# Team Avg. G +0.5 +1.5 +2.5 +3.5 +4.5 +5.5 BTTS GF GA
1. Sønderjyske 3.5 100% 94% 66% 50% 33% 5% 66% 72% 94%
2. Nordsjælland 3.47 100% 88% 64% 52% 35% 5% 76% 94% 82%
3. Viborg 3.39 88% 77% 66% 55% 38% 11% 72% 88% 72%
4. Brøndby 3.22 94% 77% 55% 50% 27% 16% 55% 83% 66%
5. Vejle 3.17 100% 83% 61% 38% 22% 11% 55% 66% 88%
6. Midtjylland 3 100% 83% 55% 38% 16% 5% 55% 88% 66%
7. København 3 94% 94% 61% 38% 11% 0% 77% 94% 77%
8. Randers 2.94 100% 88% 55% 38% 11% 0% 66% 88% 77%
9. Silkeborg 2.94 100% 77% 50% 44% 16% 5% 72% 88% 83%
10. AGF 2.89 94% 77% 44% 38% 22% 11% 61% 83% 72%
11. Aalborg 2.88 94% 82% 58% 35% 11% 5% 41% 47% 88%
12. Lyngby 2.06 88% 72% 33% 11% 0% 0% 50% 55% 83%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Sønderjyske 18 83% 55% 22% 11% 1.78 55% 66% 38%
2. Nordsjælland 17 82% 76% 41% 17% 2.24 70% 64% 52%
3. Viborg 18 77% 55% 27% 11% 1.72 55% 55% 33%
4. Brøndby 18 88% 50% 11% 5% 1.61 66% 55% 33%
5. Vejle 18 66% 11% 5% 5% 0.89 33% 44% 11%
6. Midtjylland 18 94% 33% 22% 5% 1.56 66% 61% 33%
7. København 18 77% 44% 11% 0% 1.33 61% 33% 16%
8. Randers 18 72% 38% 16% 5% 1.39 61% 38% 27%
9. Silkeborg 18 66% 38% 16% 0% 1.22 50% 44% 27%
10. AGF 18 77% 44% 27% 11% 1.61 61% 50% 33%
11. Aalborg 17 76% 23% 11% 5% 1.18 23% 58% 5%
12. Lyngby 18 66% 22% 0% 0% 0.89 22% 55% 11%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Sønderjyske 18 83% 55% 22% 11% 1.72 33% 72% 22%
2. Nordsjælland 17 76% 41% 5% 0% 1.24 41% 41% 5%
3. Viborg 18 83% 50% 22% 11% 1.67 50% 55% 22%
4. Brøndby 18 66% 50% 33% 11% 1.61 61% 33% 27%
5. Vejle 18 88% 72% 38% 22% 2.28 50% 77% 38%
6. Midtjylland 18 77% 38% 16% 11% 1.44 66% 22% 11%
7. København 18 88% 66% 11% 0% 1.67 72% 50% 33%
8. Randers 18 88% 50% 11% 5% 1.56 55% 61% 27%
9. Silkeborg 18 88% 55% 16% 11% 1.72 61% 61% 33%
10. AGF 18 83% 38% 5% 0% 1.28 61% 38% 16%
11. Aalborg 17 82% 52% 23% 5% 1.71 41% 70% 29%
12. Lyngby 18 55% 44% 16% 0% 1.17 38% 50% 33%
# Team P +0.5 +1.5 +2.5 +3.5 +4.5 +5.5 Avg. G GF GA BTTS
1. Sønderjyske 9 100% 100% 77% 66% 44% 0% 3.89 88% 100% 88%
2. Nordsjælland 9 100% 88% 55% 33% 22% 0% 3 100% 77% 77%
3. Viborg 8 100% 75% 62% 50% 50% 25% 3.63 100% 75% 75%
4. Brøndby 9 88% 66% 33% 22% 11% 0% 2.22 77% 55% 44%
5. Vejle 9 100% 88% 66% 44% 22% 0% 3.22 66% 88% 55%
6. Midtjylland 9 100% 77% 44% 33% 22% 11% 2.89 100% 44% 44%
7. København 9 100% 100% 66% 55% 11% 0% 3.33 100% 88% 88%
8. Randers 9 100% 88% 55% 33% 0% 0% 2.78 88% 66% 55%
9. Silkeborg 10 100% 70% 50% 50% 30% 10% 3.1 90% 80% 70%
10. AGF 9 100% 88% 55% 44% 22% 22% 3.33 100% 77% 77%
11. Aalborg 8 87% 87% 75% 37% 12% 12% 3.13 50% 75% 37%
12. Lyngby 9 77% 66% 33% 22% 0% 0% 2 44% 66% 33%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Sønderjyske 9 100% 55% 33% 22% 2.22 77% 66% 44%
