# Team Avg. G +0.5 +1.5 +2.5 +3.5 +4.5 +5.5 BTTS GF GA
1. Odense BK 3.82 94% 94% 76% 52% 41% 23% 82% 88% 88%
2. FC Midtjylland 3.71 94% 88% 58% 47% 35% 35% 58% 88% 64%
3. FC Fredericia 3.63 100% 93% 68% 50% 43% 6% 50% 62% 87%
4. Nordsjaelland 3.29 100% 70% 64% 41% 35% 17% 41% 70% 70%
5. FC Copenhagen 3.18 94% 88% 52% 41% 29% 11% 64% 82% 76%
6. Viborg 3.18 94% 82% 70% 35% 23% 5% 64% 82% 76%
7. Silkeborg 3.12 94% 88% 52% 35% 23% 17% 58% 58% 94%
8. Sonderjyske 3.12 94% 82% 58% 35% 23% 5% 64% 82% 76%
9. Vejle 3.06 100% 94% 58% 23% 11% 11% 58% 70% 88%
10. AGF 3 94% 76% 52% 35% 29% 11% 64% 94% 64%
11. Brondby 2.81 100% 81% 43% 25% 18% 12% 37% 75% 62%
12. Randers 2.24 82% 58% 41% 17% 17% 5% 41% 58% 64%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Odense BK 17 94% 47% 29% 17% 1.94 64% 58% 29%
2. FC Midtjylland 17 64% 47% 29% 23% 1.65 52% 41% 29%
3. FC Fredericia 16 75% 50% 12% 6% 1.44 31% 62% 18%
4. Nordsjaelland 17 76% 41% 17% 11% 1.47 52% 41% 17%
5. FC Copenhagen 17 76% 29% 17% 5% 1.29 41% 47% 11%
6. Viborg 17 82% 47% 29% 17% 1.82 64% 64% 47%
7. Silkeborg 17 88% 58% 35% 5% 1.88 58% 70% 41%
8. Sonderjyske 17 70% 41% 17% 5% 1.35 47% 58% 35%
9. Vejle 17 76% 64% 29% 11% 1.88 41% 70% 35%
10. AGF 17 82% 29% 23% 0% 1.35 76% 29% 23%
11. Brondby 16 75% 37% 18% 6% 1.38 62% 25% 12%
12. Randers 17 52% 29% 23% 17% 1.29 23% 47% 17%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Odense BK 17 88% 58% 23% 11% 1.88 47% 70% 29%
2. FC Midtjylland 17 88% 70% 29% 17% 2.06 76% 52% 41%
3. FC Fredericia 16 87% 62% 43% 18% 2.19 43% 81% 37%
4. Nordsjaelland 17 70% 52% 41% 11% 1.82 47% 52% 29%
5. FC Copenhagen 17 88% 52% 29% 17% 1.88 76% 58% 47%
6. Viborg 17 70% 41% 23% 0% 1.35 52% 41% 23%
7. Silkeborg 17 70% 29% 17% 5% 1.24 29% 58% 17%
8. Sonderjyske 17 88% 47% 23% 11% 1.76 76% 41% 29%
9. Vejle 17 76% 41% 0% 0% 1.18 47% 52% 23%
10. AGF 17 76% 41% 29% 11% 1.65 52% 47% 23%
11. Brondby 16 62% 50% 12% 12% 1.44 43% 43% 25%
12. Randers 17 47% 35% 11% 0% 0.94 35% 29% 17%
# Team P +0.5 +1.5 +2.5 +3.5 +4.5 +5.5 Avg. G GF GA BTTS
1. Odense BK 9 100% 100% 77% 55% 44% 11% 3.89 100% 88% 88%
2. FC Midtjylland 9 100% 100% 77% 66% 66% 66% 5 100% 77% 77%
3. FC Fredericia 8 100% 87% 50% 37% 25% 0% 3 50% 87% 37%
4. Nordsjaelland 8 100% 50% 50% 37% 25% 12% 2.75 87% 50% 37%
5. FC Copenhagen 8 87% 75% 37% 37% 37% 12% 2.88 87% 62% 62%
6. Viborg 8 100% 87% 87% 50% 50% 12% 4 100% 87% 87%
7. Silkeborg 9 88% 88% 33% 22% 11% 11% 2.56 44% 88% 44%
8. Sonderjyske 9 100% 88% 66% 22% 11% 0% 2.89 88% 77% 66%
9. Vejle 8 100% 100% 62% 25% 0% 0% 2.88 75% 75% 50%
10. AGF 9 88% 55% 44% 33% 22% 0% 2.44 88% 44% 44%
11. Brondby 8 100% 100% 75% 37% 25% 25% 3.63 87% 75% 62%
12. Randers 8 75% 62% 37% 12% 12% 12% 2.13 50% 50% 25%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Odense BK 9 100% 44% 33% 11% 2 77% 44% 22%
2. FC Midtjylland 9 77% 66% 55% 44% 2.44 66% 55% 44%
3. FC Fredericia 8 50% 25% 12% 12% 1 25% 37% 12%
4. Nordsjaelland 8 75% 12% 0% 0% 0.88 62% 12% 0%
