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Superliga 2019/2020

Superliga is a soccer competition played in Denmark. The 2019/2020 season features 14 teams competing for the title of winners of the Superliga rankings. The competition takes place over various stages such as championship or relegation rounds. Among soccer teams playing in Superliga are Horsens, OB, Copenhagen, AaB. Check below for the Superliga table rankings, match results and schedule, football trends, top scoring players and disciplinary, among other various statistics like over/under, clean sheets / fail to score, score average or scoring sequences.

🏆 League Tables

   P W D L GF GA Dif Pts Last 5 PPG % Pts
1 Midtjylland 19 16 2 1 31 10 +21 50
2.63 87.72
2 Copenhagen 19 14 1 4 35 21 +14 43
2.26 75.44
3 AGF 19 10 3 6 31 21 +10 33
1.74 57.89
4 Brøndby 19 10 1 8 36 28 +8 31
1.63 54.39
5 AaB 20 8 4 8 31 24 +7 28
1.40 46.67
6 Nordsjælland 20 8 4 8 34 30 +4 28
1.40 46.67
7 OB 19 8 3 8 28 22 +6 27
1.42 47.37
8 Randers 19 8 3 8 32 28 +4 27
1.42 47.37
9 Lyngby 19 7 4 8 25 33 -8 25
1.32 43.86
10 SønderjyskE 19 5 7 7 23 32 -9 22
1.16 38.60
11 Horsens 19 6 4 9 16 31 -15 22
1.16 38.60
12 Hobro 19 2 10 7 19 26 -7 16
0.84 28.07
13 Esbjerg 19 3 4 12 17 32 -15 13
0.68 22.81
14 Silkeborg 19 2 4 13 25 45 -20 10
0.53 17.54
   P W D L GF GA Dif Pts
1 Copenhagen 9 8 1 0 21 7 14 25
2 Midtjylland 9 7 1 1 14 6 8 22
3 Brøndby 10 7 0 3 24 16 8 21
4 Randers 9 6 2 1 19 9 10 20
5 AGF 10 6 1 3 20 12 8 19
6 Lyngby 10 6 1 3 15 16 -1 19
7 Nordsjælland 9 5 2 2 14 7 7 17
8 OB 10 5 2 3 17 10 7 17
9 AaB 10 5 2 3 16 10 6 17
10 Horsens 9 4 1 4 8 16 -8 13
11 SønderjyskE 10 3 3 4 11 16 -5 12
12 Hobro 10 1 7 2 9 12 -3 10
13 Esbjerg 10 2 3 5 11 15 -4 9
14 Silkeborg 9 1 1 7 11 21 -10 4
   P W D L GF GA Dif Pts
1 Midtjylland 10 9 1 0 17 4 13 28
2 Copenhagen 10 6 0 4 14 14 0 18
3 AGF 9 4 2 3 11 9 2 14
4 AaB 10 3 2 5 15 14 1 11
5 Nordsjælland 11 3 2 6 20 23 -3 11
6 Brøndby 9 3 1 5 12 12 0 10
7 OB 9 3 1 5 11 12 -1 10
8 SønderjyskE 9 2 4 3 12 16 -4 10
9 Horsens 10 2 3 5 8 15 -7 9
10 Randers 10 2 1 7 13 19 -6 7
11 Hobro 9 1 3 5 10 14 -4 6
12 Lyngby 9 1 3 5 10 17 -7 6
13 Silkeborg 10 1 3 6 14 24 -10 6
14 Esbjerg 9 1 1 7 6 17 -11 4

📈 Trends

⚽ Matches

 Round 20 
Monday16/12/2019Copenhagen
18:00
OB
Sunday15/12/2019Midtjylland
17:00
AGF
Sunday15/12/2019Brøndby
15:00
Hobro
Sunday15/12/2019Randers
13:00
Esbjerg
Sunday15/12/2019Lyngby
13:00
Silkeborg
Sunday15/12/2019Horsens
11:00
SønderjyskE
Friday13/12/2019AaB
1 - 3
Nordsjælland

Players

We have allocated points to each yellow (1 point), yellow-red (2 points) and red card (3 points) for ranking purposes. Please note that this does not represent any official rankings.

