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Superligaen
Brondby
T S S T T
4–2
Full-time
Nordsjaelland
T U S T S

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.
🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Brondby Nordsjaelland
Last 6 — all competitions · 6/6 matches
Win Ø 50%
50%
50%
Points per game
1,5
1,7
Over 2.5 Ø 67%
67%
67%
Both score Ø 59%
50%
67%
Average goals
2,8
3,2
Scored
1,3
1,7
Conceded
1,5
1,5
Goal diff per game
-0,2
+0,2
This season — Superligaen · 8/8 matches
Win Ø 50%
50%
50%
Points per game
1,6
1,6
Over 2.5 Ø 75%
75%
75%
Both score Ø 57%
50%
63%
Average goals
3,0
3,1
Scored
1,6
1,8
Conceded
1,4
1,4
Goal diff per game
+0,3
+0,4
🔒 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 Brondby 6. · Nordsjaelland 5.
# Team K V U T +/− P
1 Midtjylland 9 8 1 0 +12 25
2 FC Copenhagen 9 7 0 2 +8 21
3 Aarhus 9 4 2 3 +6 14
4 Aalborg 9 4 1 4 +5 13
5 Nordsjaelland 8 4 1 3 +3 13
6 Brondby 8 4 1 3 +2 13
7 Randers FC 9 3 2 4 +2 11
8 Sonderjyske 9 2 5 2 +1 11
9 Odense 8 3 2 3 +1 11
10 Hobro 9 2 5 2 -1 11
11 Horsens 9 3 1 5 -9 10
12 Lyngby 9 3 0 6 -8 9
13 Esbjerg 9 1 2 6 -11 5
14 Silkeborg 8 0 3 5 -11 3

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.