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Superliga 2024/2025

Superliga is a soccer competition played in Denmark. The 2024/2025 season features 12 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 Silkeborg, Nordsjælland, FC Copenhagen, SønderjyskE. 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 FC Copenhagen 17 9 6 2 32 19 +13 33
1.94 64.71
2 Midtjylland 17 10 3 4 31 22 +9 33
1.94 64.71
3 Randers 17 8 6 3 31 19 +12 30
1.76 58.82
4 AGF 17 7 7 3 30 17 +13 28
1.65 54.90
5 Brøndby 17 7 6 4 31 22 +9 27
1.59 52.94
6 Silkeborg 17 6 8 3 29 23 +6 26
1.53 50.98
7 Nordsjælland 17 7 5 5 30 29 +1 26
1.53 50.98
8 Viborg 17 5 6 6 29 27 +2 21
1.24 41.18
9 AaB 17 4 5 8 18 31 -13 17
1.00 33.33
10 SønderjyskE 17 4 4 9 21 37 -16 16
0.94 31.37
11 Lyngby 17 1 7 9 12 24 -12 10
0.59 19.61
12 Vejle 17 1 3 13 16 40 -24 6
0.35 11.76
   P W D L GF GA Dif Pts
1 FC Copenhagen 9 6 3 0 20 10 10 21
2 Midtjylland 8 7 0 1 16 9 7 21
3 AGF 9 5 4 0 21 9 12 19
4 Nordsjælland 9 5 4 0 18 9 9 19
5 Silkeborg 9 4 4 1 17 13 4 16
6 Brøndby 8 4 3 1 10 5 5 15
7 Randers 8 4 2 2 14 8 6 14
8 Viborg 8 4 2 2 16 13 3 14
9 AaB 8 3 2 3 10 15 -5 11
10 SønderjyskE 8 2 3 3 12 18 -6 9
11 Lyngby 9 1 4 4 6 12 -6 7
12 Vejle 9 1 2 6 9 20 -11 5
   P W D L GF GA Dif Pts
1 Randers 9 4 4 1 17 11 6 16
2 Brøndby 9 3 3 3 21 17 4 12
3 FC Copenhagen 8 3 3 2 12 9 3 12
4 Midtjylland 9 3 3 3 15 13 2 12
5 Silkeborg 8 2 4 2 12 10 2 10
6 AGF 8 2 3 3 9 8 1 9
7 Viborg 9 1 4 4 13 14 -1 7
8 Nordsjælland 8 2 1 5 12 20 -8 7
9 SønderjyskE 9 2 1 6 9 19 -10 7
10 AaB 9 1 3 5 8 16 -8 6
11 Lyngby 8 0 3 5 6 12 -6 3
12 Vejle 8 0 1 7 7 20 -13 1

📈 Trends

⚽ Matches

 Round 17 
Monday02/12/2024FC Copenhagen
3 - 1
Nordsjælland
Sunday01/12/2024Silkeborg
1 - 1
AGF
Sunday01/12/2024Vejle
0 - 3
Midtjylland
Sunday01/12/2024Lyngby
0 - 2
SønderjyskE
Sunday01/12/2024Viborg
1 - 2
Randers
Friday29/11/2024Brøndby
1 - 0
AaB

Players

PlayerTeam
Norway S. Nordli Randers 11 3 5 0.65
Denmark M. Kvistgaarden Brøndby 10 0 5 0.67
Denmark P. Mortensen AGF 9 3 3 0.53
Denmark T. Adamsen Silkeborg 9 3 2 0.53
North Macedonia L. Qamili SønderjyskE 7 1 4 0.50
Norway M. Elyounoussi FC Copenhagen 7 0 1 0.41
Denmark M. Jørgensen AaB 7 1 3 0.41
Sweden B. Nygren Nordsjælland 6 0 1 0.43
Denmark T. Bech AGF 6 0 4 0.35
Japan Y. Suzuki Brøndby 6 0 2 0.35
Poland A. Buksa Midtjylland 5 1 2 0.50
Guinea-Bissau Franculino Djú Midtjylland 5 0 1 0.38
Denmark I. Jensen Viborg 5 1 1 0.29
Denmark M. Ingvartsen Nordsjælland 5 1 2 0.29
Denmark M. Madsen AGF 5 0 1 0.29
PlayerTeam Pts
Denmark M. Westergaard Viborg 5 1 0 7
Senegal O. Diao Midtjylland 5 1 0 7
Denmark J. Grønning Viborg 6 0 0 6
Denmark P. Ankersen Nordsjælland 6 0 0 6
Germany B. Pudel AaB 5 0 0 5
Denmark C. Bischoff Brøndby 2 0 1 5
Denmark C. Winther Lyngby 5 0 0 5
Sweden F. Beijmo AGF 3 1 0 5
Suriname J. Lonwijk Viborg 5 0 0 5
Denmark K. Davidsen AaB 5 0 0 5
Russia L. Klassen Lyngby 3 1 0 5
Netherlands M. Jiménez AaB 5 0 0 5
Denmark R. Lauritsen Brøndby 2 0 1 5
Denmark T. Delaney FC Copenhagen 5 0 0 5
USA A. Jasson AaB 4 0 0 4
      