Over/Under

Matches of...Played Total match goals (team goals + opponent goals)
Avg. over 0.5over 1.5over 2.5over 3.5over 4.5
AaB 20 2.75 95.00% 75.00% 55.00% 35.00% 10.00%
AGF 19 2.74 94.74% 78.95% 57.89% 15.79% 10.53%
Brøndby 19 3.37 100.00% 89.47% 84.21% 31.58% 15.79%
Copenhagen 19 2.95 94.74% 78.95% 68.42% 31.58% 15.79%
Esbjerg 19 2.58 100.00% 78.95% 57.89% 21.05% 0.00%
Hobro 19 2.37 89.47% 84.21% 42.11% 15.79% 5.26%
Horsens 19 2.47 89.47% 84.21% 57.89% 10.53% 5.26%
Lyngby 19 3.05 100.00% 94.74% 63.16% 21.05% 15.79%
Midtjylland 19 2.16 94.74% 63.16% 47.37% 5.26% 5.26%
Nordsjælland 20 3.20 100.00% 90.00% 70.00% 45.00% 10.00%
OB 19 2.63 84.21% 63.16% 57.89% 26.32% 21.05%
Randers 19 3.16 100.00% 89.47% 73.68% 26.32% 10.53%
Silkeborg 19 3.68 100.00% 94.74% 84.21% 42.11% 26.32%
SønderjyskE 19 2.89 84.21% 84.21% 68.42% 26.32% 15.79%
League Avg.    94.76% 82.09% 63.44% 25.26% 11.96%
Matches of...Played Total match goals (team goals + opponent goals)
Avg. over 0.5over 1.5over 2.5over 3.5over 4.5
AaB 10 2.60 100.00% 70.00% 50.00% 40.00% 0.00%
AGF 10 3.20 100.00% 80.00% 60.00% 30.00% 20.00%
Brøndby 10 4.00 100.00% 100.00% 100.00% 40.00% 30.00%
Copenhagen 9 3.11 88.89% 88.89% 77.78% 33.33% 11.11%
Esbjerg 10 2.60 100.00% 80.00% 60.00% 20.00% 0.00%
Hobro 10 2.10 80.00% 80.00% 30.00% 20.00% 0.00%
Horsens 9 2.67 100.00% 88.89% 55.56% 11.11% 11.11%
Lyngby 10 3.10 100.00% 100.00% 70.00% 10.00% 10.00%
Midtjylland 9 2.22 100.00% 55.56% 44.44% 11.11% 11.11%
Nordsjælland 9 2.33 100.00% 77.78% 44.44% 11.11% 0.00%
OB 10 2.70 80.00% 70.00% 70.00% 30.00% 20.00%
Randers 9 3.11 100.00% 88.89% 66.67% 33.33% 11.11%
Silkeborg 9 3.56 100.00% 88.89% 88.89% 33.33% 33.33%
SønderjyskE 10 2.70 80.00% 80.00% 70.00% 30.00% 10.00%
League Avg.    94.92% 82.06% 63.41% 25.24% 11.98%
Matches of...Played Total match goals (team goals + opponent goals)
Avg. over 0.5over 1.5over 2.5over 3.5over 4.5
AaB 10 2.90 90.00% 80.00% 60.00% 30.00% 20.00%
AGF 9 2.22 88.89% 77.78% 55.56% 0.00% 0.00%
Brøndby 9 2.67 100.00% 77.78% 66.67% 22.22% 0.00%
Copenhagen 10 2.80 100.00% 70.00% 60.00% 30.00% 20.00%
Esbjerg 9 2.56 100.00% 77.78% 55.56% 22.22% 0.00%
Hobro 9 2.67 100.00% 88.89% 55.56% 11.11% 11.11%
Horsens 10 2.30 80.00% 80.00% 60.00% 10.00% 0.00%
Lyngby 9 3.00 100.00% 88.89% 55.56% 33.33% 22.22%
Midtjylland 10 2.10 90.00% 70.00% 50.00% 0.00% 0.00%
Nordsjælland 11 3.91 100.00% 100.00% 90.91% 72.73% 18.18%
OB 9 2.56 88.89% 55.56% 44.44% 22.22% 22.22%
Randers 10 3.20 100.00% 90.00% 80.00% 20.00% 10.00%
Silkeborg 10 3.80 100.00% 100.00% 80.00% 50.00% 20.00%
SønderjyskE 9 3.11 88.89% 88.89% 66.67% 22.22% 22.22%
League Avg.    94.76% 81.83% 62.92% 24.72% 11.85%

Clean Sheets / Fail to Score

Clean Sheets
  CS Pld Perc.
Midtjylland 9 19 47.37%
OB 8 19 42.11%
AaB 7 20 35.00%
AGF 6 19 31.58%
Randers 5 19 26.32%
Brøndby 4 19 21.05%
Horsens 4 19 21.05%
Nordsjælland 4 20 20.00%
Copenhagen 3 19 15.79%
Hobro 2 19 10.53%
Lyngby 2 19 10.53%
SønderjyskE 2 19 10.53%
Esbjerg 1 19 5.26%
Silkeborg 0 19 0.00%
Failed to score
  FS Pld Perc.
Copenhagen 1 19 5.26%
Brøndby 2 19 10.53%
Midtjylland 2 19 10.53%
Nordsjælland 2 20 10.00%
AGF 3 19 15.79%
SønderjyskE 3 19 15.79%
Randers 4 19 21.05%
Hobro 5 19 26.32%
Lyngby 5 19 26.32%
OB 5 19 26.32%
Silkeborg 5 19 26.32%
AaB 6 20 30.00%
Esbjerg 6 19 31.58%
Horsens 9 19 47.37%

