# Team Avg. G +0.5 +1.5 +2.5 +3.5 +4.5 +5.5 BTTS GF GA
1. FC Midtjylland 3.56 93% 87% 56% 43% 31% 31% 62% 87% 68%
2. Silkeborg 3.31 100% 93% 56% 37% 25% 18% 62% 62% 100%
3. FC Copenhagen 3.25 93% 87% 56% 43% 31% 12% 68% 87% 75%
4. Nordsjaelland 3.13 100% 68% 62% 37% 31% 12% 43% 75% 68%
5. Viborg 3.13 93% 81% 68% 31% 25% 6% 62% 81% 75%
6. AGF 3.06 93% 75% 56% 37% 31% 12% 68% 93% 68%
7. Sonderjyske 3.06 93% 81% 56% 31% 25% 6% 62% 81% 75%
8. Vejle 3.06 100% 93% 56% 25% 12% 12% 62% 75% 87%
9. Brondby 2.81 100% 81% 43% 25% 18% 12% 37% 75% 62%
10. Randers 2.38 87% 62% 43% 18% 18% 6% 43% 62% 68%
11. Aalborg 0 0% 0% 0% 0% 0% 0% 0% 0% 0%
12. Lyngby 0 0% 0% 0% 0% 0% 0% 0% 0% 0%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. FC Midtjylland 16 62% 43% 25% 18% 1.5 50% 43% 31%
2. Silkeborg 16 93% 62% 37% 6% 2 62% 75% 43%
3. FC Copenhagen 16 75% 31% 18% 6% 1.31 43% 43% 12%
4. Nordsjaelland 16 75% 37% 12% 6% 1.31 56% 37% 18%
5. Viborg 16 81% 50% 31% 18% 1.88 68% 62% 50%
6. AGF 16 81% 31% 25% 0% 1.38 75% 31% 25%
7. Sonderjyske 16 68% 43% 18% 6% 1.38 43% 62% 37%
8. Vejle 16 75% 62% 31% 12% 1.88 43% 68% 37%
9. Brondby 16 75% 37% 18% 6% 1.38 62% 25% 12%
10. Randers 16 56% 31% 25% 18% 1.38 25% 50% 18%
11. Aalborg 0 0% 0% 0% 0% 0 0% 0% 0%
12. Lyngby 0 0% 0% 0% 0% 0 0% 0% 0%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. FC Midtjylland 16 87% 68% 31% 18% 2.06 75% 56% 43%
2. Silkeborg 16 75% 31% 18% 6% 1.31 31% 62% 18%
3. FC Copenhagen 16 87% 56% 31% 18% 1.94 81% 56% 50%
4. Nordsjaelland 16 68% 50% 43% 12% 1.81 50% 50% 31%
5. Viborg 16 68% 37% 18% 0% 1.25 50% 37% 18%
6. AGF 16 75% 43% 31% 12% 1.69 50% 50% 25%
7. Sonderjyske 16 87% 43% 18% 12% 1.69 75% 37% 25%
8. Vejle 16 75% 43% 0% 0% 1.19 50% 50% 25%
9. Brondby 16 62% 50% 12% 12% 1.44 43% 43% 25%
10. Randers 16 50% 37% 12% 0% 1 37% 31% 18%
11. Aalborg 0 0% 0% 0% 0% 0 0% 0% 0%
12. Lyngby 0 0% 0% 0% 0% 0 0% 0% 0%
# Team P +0.5 +1.5 +2.5 +3.5 +4.5 +5.5 Avg. G GF GA BTTS
1. FC Midtjylland 8 100% 100% 75% 62% 62% 62% 4.88 100% 87% 87%
2. Silkeborg 8 100% 100% 37% 25% 12% 12% 2.88 50% 100% 50%
3. FC Copenhagen 8 87% 75% 37% 37% 37% 12% 2.88 87% 62% 62%
4. Nordsjaelland 8 100% 50% 50% 37% 25% 12% 2.75 87% 50% 37%
5. Viborg 8 100% 87% 87% 50% 50% 12% 4 100% 87% 87%
6. AGF 8 87% 50% 50% 37% 25% 0% 2.5 87% 50% 50%
7. Sonderjyske 8 100% 87% 62% 12% 12% 0% 2.75 87% 75% 62%
8. Vejle 8 100% 100% 62% 25% 0% 0% 2.88 75% 75% 50%
9. Brondby 8 100% 100% 75% 37% 25% 25% 3.63 87% 75% 62%
10. Randers 8 75% 62% 37% 12% 12% 12% 2.13 50% 50% 25%
11. Aalborg 0 0% 0% 0% 0% 0% 0% 0 0% 0% 0%
12. Lyngby 0 0% 0% 0% 0% 0% 0% 0 0% 0% 0%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. FC Midtjylland 8 75% 62% 50% 37% 2.25 62% 62% 50%
2. Silkeborg 8 87% 62% 25% 0% 1.75 50% 62% 25%
3. FC Copenhagen 8 75% 25% 12% 0% 1.13 37% 50% 12%
4. Nordsjaelland 8 75% 12% 0% 0% 0.88 62% 12% 0%