5. FC Copenhagen 8 75% 25% 12% 0% 1.13 37% 50% 12%
6. Viborg 8 100% 75% 50% 37% 2.75 100% 75% 75%
7. Silkeborg 9 77% 55% 22% 0% 1.56 44% 55% 22%
8. Sonderjyske 9 77% 44% 0% 0% 1.22 55% 55% 33%
9. Vejle 8 62% 62% 25% 0% 1.5 50% 50% 37%
10. AGF 9 77% 33% 22% 0% 1.33 77% 22% 22%
11. Brondby 8 87% 37% 25% 12% 1.63 75% 37% 25%
12. Randers 8 50% 37% 25% 12% 1.25 25% 37% 12%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Odense BK 9 88% 55% 33% 11% 1.89 55% 66% 33%
2. FC Midtjylland 9 100% 88% 44% 22% 2.56 100% 66% 66%
3. FC Fredericia 8 87% 62% 25% 12% 2 37% 75% 25%
4. Nordsjaelland 8 50% 50% 50% 25% 1.88 50% 37% 37%
5. FC Copenhagen 8 75% 37% 37% 25% 1.75 75% 37% 37%
6. Viborg 8 75% 37% 12% 0% 1.25 50% 50% 25%
7. Silkeborg 9 66% 22% 11% 0% 1 22% 55% 11%
8. Sonderjyske 9 100% 44% 22% 0% 1.67 88% 44% 33%
9. Vejle 8 87% 50% 0% 0% 1.38 50% 50% 12%
10. AGF 9 66% 33% 11% 0% 1.11 44% 33% 11%
11. Brondby 8 75% 62% 25% 25% 2 62% 50% 37%
12. Randers 8 37% 37% 12% 0% 0.88 25% 25% 12%
# Team P +0.5 +1.5 +2.5 +3.5 +4.5 +5.5 Avg. G GF GA BTTS
1. Odense BK 8 87% 87% 75% 50% 37% 37% 3.75 75% 87% 75%
2. FC Midtjylland 8 87% 75% 37% 25% 0% 0% 2.25 75% 50% 37%
3. FC Fredericia 8 100% 100% 87% 62% 62% 12% 4.25 75% 87% 62%
4. Nordsjaelland 9 100% 88% 77% 44% 44% 22% 3.78 55% 88% 44%
5. FC Copenhagen 9 100% 100% 66% 44% 22% 11% 3.44 77% 88% 66%
6. Viborg 9 88% 77% 55% 22% 0% 0% 2.44 66% 66% 44%
7. Silkeborg 8 100% 87% 75% 50% 37% 25% 3.75 75% 100% 75%
8. Sonderjyske 8 87% 75% 50% 50% 37% 12% 3.38 75% 75% 62%
9. Vejle 9 100% 88% 55% 22% 22% 22% 3.22 66% 100% 66%
10. AGF 8 100% 100% 62% 37% 37% 25% 3.63 100% 87% 87%
11. Brondby 8 100% 62% 12% 12% 12% 0% 2 62% 50% 12%
12. Randers 9 88% 55% 44% 22% 22% 0% 2.33 66% 77% 55%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Odense BK 8 87% 50% 25% 25% 1.88 50% 75% 37%
2. FC Midtjylland 8 50% 25% 0% 0% 0.75 37% 25% 12%
3. FC Fredericia 8 100% 75% 12% 0% 1.88 37% 87% 25%
4. Nordsjaelland 9 77% 66% 33% 22% 2 44% 66% 33%
5. FC Copenhagen 9 77% 33% 22% 11% 1.44 44% 44% 11%
6. Viborg 9 66% 22% 11% 0% 1 33% 55% 22%
7. Silkeborg 8 100% 62% 50% 12% 2.25 75% 87% 62%
8. Sonderjyske 8 62% 37% 37% 12% 1.5 37% 62% 37%
9. Vejle 9 88% 66% 33% 22% 2.22 33% 88% 33%
10. AGF 8 87% 25% 25% 0% 1.38 75% 37% 25%
11. Brondby 8 62% 37% 12% 0% 1.13 50% 12% 0%
12. Randers 9 55% 22% 22% 22% 1.33 22% 55% 22%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Odense BK 8 87% 62% 12% 12% 1.88 37% 75% 25%
2. FC Midtjylland 8 75% 50% 12% 12% 1.5 50% 37% 12%
3. FC Fredericia 8 87% 62% 62% 25% 2.38 50% 87% 50%
4. Nordsjaelland 9 88% 55% 33% 0% 1.78 44% 66% 22%
5. FC Copenhagen 9 100% 66% 22% 11% 2 77% 77% 55%
6. Viborg 9 66% 44% 33% 0% 1.44 55% 33% 22%
7. Silkeborg 8 75% 37% 25% 12% 1.5 37% 62% 25%
8. Sonderjyske 8 75% 50% 25% 25% 1.88 62% 37% 25%
9. Vejle 9 66% 33% 0% 0% 1 44% 55% 33%
10. AGF 8 87% 50% 50% 25% 2.25 62% 62% 37%
11. Brondby 8 50% 37% 0% 0% 0.88 25% 37% 12%
12. Randers 9 55% 33% 11% 0% 1 44% 33% 22%