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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 Hobro, AaB, OB, Horsens. 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 16 13 2 1 25 7 +18 41
2.56 85.42
2 Copenhagen 16 11 1 4 30 19 +11 34
2.12 70.83
3 Brøndby 16 10 1 5 33 22 +11 31
1.94 64.58
4 AGF 16 8 2 6 26 18 +8 26
1.62 54.17
5 OB 16 8 2 6 26 18 +8 26
1.62 54.17
6 Randers 16 7 3 6 28 23 +5 24
1.50 50.00
7 AaB 16 7 2 7 25 20 +5 23
1.44 47.92
8 Lyngby 16 7 1 8 21 29 -8 22
1.38 45.83
9 Nordsjælland 16 6 3 7 27 27 +0 21
1.31 43.75
10 SønderjyskE 16 4 6 6 19 26 -7 18
1.12 37.50
11 Horsens 16 5 3 8 14 26 -12 18
1.12 37.50
12 Hobro 16 2 8 6 17 23 -6 14
0.88 29.17
13 Esbjerg 16 2 4 10 13 27 -14 10
0.62 20.83
14 Silkeborg 16 1 4 11 21 40 -19 7
0.44 14.58
   P W D L GF GA Dif Pts
1 Brøndby 9 7 0 2 23 14 9 21
2 Copenhagen 7 6 1 0 17 5 12 19
3 Midtjylland 8 6 1 1 12 5 7 19
4 Lyngby 9 6 0 3 14 15 -1 18
5 Randers 8 5 2 1 16 9 7 17
6 OB 8 5 1 2 16 8 8 16
7 AGF 8 5 0 3 17 10 7 15
8 Nordsjælland 7 4 2 1 11 6 5 14
9 AaB 7 4 1 2 10 6 4 13
10 Horsens 8 3 1 4 6 15 -9 10
11 Hobro 9 1 6 2 9 12 -3 9
12 Esbjerg 9 2 3 4 10 13 -3 9
13 SønderjyskE 8 2 2 4 7 13 -6 8
14 Silkeborg 7 0 1 6 8 18 -10 1
   P W D L GF GA Dif Pts
1 Midtjylland 8 7 1 0 13 2 11 22
2 Copenhagen 9 5 0 4 13 14 -1 15
3 AGF 8 3 2 3 9 8 1 11
4 Brøndby 7 3 1 3 10 8 2 10
5 AaB 9 3 1 5 15 14 1 10
6 OB 8 3 1 4 10 10 0 10
7 SønderjyskE 8 2 4 2 12 13 -1 10
8 Horsens 8 2 2 4 8 11 -3 8
9 Randers 8 2 1 5 12 14 -2 7
10 Nordsjælland 9 2 1 6 16 21 -5 7
11 Silkeborg 9 1 3 5 13 22 -9 6
12 Hobro 7 1 2 4 8 11 -3 5
13 Lyngby 7 1 1 5 7 14 -7 4
14 Esbjerg 7 0 1 6 3 14 -11 1

📈 Trends

⚽ Matches

 Round 16 
Sunday10/11/2019Midtjylland
4 - 1
Copenhagen
Sunday10/11/2019Brøndby
2 - 1
Esbjerg
Sunday10/11/2019AGF
4 - 2
SønderjyskE
Sunday10/11/2019Lyngby
4 - 3
OB
Sunday10/11/2019Hobro
2 - 2
Nordsjælland
Saturday09/11/2019Horsens
2 - 1
Silkeborg
Friday08/11/2019Randers
3 - 3
AaB