5. Viborg 8 100% 75% 50% 37% 2.75 100% 75% 75%
6. AGF 8 75% 37% 25% 0% 1.38 75% 25% 25%
7. Sonderjyske 8 75% 50% 0% 0% 1.25 50% 62% 37%
8. Vejle 8 62% 62% 25% 0% 1.5 50% 50% 37%
9. Brondby 8 87% 37% 25% 12% 1.63 75% 37% 25%
10. Randers 8 50% 37% 25% 12% 1.25 25% 37% 12%
11. Aalborg 0 0% 0% 0% 0% 0 0% 0% 0%
12. Lyngby 0 0% 0% 0% 0% 0 0% 0% 0%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. FC Midtjylland 8 100% 87% 50% 25% 2.63 100% 75% 75%
2. Silkeborg 8 75% 25% 12% 0% 1.13 25% 62% 12%
3. FC Copenhagen 8 75% 37% 37% 25% 1.75 75% 37% 37%
4. Nordsjaelland 8 50% 50% 50% 25% 1.88 50% 37% 37%
5. Viborg 8 75% 37% 12% 0% 1.25 50% 50% 25%
6. AGF 8 62% 37% 12% 0% 1.13 37% 37% 12%
7. Sonderjyske 8 100% 37% 12% 0% 1.5 87% 37% 25%
8. Vejle 8 87% 50% 0% 0% 1.38 50% 50% 12%
9. Brondby 8 75% 62% 25% 25% 2 62% 50% 37%
10. Randers 8 37% 37% 12% 0% 0.88 25% 25% 12%
11. Aalborg 0 0% 0% 0% 0% 0 0% 0% 0%
12. Lyngby 0 0% 0% 0% 0% 0 0% 0% 0%
# Team P +0.5 +1.5 +2.5 +3.5 +4.5 +5.5 Avg. G GF GA BTTS
1. FC Midtjylland 8 87% 75% 37% 25% 0% 0% 2.25 75% 50% 37%
2. Silkeborg 8 100% 87% 75% 50% 37% 25% 3.75 75% 100% 75%
3. FC Copenhagen 8 100% 100% 75% 50% 25% 12% 3.63 87% 87% 75%
4. Nordsjaelland 8 100% 87% 75% 37% 37% 12% 3.5 62% 87% 50%
5. Viborg 8 87% 75% 50% 12% 0% 0% 2.25 62% 62% 37%
6. AGF 8 100% 100% 62% 37% 37% 25% 3.63 100% 87% 87%
7. Sonderjyske 8 87% 75% 50% 50% 37% 12% 3.38 75% 75% 62%
8. Vejle 8 100% 87% 50% 25% 25% 25% 3.25 75% 100% 75%
9. Brondby 8 100% 62% 12% 12% 12% 0% 2 62% 50% 12%
10. Randers 8 100% 62% 50% 25% 25% 0% 2.63 75% 87% 62%
11. Aalborg 0 0% 0% 0% 0% 0% 0% 0 0% 0% 0%
12. Lyngby 0 0% 0% 0% 0% 0% 0% 0 0% 0% 0%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. FC Midtjylland 8 50% 25% 0% 0% 0.75 37% 25% 12%
2. Silkeborg 8 100% 62% 50% 12% 2.25 75% 87% 62%
3. FC Copenhagen 8 75% 37% 25% 12% 1.5 50% 37% 12%
4. Nordsjaelland 8 75% 62% 25% 12% 1.75 50% 62% 37%
5. Viborg 8 62% 25% 12% 0% 1 37% 50% 25%
6. AGF 8 87% 25% 25% 0% 1.38 75% 37% 25%
7. Sonderjyske 8 62% 37% 37% 12% 1.5 37% 62% 37%
8. Vejle 8 87% 62% 37% 25% 2.25 37% 87% 37%
9. Brondby 8 62% 37% 12% 0% 1.13 50% 12% 0%
10. Randers 8 62% 25% 25% 25% 1.5 25% 62% 25%
11. Aalborg 0 0% 0% 0% 0% 0 0% 0% 0%
12. Lyngby 0 0% 0% 0% 0% 0 0% 0% 0%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. FC Midtjylland 8 75% 50% 12% 12% 1.5 50% 37% 12%
2. Silkeborg 8 75% 37% 25% 12% 1.5 37% 62% 25%
3. FC Copenhagen 8 100% 75% 25% 12% 2.13 87% 75% 62%
4. Nordsjaelland 8 87% 50% 37% 0% 1.75 50% 62% 25%
5. Viborg 8 62% 37% 25% 0% 1.25 50% 25% 12%
6. AGF 8 87% 50% 50% 25% 2.25 62% 62% 37%
7. Sonderjyske 8 75% 50% 25% 25% 1.88 62% 37% 25%
8. Vejle 8 62% 37% 0% 0% 1 50% 50% 37%
9. Brondby 8 50% 37% 0% 0% 0.88 25% 37% 12%
10. Randers 8 62% 37% 12% 0% 1.13 50% 37% 25%
11. Aalborg 0 0% 0% 0% 0% 0 0% 0% 0%
12. Lyngby 0 0% 0% 0% 0% 0 0% 0% 0%