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Allsvenskan
Hacken
U S S T U
1–4
Full-time
Kalmar
S S T T U

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

Hacken Kalmar
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,5
1,3
Over 2.5 Ø 59%
50%
67%
Both score Ø 75%
83%
67%
Average goals
3,2
3,5
Scored
2,0
1,7
Conceded
1,2
1,8
Goal diff per game
+0,8
-0,2
This season — Allsvenskan · 25/25 matches
Win Ø 36%
32%
40%
Points per game
1,3
1,5
Over 2.5 Ø 52%
60%
44%
Both score Ø 64%
76%
52%
Average goals
3,1
2,5
Scored
1,6
1,2
Conceded
1,4
1,2
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 Hacken 9. · Kalmar 7.
# Team K V U T +/− P
1 Malmo FF 26 15 6 5 +25 51
2 Elfsborg 25 15 3 7 +17 48
3 Djurgarden 25 14 5 6 +14 47
4 AIK 25 14 5 6 +13 47
5 Hammarby 25 12 7 6 +9 43
6 Norrkoping 25 12 4 9 +8 40
7 Kalmar 25 10 8 7 +0 38
8 Varberg 26 8 9 9 +0 33
9 Hacken 25 8 8 9 +5 32
10 Goteborg 25 8 7 10 -1 31
11 Sirius 26 8 6 12 -16 30
12 Mjallby 25 6 10 9 +1 28
13 Degerfors 25 8 4 13 -15 28
14 Halmstad 25 5 12 8 -4 27
15 Orebro 25 4 5 16 -31 17
16 Ostersunds 26 3 5 18 -25 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.