Score Average

  Avg. goals overall Avg. goals home Avg. goals away Pld
Scored Conc.TotalScoredConc.TotalScoredConc.Total
AaB 1.55 1.20 2.75 1.60 1.00 2.60 1.50 1.40 2.90 20
AGF 1.63 1.11 2.74 2.00 1.20 3.20 1.22 1.00 2.22 19
Brøndby 1.89 1.47 3.36 2.40 1.60 4.00 1.33 1.33 2.66 19
Copenhagen 1.84 1.11 2.95 2.33 0.78 3.11 1.40 1.40 2.80 19
Esbjerg 0.89 1.68 2.57 1.10 1.50 2.60 0.67 1.89 2.56 19
Hobro 1.00 1.37 2.37 0.90 1.20 2.10 1.11 1.56 2.67 19
Horsens 0.84 1.63 2.47 0.89 1.78 2.67 0.80 1.50 2.30 19
Lyngby 1.32 1.74 3.06 1.50 1.60 3.10 1.11 1.89 3.00 19
Midtjylland 1.63 0.53 2.16 1.56 0.67 2.23 1.70 0.40 2.10 19
Nordsjælland 1.70 1.50 3.20 1.56 0.78 2.34 1.82 2.09 3.91 20
OB 1.47 1.16 2.63 1.70 1.00 2.70 1.22 1.33 2.55 19
Randers 1.68 1.47 3.15 2.11 1.00 3.11 1.30 1.90 3.20 19
Silkeborg 1.32 2.37 3.69 1.22 2.33 3.55 1.40 2.40 3.80 19
SønderjyskE 1.21 1.68 2.89 1.10 1.60 2.70 1.33 1.78 3.11 19

Form – Scoring Sequences

  Current Sequences Consecutive matches without...
W D L W D L
AaB 0 0 1 3 1 0
AGF 0 1 0 1 0 5
Brøndby 0 0 3 3 17 0
Copenhagen 3 0 0 0 9 3
Esbjerg 0 0 2 2 4 0
Hobro 0 2 0 10 0 2
Horsens 0 1 0 1 0 2
Lyngby 0 3 0 3 0 4
Midtjylland 9 0 0 0 10 9
Nordsjælland 1 0 0 0 2 1
OB 0 1 0 5 0 1
Randers 0 0 1 1 3 0
Silkeborg 1 0 0 0 5 1
SønderjyskE 1 0 0 0 2 1
  Current Sequences Consecutive matches without...
W D L W D L
AaB 0 0 1 2 1 0
AGF 0 1 0 1 0 3
Brøndby 0 0 1 1 10 0
Copenhagen 5 0 0 0 5 9
Esbjerg 0 0 1 4 1 0
Hobro 0 3 0 5 0 3
Horsens 3 0 0 0 3 5
Lyngby 0 1 0 1 0 3
Midtjylland 3 0 0 0 5 3
Nordsjælland 0 0 1 1 3 0
OB 0 1 0 3 0 1
Randers 1 0 0 0 1 6
Silkeborg 1 0 0 0 6 1
SønderjyskE 1 0 0 0 1 2
  Current Sequences Consecutive matches without...
W D L W D L
AaB 0 2 0 2 0 4
AGF 2 0 0 0 5 2
Brøndby 0 0 2 2 8 0
Copenhagen 1 0 0 0 10 1
Esbjerg 0 0 1 1 4 0
Hobro 0 1 0 7 0 1
Horsens 0 1 0 8 0 1
Lyngby 0 2 0 4 0 2
Midtjylland 6 0 0 0 6 11
Nordsjælland 1 0 0 0 1 3
OB 0 0 3 3 5 0
Randers 0 0 4 4 8 0
Silkeborg 0 0 2 3 2 0
SønderjyskE 0 0 3 3 4 0

The soccer statistics for Superliga are updated regularly, as matches are played and results are processed. The statistical data is presented in a manner that can be used easily to identify trends and probabilities for future football matches, which is what the SoccerStats247 system uses to produce predictions for Superliga. There are daily tips in the Predictions section, where our algorithm point to probable outcomes for different markets, and evolves as more matches and soccer statistics are feed in.

Seasons