
2,0
Over 2.5 Ø 25%
50%
0%
Both score Ø 50%
50%
50%
Average goals
2,0
1,5
Scored
0,5
1,0
Conceded
1,5
0,5
Goal diff per game
-1,0
+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 Hacken 15. · Sirius 5.
# Team K V U T +/− P
1 Djurgarden 2 2 0 0 +3 6
2 Malmo FF 2 2 0 0 +2 6
3 Ostersunds 2 1 1 0 +5 4
4 Goteborg 2 1 1 0 +2 4
5 Sirius 2 1 1 0 +1 4
6 Kalmar 2 1 1 0 +1 4
7 Hammarby 2 1 0 1 +1 3
8 Elfsborg 2 1 0 1 +0 3
9 AIK 2 1 0 1 +0 3
10 Halmstad 2 1 0 1 +0 3
11 Norrkoping 2 0 1 1 -1 1
12 Varberg 2 0 1 1 -2 1
13 Mjallby 2 0 1 1 -2 1
14 Orebro 2 0 1 1 -5 1
15 Hacken 2 0 0 2 -2 0
16 Degerfors 2 0 0 2 -3 0

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.