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 17 2.88 94.12% 82.35% 58.82% 35.29% 11.76%
AGF 17 2.76 94.12% 76.47% 41.18% 35.29% 17.65%
Brøndby 17 3.12 94.12% 76.47% 52.94% 47.06% 23.53%
FC Copenhagen 17 3.00 88.24% 88.24% 52.94% 41.18% 11.76%
Lyngby 17 2.12 88.24% 76.47% 35.29% 11.76% 0.00%
Midtjylland 17 3.12 94.12% 82.35% 52.94% 41.18% 17.65%
Nordsjælland 17 3.47 100.00% 88.24% 64.71% 52.94% 35.29%
Randers 17 2.94 100.00% 88.24% 52.94% 41.18% 11.76%
Silkeborg 17 3.06 100.00% 82.35% 52.94% 47.06% 17.65%
SønderjyskE 17 3.41 100.00% 94.12% 64.71% 47.06% 29.41%
Vejle 17 3.29 100.00% 88.24% 64.71% 41.18% 23.53%
Viborg 17 3.29 88.24% 76.47% 64.71% 52.94% 35.29%
League Avg.    95.10% 83.33% 54.90% 41.18% 19.61%
Matches of...Played Total match goals (team goals + opponent goals)
Avg. over 0.5over 1.5over 2.5over 3.5over 4.5
AaB 8 3.12 87.50% 87.50% 75.00% 37.50% 12.50%
AGF 9 3.33 100.00% 88.89% 55.56% 44.44% 22.22%
Brøndby 8 1.88 87.50% 62.50% 25.00% 12.50% 0.00%
FC Copenhagen 9 3.33 100.00% 100.00% 66.67% 55.56% 11.11%
Lyngby 9 2.00 77.78% 66.67% 33.33% 22.22% 0.00%
Midtjylland 8 3.12 87.50% 75.00% 37.50% 37.50% 25.00%
Nordsjælland 9 3.00 100.00% 88.89% 55.56% 33.33% 22.22%
Randers 8 2.75 100.00% 87.50% 50.00% 37.50% 0.00%
Silkeborg 9 3.33 100.00% 77.78% 55.56% 55.56% 33.33%
SønderjyskE 8 3.75 100.00% 100.00% 75.00% 62.50% 37.50%
Vejle 9 3.22 100.00% 88.89% 66.67% 44.44% 22.22%
Viborg 8 3.62 100.00% 75.00% 62.50% 50.00% 50.00%
League Avg.    95.02% 83.22% 54.86% 41.09% 19.68%
Matches of...Played Total match goals (team goals + opponent goals)
Avg. over 0.5over 1.5over 2.5over 3.5over 4.5
AaB 9 2.67 100.00% 77.78% 44.44% 33.33% 11.11%
AGF 8 2.12 87.50% 62.50% 25.00% 25.00% 12.50%
Brøndby 9 4.22 100.00% 88.89% 77.78% 77.78% 44.44%
FC Copenhagen 8 2.62 75.00% 75.00% 37.50% 25.00% 12.50%
Lyngby 8 2.25 100.00% 87.50% 37.50% 0.00% 0.00%
Midtjylland 9 3.11 100.00% 88.89% 66.67% 44.44% 11.11%
Nordsjælland 8 4.00 100.00% 87.50% 75.00% 75.00% 50.00%
Randers 9 3.11 100.00% 88.89% 55.56% 44.44% 22.22%
Silkeborg 8 2.75 100.00% 87.50% 50.00% 37.50% 0.00%
SønderjyskE 9 3.11 100.00% 88.89% 55.56% 33.33% 22.22%
Vejle 8 3.38 100.00% 87.50% 62.50% 37.50% 25.00%
Viborg 9 3.00 77.78% 77.78% 66.67% 55.56% 22.22%
League Avg.    95.02% 83.22% 54.52% 40.74% 19.44%