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 16 2.81 100.00% 75.00% 56.25% 31.25% 12.50%
AGF 16 2.75 93.75% 75.00% 56.25% 18.75% 12.50%
Brøndby 16 3.44 100.00% 87.50% 81.25% 37.50% 18.75%
Copenhagen 16 3.06 93.75% 81.25% 68.75% 37.50% 18.75%
Esbjerg 16 2.50 100.00% 75.00% 50.00% 25.00% 0.00%
Hobro 16 2.50 93.75% 87.50% 43.75% 18.75% 6.25%
Horsens 16 2.50 93.75% 87.50% 56.25% 6.25% 6.25%
Lyngby 16 3.12 100.00% 93.75% 68.75% 18.75% 18.75%
Midtjylland 16 2.00 93.75% 56.25% 37.50% 6.25% 6.25%
Nordsjælland 16 3.38 100.00% 93.75% 75.00% 50.00% 12.50%
OB 16 2.75 87.50% 62.50% 56.25% 31.25% 25.00%
Randers 16 3.19 100.00% 87.50% 68.75% 31.25% 12.50%
Silkeborg 16 3.81 100.00% 93.75% 81.25% 50.00% 31.25%
SønderjyskE 16 2.81 81.25% 81.25% 62.50% 25.00% 18.75%
League Avg.    95.54% 81.25% 61.61% 27.68% 14.29%
Matches of...Played Total match goals (team goals + opponent goals)
Avg. over 0.5over 1.5over 2.5over 3.5over 4.5
AaB 7 2.29 100.00% 57.14% 42.86% 28.57% 0.00%
AGF 8 3.38 100.00% 75.00% 62.50% 37.50% 25.00%
Brøndby 9 4.11 100.00% 100.00% 100.00% 44.44% 33.33%
Copenhagen 7 3.14 85.71% 85.71% 71.43% 42.86% 14.29%
Esbjerg 9 2.56 100.00% 77.78% 55.56% 22.22% 0.00%
Hobro 9 2.33 88.89% 88.89% 33.33% 22.22% 0.00%
Horsens 8 2.62 100.00% 87.50% 50.00% 12.50% 12.50%
Lyngby 9 3.22 100.00% 100.00% 77.78% 11.11% 11.11%
Midtjylland 8 2.12 100.00% 50.00% 37.50% 12.50% 12.50%
Nordsjælland 7 2.43 100.00% 85.71% 42.86% 14.29% 0.00%
OB 8 3.00 87.50% 75.00% 75.00% 37.50% 25.00%
Randers 8 3.12 100.00% 87.50% 62.50% 37.50% 12.50%
Silkeborg 7 3.71 100.00% 85.71% 85.71% 42.86% 42.86%
SønderjyskE 8 2.50 75.00% 75.00% 62.50% 25.00% 12.50%
League Avg.    95.51% 80.78% 61.40% 27.93% 14.40%
Matches of...Played Total match goals (team goals + opponent goals)
Avg. over 0.5over 1.5over 2.5over 3.5over 4.5
AaB 9 3.22 100.00% 88.89% 66.67% 33.33% 22.22%
AGF 8 2.12 87.50% 75.00% 50.00% 0.00% 0.00%
Brøndby 7 2.57 100.00% 71.43% 57.14% 28.57% 0.00%
Copenhagen 9 3.00 100.00% 77.78% 66.67% 33.33% 22.22%
Esbjerg 7 2.43 100.00% 71.43% 42.86% 28.57% 0.00%
Hobro 7 2.71 100.00% 85.71% 57.14% 14.29% 14.29%
Horsens 8 2.38 87.50% 87.50% 62.50% 0.00% 0.00%
Lyngby 7 3.00 100.00% 85.71% 57.14% 28.57% 28.57%
Midtjylland 8 1.88 87.50% 62.50% 37.50% 0.00% 0.00%
Nordsjælland 9 4.11 100.00% 100.00% 100.00% 77.78% 22.22%
OB 8 2.50 87.50% 50.00% 37.50% 25.00% 25.00%
Randers 8 3.25 100.00% 87.50% 75.00% 25.00% 12.50%
Silkeborg 9 3.89 100.00% 100.00% 77.78% 55.56% 22.22%
SønderjyskE 8 3.12 87.50% 87.50% 62.50% 25.00% 25.00%
League Avg.    95.54% 80.78% 60.74% 26.79% 13.87%

Clean Sheets / Fail to Score

Clean Sheets
  CS Pld Perc.
Midtjylland 9 16 56.25%
OB 7 16 43.75%
AGF 6 16 37.50%
AaB 5 16 31.25%
Copenhagen 5 16 31.25%
Brøndby 4 16 25.00%
Randers 4 16 25.00%
SønderjyskE 4 16 25.00%
Horsens 3 16 18.75%
Nordsjælland 3 16 18.75%
Lyngby 2 16 12.50%
Esbjerg 1 16 6.25%
Hobro 1 16 6.25%
Silkeborg 0 16 0.00%
Failed to score
  FS Pld Perc.
Nordsjælland 1 16 6.25%
Brøndby 2 16 12.50%
Copenhagen 2 16 12.50%
Midtjylland 2 16 12.50%
AGF 3 16 18.75%
Randers 3 16 18.75%
Hobro 4 16 25.00%
OB 4 16 25.00%
AaB 5 16 31.25%
Lyngby 5 16 31.25%
Silkeborg 5 16 31.25%
SønderjyskE 5 16 31.25%
Esbjerg 6 16 37.50%
Horsens 7 16 43.75%

