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DBU Pokalen
Referee: M Krogh
Midtjylland
S S S S U
1–1
Full-time
Aarhus
S T U S 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

Midtjylland Aarhus
Last 6 — all competitions · 6/6 matches
Win Ø 75%
83%
67%
Points per game
2,7
2,2
Over 2.5 Ø 59%
50%
67%
Both score Ø 58%
33%
83%
Average goals
2,5
3,3
Scored
2,2
2,2
Conceded
0,3
1,2
Goal diff per game
+1,8
+1,0
xG created Pro
xG conceded Pro
xG diff Pro
This season — DBU Pokalen · 5/5 matches
Win Ø 70%
80%
60%
Points per game
2,4
1,8
Over 2.5 Ø 70%
80%
60%
Both score Ø 50%
40%
60%
Average goals
3,4
2,4
Scored
2,8
1,4
Conceded
0,6
1,0
Goal diff per game
+2,2
+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 Midtjylland 3. · Aarhus 9.
# Team K V U T +/− P
1 FC Copenhagen 6 6 0 0 +11 18
2 Odense 5 4 0 1 +16 12
3 Midtjylland 5 4 0 1 +11 12
4 Vejle 5 4 0 1 +9 12
5 Viborg 7 3 1 3 +7 10
6 Esbjerg 6 3 1 2 -1 10
7 Aarhus Fremad 4 3 0 1 +12 9
8 Hobro 4 3 0 1 +3 9
9 Aarhus 5 3 0 2 +2 9
10 Nordsjaelland 4 3 0 1 +1 9
11 Fredericia 3 2 1 0 +3 7
12 Brønshøj 4 2 1 1 +1 7
13 Lyseng 4 2 1 1 -2 7
14 Sonderjyske 3 2 0 1 +10 6
15 VSK Århus 3 2 0 1 +8 6
16 Holbæk B&I 3 2 0 1 +7 6
17 Roskilde 3 2 0 1 +6 6
18 Hillerød 3 2 0 1 +5 6
19 HIK 3 2 0 1 +5 6
20 Thisted FC 3 2 0 1 +5 6
21 Kolding IF 3 2 0 1 +4 6
22 Sundby 3 2 0 1 +3 6
23 Aalborg 3 2 0 1 +3 6
24 Ringsted 3 2 0 1 +2 6
25 Silkeborg 3 2 0 1 +2 6
26 Oksbøl 3 2 0 1 +1 6
27 Hvidovre IF 3 2 0 1 +1 6
28 Kolding B 3 2 0 1 -1 6
29 B 93 3 1 1 1 +7 4
30 Odder 2 1 1 0 +2 4
31 GVI 2 1 1 0 +2 4
32 AB Copenhagen 2 1 1 0 +2 4
33 Randers FC 2 1 1 0 +1 4
34 Lyngby 3 1 1 1 -1 4
35 Skjold Sæby 2 1 0 1 +5 3
36 Vejgaard B 2 1 0 1 +5 3
37 Vanløse 2 1 0 1 +4 3
38 FC Nakskov 2 1 0 1 +2 3
39 Brondby 2 1 0 1 +1 3
40 Skive 2 1 0 1 +1 3
41 FC Horsens 2 1 0 1 +0 3
42 Farsø/Ullits 2 1 0 1 +0 3
43 Middelfart 2 1 0 1 +0 3
44 BSI 2 1 0 1 +0 3
45 Horsens 2 1 0 1 +0 3
46 FA 2000 2 1 0 1 +0 3
47 Tune 2 1 0 1 -1 3
48 Skanderborg 2 1 0 1 -2 3
49 Ishøj 2 1 0 1 -2 3
50 B 1909 2 1 0 1 -2 3
51 Bramming 2 1 0 1 -3 3
52 Mejrup 2 1 0 1 -3 3
53 Marstal / Rise 2 1 0 1 -4 3
54 Gørslev 2 1 0 1 -4 3
55 Silkeborg KFUM 3 1 0 2 -7 3
56 Raklev 2 1 0 1 -8 3
57 FC Kalundborg 2 1 0 1 -10 3
58 LSF 2 0 2 0 +0 2
59 Frem 1 0 1 0 +0 1
60 Nykobing FC 1 0 0 1 -1 0
61 HB Koge 1 0 0 1 -1 0
62 Nørresundby 1 0 0 1 -1 0
63 OKS 1 0 0 1 -1 0
64 Tved 1 0 0 1 -1 0
65 SfB-Oure 1 0 0 1 -1 0
66 Næsby 1 0 0 1 -1 0
67 Fremad Amager 1 0 0 1 -1 0
68 Vendsyssel FF 1 0 0 1 -1 0
69 Marienlyst 1 0 0 1 -1 0
70 ASA Aarhus 1 0 0 1 -1 0
71 Naestved 1 0 0 1 -1 0
72 ESPM 1 0 0 1 -1 0
73 TRIF 1 0 0 1 -1 0
74 Nerashté Ballerup 1 0 0 1 -1 0
75 FC Helsingor 1 0 0 1 -1 0
76 Sønderborg 1 0 0 1 -1 0
77 Tårnby FF 1 0 0 1 -1 0
78 Stenløse 1 0 0 1 -1 0
79 Allerød 1 0 0 1 -2 0
80 Holstebro 1 0 0 1 -2 0
81 Skovsgård 1 0 0 1 -2 0
82 Rudersdal 1 0 0 1 -2 0
83 Fredensborg BI 1 0 0 1 -2 0
84 NB Bornholm 1 0 0 1 -2 0
85 Kastrup 1 0 0 1 -2 0
86 Skødstrup 1 0 0 1 -2 0
87 Avarta 1 0 0 1 -2 0
88 Billund 1 0 0 1 -3 0
89 Brabrand 1 0 0 1 -3 0
90 BK Chang 1 0 0 1 -3 0
91 Grenaa 1 0 0 1 -3 0
92 Skibsby-Hojene 1 0 0 1 -3 0
93 KFUM Odense 1 0 0 1 -4 0
94 Kjellerup 1 0 0 1 -4 0
95 BiH Odense 1 0 0 1 -5 0
96 Frem Sakskøbing 1 0 0 1 -5 0
97 Norager 1 0 0 1 -5 0
98 Husum 1 0 0 1 -5 0
99 Viktoria 1 0 0 1 -5 0
100 Øresund OKF 1 0 0 1 -5 0
101 Vallensbæk 1 0 0 1 -6 0
102 Snejbjerg 1 0 0 1 -6 0
103 LUIF 1 0 0 1 -7 0
104 Ålholm 1 0 0 1 -10 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.