Clean Sheets / Fail to Score

Clean Sheets
  CS Pld Perc.
Brøndby 6 17 35.29%
AGF 5 17 29.41%
Midtjylland 5 17 29.41%
Viborg 5 17 29.41%
FC Copenhagen 4 17 23.53%
Randers 4 17 23.53%
Lyngby 3 17 17.65%
Nordsjælland 3 17 17.65%
Silkeborg 3 17 17.65%
AaB 2 17 11.76%
SønderjyskE 1 17 5.88%
Vejle 1 17 5.88%
Failed to score
  FS Pld Perc.
FC Copenhagen 1 17 5.88%
Nordsjælland 1 17 5.88%
Silkeborg 1 17 5.88%
Midtjylland 2 17 11.76%
Randers 2 17 11.76%
Viborg 2 17 11.76%
AGF 3 17 17.65%
Brøndby 3 17 17.65%
SønderjyskE 5 17 29.41%
Vejle 6 17 35.29%
Lyngby 7 17 41.18%
AaB 9 17 52.94%

Score Average

  Avg. goals overall Avg. goals home Avg. goals away Pld
Scored Conc.TotalScoredConc.TotalScoredConc.Total
AaB 1.06 1.82 2.88 1.25 1.88 3.13 0.89 1.78 2.67 17
AGF 1.76 1.00 2.76 2.33 1.00 3.33 1.13 1.00 2.13 17
Brøndby 1.82 1.29 3.11 1.25 0.63 1.88 2.33 1.89 4.22 17
FC Copenhagen 1.88 1.12 3.00 2.22 1.11 3.33 1.50 1.13 2.63 17
Lyngby 0.71 1.41 2.12 0.67 1.33 2.00 0.75 1.50 2.25 17
Midtjylland 1.82 1.29 3.11 2.00 1.13 3.13 1.67 1.44 3.11 17
Nordsjælland 1.76 1.71 3.47 2.00 1.00 3.00 1.50 2.50 4.00 17
Randers 1.82 1.12 2.94 1.75 1.00 2.75 1.89 1.22 3.11 17
Silkeborg 1.71 1.35 3.06 1.89 1.44 3.33 1.50 1.25 2.75 17
SønderjyskE 1.24 2.18 3.42 1.50 2.25 3.75 1.00 2.11 3.11 17
Vejle 0.94 2.35 3.29 1.00 2.22 3.22 0.88 2.50 3.38 17
Viborg 1.71 1.59 3.30 2.00 1.63 3.63 1.44 1.56 3.00 17

Form – Scoring Sequences

  Current Sequences Consecutive matches without...
W D L W D L
AaB 0 0 1 7 1 0
AGF 0 1 0 3 0 1
Brøndby 1 0 0 0 1 5
FC Copenhagen 2 0 0 0 2 9
Lyngby 0 0 2 10 2 0
Midtjylland 2 0 0 0 8 2
Nordsjælland 0 0 1 1 2 0
Randers 2 0 0 0 6 2
Silkeborg 0 1 0 2 0 1
SønderjyskE 1 0 0 0 1 3
Vejle 0 0 2 4 2 0
Viborg 0 0 1 2 1 0
  Current Sequences Consecutive matches without...
W D L W D L
AaB 0 2 0 3 0 2
AGF 0 1 0 1 0 10
Brøndby 1 0 0 0 1 6
FC Copenhagen 2 0 0 0 2 9
Lyngby 0 0 1 5 1 0
Midtjylland 1 0 0 0 8 1
Nordsjælland 2 0 0 0 2 9
Randers 2 0 0 0 2 5
Silkeborg 0 1 0 1 0 5
SønderjyskE 0 1 0 2 0 1
Vejle 0 0 1 2 1 0
Viborg 0 0 1 1 3 0
  Current Sequences Consecutive matches without...
W D L W D L
AaB 0 0 1 6 1 0
AGF 0 1 0 5 0 1
Brøndby 0 1 0 1 0 2
FC Copenhagen 0 3 0 3 0 4
Lyngby 0 0 3 8 3 0
Midtjylland 1 0 0 0 4 1
Nordsjælland 0 0 1 3 1 0
Randers 1 0 0 0 4 1
Silkeborg 0 0 1 6 1 0
SønderjyskE 1 0 0 0 1 2
Vejle 0 0 1 8 1 0
Viborg 0 1 0 4 0 1

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