# Team Avg. G +0.5 +1.5 +2.5 +3.5 +4.5 +5.5 BTTS GF GA
1. Viborg 3.5 90% 81% 68% 59% 40% 9% 77% 90% 77%
2. Sonderjyske 3.5 100% 95% 68% 50% 31% 4% 68% 72% 95%
3. Nordsjaelland 3.41 100% 86% 68% 50% 31% 4% 77% 90% 86%
4. Brondby 3.36 95% 81% 59% 54% 27% 18% 63% 86% 72%
5. Vejle 3.36 100% 86% 68% 50% 22% 9% 63% 72% 90%
6. FC Midtjylland 3.14 100% 81% 59% 40% 22% 9% 59% 86% 72%
7. Randers 3.05 95% 86% 54% 40% 18% 9% 68% 86% 77%
8. Silkeborg 3.05 100% 77% 54% 50% 18% 4% 72% 86% 86%
9. AGF 2.95 95% 81% 45% 40% 22% 9% 63% 86% 72%
10. Aalborg 2.91 90% 81% 63% 36% 13% 4% 40% 50% 81%
11. FC Copenhagen 2.82 90% 86% 54% 36% 13% 0% 72% 90% 72%
12. Lyngby 1.86 86% 63% 27% 9% 0% 0% 45% 59% 72%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Viborg 22 77% 59% 31% 9% 1.77 54% 54% 31%
2. Sonderjyske 22 86% 59% 22% 9% 1.82 59% 72% 45%
3. Nordsjaelland 22 72% 68% 36% 13% 1.95 63% 59% 50%
4. Brondby 22 77% 45% 13% 4% 1.45 59% 50% 31%
5. Vejle 22 68% 22% 13% 4% 1.09 36% 50% 18%
6. FC Midtjylland 22 86% 36% 27% 4% 1.55 63% 54% 31%
7. Randers 22 68% 40% 18% 4% 1.36 54% 40% 27%
8. Silkeborg 22 72% 45% 22% 0% 1.41 54% 54% 36%
9. AGF 22 77% 45% 27% 9% 1.59 63% 50% 36%
10. Aalborg 22 72% 22% 13% 4% 1.14 27% 54% 9%
11. FC Copenhagen 22 72% 45% 9% 0% 1.27 59% 31% 18%
12. Lyngby 22 59% 18% 0% 0% 0.77 22% 45% 9%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Viborg 22 86% 54% 22% 9% 1.73 50% 59% 22%
2. Sonderjyske 22 81% 59% 18% 9% 1.68 31% 72% 22%
3. Nordsjaelland 22 81% 50% 13% 0% 1.45 50% 50% 18%
4. Brondby 22 72% 54% 36% 18% 1.91 68% 40% 36%
5. Vejle 22 90% 72% 36% 22% 2.27 54% 77% 40%
6. FC Midtjylland 22 81% 45% 22% 9% 1.59 68% 31% 18%
7. Randers 22 81% 50% 18% 9% 1.68 54% 59% 31%
8. Silkeborg 22 86% 54% 13% 9% 1.64 59% 54% 27%
9. AGF 22 81% 45% 9% 0% 1.36 63% 40% 22%
10. Aalborg 22 81% 59% 27% 4% 1.77 40% 68% 27%
11. FC Copenhagen 22 81% 59% 13% 0% 1.55 63% 45% 27%
12. Lyngby 22 54% 40% 13% 0% 1.09 40% 45% 31%
# Team P +0.5 +1.5 +2.5 +3.5 +4.5 +5.5 Avg. G GF GA BTTS
1. Viborg 11 100% 81% 72% 63% 54% 18% 3.91 100% 81% 81%
2. Sonderjyske 11 100% 100% 81% 63% 36% 0% 3.82 81% 100% 81%
3. Nordsjaelland 11 100% 90% 63% 45% 27% 0% 3.27 100% 81% 81%
4. Brondby 11 90% 72% 36% 27% 9% 0% 2.36 81% 63% 54%
5. Vejle 11 100% 90% 72% 54% 27% 0% 3.45 72% 90% 63%
6. FC Midtjylland 11 100% 81% 54% 36% 27% 18% 3.18 100% 54% 54%
7. Randers 11 100% 90% 54% 36% 9% 9% 3 90% 72% 63%
8. Silkeborg 11 100% 63% 45% 45% 27% 9% 2.91 81% 81% 63%
9. AGF 11 100% 90% 54% 45% 18% 18% 3.27 100% 72% 72%
10. Aalborg 11 81% 81% 72% 36% 18% 9% 3 54% 72% 45%
11. FC Copenhagen 11 100% 90% 54% 45% 9% 0% 3 100% 81% 81%
12. Lyngby 11 72% 54% 27% 18% 0% 0% 1.73 45% 54% 27%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Viborg 11 90% 63% 45% 18% 2.18 72% 54% 36%
2. Sonderjyske 11 100% 54% 27% 18% 2.09 72% 72% 45%
3. Nordsjaelland 11 81% 72% 36% 18% 2.18 72% 54% 45%
4. Brondby 11 72% 27% 9% 0% 1.09 54% 45% 27%
