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Allsvenskan
Goteborg
T T S T S
2–2
Full-time

Retrospective analysis — the model is trained only on matches played before this one.

⚠️ One of the teams has played few league matches recently (e.g. newly promoted). The analysis is therefore more uncertain than usual, and we give no recommendations for this match.
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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

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