Score Average

  Avg. goals overall Avg. goals home Avg. goals away Pld
Scored Conc.TotalScoredConc.TotalScoredConc.Total
AaB 1.56 1.25 2.81 1.43 0.86 2.29 1.67 1.56 3.23 16
AGF 1.63 1.13 2.76 2.13 1.25 3.38 1.13 1.00 2.13 16
Brøndby 2.06 1.38 3.44 2.56 1.56 4.12 1.43 1.14 2.57 16
Copenhagen 1.88 1.19 3.07 2.43 0.71 3.14 1.44 1.56 3.00 16
Esbjerg 0.81 1.69 2.50 1.11 1.44 2.55 0.43 2.00 2.43 16
Hobro 1.06 1.44 2.50 1.00 1.33 2.33 1.14 1.57 2.71 16
Horsens 0.88 1.63 2.51 0.75 1.88 2.63 1.00 1.38 2.38 16
Lyngby 1.31 1.81 3.12 1.56 1.67 3.23 1.00 2.00 3.00 16
Midtjylland 1.56 0.44 2.00 1.50 0.63 2.13 1.63 0.25 1.88 16
Nordsjælland 1.69 1.69 3.38 1.57 0.86 2.43 1.78 2.33 4.11 16
OB 1.63 1.13 2.76 2.00 1.00 3.00 1.25 1.25 2.50 16
Randers 1.75 1.44 3.19 2.00 1.13 3.13 1.50 1.75 3.25 16
Silkeborg 1.31 2.50 3.81 1.14 2.57 3.71 1.44 2.44 3.88 16
SønderjyskE 1.19 1.63 2.82 0.88 1.63 2.51 1.50 1.63 3.13 16

Form – Scoring Sequences

  Current Sequences Consecutive matches without...
W D L W D L
AaB 0 1 0 2 0 1
AGF 2 0 0 0 11 2
Brøndby 5 0 0 0 14 5
Copenhagen 0 0 1 1 6 0
Esbjerg 0 0 1 6 1 0
Hobro 0 1 0 7 0 1
Horsens 1 0 0 0 1 2
Lyngby 1 0 0 0 4 1
Midtjylland 5 0 0 0 6 5
Nordsjælland 0 1 0 3 0 1
OB 0 0 1 1 8 0
Randers 0 1 0 1 0 2
Silkeborg 0 0 2 3 2 0
SønderjyskE 0 0 4 4 6 0
  Current Sequences Consecutive matches without...
W D L W D L
AaB 0 0 1 1 6 0
AGF 1 0 0 0 8 1
Brøndby 4 0 0 0 9 4
Copenhagen 3 0 0 0 3 7
Esbjerg 0 1 0 3 0 1
Hobro 0 2 0 4 0 2
Horsens 2 0 0 0 2 4
Lyngby 2 0 0 0 9 2
Midtjylland 2 0 0 0 4 2
Nordsjælland 0 0 1 2 1 0
OB 3 0 0 0 4 3
Randers 0 1 0 1 0 5
Silkeborg 0 0 4 7 4 0
SønderjyskE 0 0 2 2 3 0
  Current Sequences Consecutive matches without...
W D L W D L
AaB 0 1 0 1 0 3
AGF 1 0 0 0 4 1
Brøndby 2 0 0 0 6 2
Copenhagen 0 0 1 1 9 0
Esbjerg 0 0 2 7 2 0
Hobro 0 0 4 5 4 0
Horsens 0 1 0 6 0 1
Lyngby 0 0 1 2 1 0
Midtjylland 3 0 0 0 3 8
Nordsjælland 0 1 0 2 0 1
OB 0 0 2 2 4 0
Randers 0 0 2 2 6 0
Silkeborg 0 0 1 2 1 0
SønderjyskE 0 0 2 2 3 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