5. Vejle 11 54% 18% 9% 0% 0.82 36% 36% 18%
6. FC Midtjylland 11 90% 36% 18% 0% 1.45 81% 36% 27%
7. Randers 11 72% 54% 18% 0% 1.45 63% 45% 36%
8. Silkeborg 11 63% 45% 27% 0% 1.36 45% 45% 27%
9. AGF 11 90% 45% 18% 9% 1.64 81% 45% 36%
10. Aalborg 11 54% 27% 18% 0% 1 27% 36% 9%
11. FC Copenhagen 11 72% 45% 9% 0% 1.27 63% 45% 36%
12. Lyngby 11 45% 18% 0% 0% 0.64 18% 27% 0%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Viborg 11 90% 45% 27% 9% 1.73 45% 72% 27%
2. Sonderjyske 11 81% 63% 18% 9% 1.73 27% 81% 27%
3. Nordsjaelland 11 72% 36% 0% 0% 1.09 54% 36% 18%
4. Brondby 11 72% 36% 18% 0% 1.27 63% 27% 18%
5. Vejle 11 90% 81% 54% 36% 2.64 63% 81% 54%
6. FC Midtjylland 11 81% 54% 27% 9% 1.73 72% 27% 18%
7. Randers 11 81% 36% 9% 9% 1.55 45% 45% 9%
8. Silkeborg 11 90% 45% 9% 9% 1.55 54% 54% 18%
9. AGF 11 81% 63% 18% 0% 1.64 72% 36% 27%
10. Aalborg 11 81% 72% 27% 9% 2 45% 72% 36%
11. FC Copenhagen 11 90% 72% 9% 0% 1.73 90% 45% 45%
12. Lyngby 11 45% 36% 27% 0% 1.09 36% 36% 27%
# Team P +0.5 +1.5 +2.5 +3.5 +4.5 +5.5 Avg. G GF GA BTTS
1. Viborg 11 81% 81% 63% 54% 27% 0% 3.09 81% 72% 72%
2. Sonderjyske 11 100% 90% 54% 36% 27% 9% 3.18 63% 90% 54%
3. Nordsjaelland 11 100% 81% 72% 54% 36% 9% 3.55 81% 90% 72%
4. Brondby 11 100% 90% 81% 81% 45% 36% 4.36 90% 81% 72%
5. Vejle 11 100% 81% 63% 45% 18% 18% 3.27 72% 90% 63%
6. FC Midtjylland 11 100% 81% 63% 45% 18% 0% 3.09 72% 90% 63%
7. Randers 11 90% 81% 54% 45% 27% 9% 3.09 81% 81% 72%
8. Silkeborg 11 100% 90% 63% 54% 9% 0% 3.18 90% 90% 81%
9. AGF 11 90% 72% 36% 36% 27% 0% 2.64 72% 72% 54%
10. Aalborg 11 100% 81% 54% 36% 9% 0% 2.82 45% 90% 36%
11. FC Copenhagen 11 81% 81% 54% 27% 18% 0% 2.64 81% 63% 63%
12. Lyngby 11 100% 72% 27% 0% 0% 0% 2 72% 90% 63%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Viborg 11 63% 54% 18% 0% 1.36 36% 54% 27%
2. Sonderjyske 11 72% 63% 18% 0% 1.55 45% 72% 45%
3. Nordsjaelland 11 63% 63% 36% 9% 1.73 54% 63% 54%
4. Brondby 11 81% 63% 18% 9% 1.82 63% 54% 36%
5. Vejle 11 81% 27% 18% 9% 1.36 36% 63% 18%
6. FC Midtjylland 11 81% 36% 36% 9% 1.64 45% 72% 36%
7. Randers 11 63% 27% 18% 9% 1.27 45% 36% 18%
8. Silkeborg 11 81% 45% 18% 0% 1.45 63% 63% 45%
9. AGF 11 63% 45% 36% 9% 1.55 45% 54% 36%
10. Aalborg 11 90% 18% 9% 9% 1.27 27% 72% 9%
11. FC Copenhagen 11 72% 45% 9% 0% 1.27 54% 18% 0%
12. Lyngby 11 72% 18% 0% 0% 0.91 27% 63% 18%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Viborg 11 81% 63% 18% 9% 1.73 54% 45% 18%
2. Sonderjyske 11 81% 54% 18% 9% 1.64 36% 63% 18%
3. Nordsjaelland 11 90% 63% 27% 0% 1.82 45% 63% 18%
4. Brondby 11 72% 72% 54% 36% 2.55 72% 54% 54%
5. Vejle 11 90% 63% 18% 9% 1.91 45% 72% 27%
6. FC Midtjylland 11 81% 36% 18% 9% 1.45 63% 36% 18%
7. Randers 11 81% 63% 27% 9% 1.82 63% 72% 54%
8. Silkeborg 11 81% 63% 18% 9% 1.73 63% 54% 36%
9. AGF 11 81% 27% 0% 0% 1.09 54% 45% 18%
10. Aalborg 11 81% 45% 27% 0% 1.55 36% 63% 18%
11. FC Copenhagen 11 72% 45% 18% 0% 1.36 36% 45% 9%
12. Lyngby 11 63% 45% 0% 0% 1.09 45% 54% 36%