2. Nordsjælland 9 77% 66% 33% 22% 2.11 66% 44% 33%
3. Viborg 8 87% 50% 37% 25% 2 75% 50% 37%
4. Brøndby 9 77% 22% 0% 0% 1 55% 44% 22%
5. Vejle 9 55% 11% 0% 0% 0.67 33% 33% 11%
6. Midtjylland 9 100% 33% 11% 0% 1.44 88% 44% 33%
7. København 9 77% 44% 11% 0% 1.33 66% 44% 33%
8. Randers 9 77% 55% 22% 0% 1.56 66% 44% 33%
9. Silkeborg 10 60% 50% 30% 0% 1.4 50% 40% 30%
10. AGF 9 100% 55% 22% 11% 1.89 88% 55% 44%
11. Aalborg 8 62% 25% 12% 0% 1 25% 37% 0%
12. Lyngby 9 55% 22% 0% 0% 0.78 22% 33% 0%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Sønderjyske 9 77% 55% 22% 11% 1.67 33% 77% 33%
2. Nordsjælland 9 66% 22% 0% 0% 0.89 44% 33% 11%
3. Viborg 8 87% 37% 25% 12% 1.63 50% 75% 37%
4. Brøndby 9 66% 33% 22% 0% 1.22 55% 22% 11%
5. Vejle 9 88% 77% 55% 33% 2.56 55% 77% 44%
6. Midtjylland 9 77% 44% 11% 11% 1.44 66% 11% 0%
7. København 9 100% 88% 11% 0% 2 100% 55% 55%
8. Randers 9 88% 33% 0% 0% 1.22 44% 44% 0%
9. Silkeborg 10 100% 50% 10% 10% 1.7 60% 60% 20%
10. AGF 9 77% 55% 11% 0% 1.44 66% 33% 22%
11. Aalborg 8 87% 75% 25% 12% 2.13 50% 75% 37%
12. Lyngby 9 44% 44% 33% 0% 1.22 33% 44% 33%
# Team P +0.5 +1.5 +2.5 +3.5 +4.5 +5.5 Avg. G GF GA BTTS
1. Sønderjyske 9 100% 88% 55% 33% 22% 11% 3.11 55% 88% 44%
2. Nordsjælland 8 100% 87% 75% 75% 50% 12% 4 87% 87% 75%
3. Viborg 10 80% 80% 70% 60% 30% 0% 3.2 80% 70% 70%
4. Brøndby 9 100% 88% 77% 77% 44% 33% 4.22 88% 77% 66%
5. Vejle 9 100% 77% 55% 33% 22% 22% 3.11 66% 88% 55%
6. Midtjylland 9 100% 88% 66% 44% 11% 0% 3.11 77% 88% 66%
7. København 9 88% 88% 55% 22% 11% 0% 2.67 88% 66% 66%
8. Randers 9 100% 88% 55% 44% 22% 0% 3.11 88% 88% 77%
9. Silkeborg 8 100% 87% 50% 37% 0% 0% 2.75 87% 87% 75%
10. AGF 9 88% 66% 33% 33% 22% 0% 2.44 66% 66% 44%
11. Aalborg 9 100% 77% 44% 33% 11% 0% 2.67 44% 100% 44%
12. Lyngby 9 100% 77% 33% 0% 0% 0% 2.11 66% 100% 66%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Sønderjyske 9 66% 55% 11% 0% 1.33 33% 66% 33%
2. Nordsjælland 8 87% 87% 50% 12% 2.38 75% 87% 75%
3. Viborg 10 70% 60% 20% 0% 1.5 40% 60% 30%
4. Brøndby 9 100% 77% 22% 11% 2.22 77% 66% 44%
5. Vejle 9 77% 11% 11% 11% 1.11 33% 55% 11%
6. Midtjylland 9 88% 33% 33% 11% 1.67 44% 77% 33%
7. København 9 77% 44% 11% 0% 1.33 55% 22% 0%
8. Randers 9 66% 22% 11% 11% 1.22 55% 33% 22%
9. Silkeborg 8 75% 25% 0% 0% 1 50% 50% 25%
10. AGF 9 55% 33% 33% 11% 1.33 33% 44% 22%
11. Aalborg 9 88% 22% 11% 11% 1.33 22% 77% 11%
12. Lyngby 9 77% 22% 0% 0% 1 22% 77% 22%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Sønderjyske 9 88% 55% 22% 11% 1.78 33% 66% 11%
2. Nordsjælland 8 87% 62% 12% 0% 1.63 37% 50% 0%
3. Viborg 10 80% 60% 20% 10% 1.7 50% 40% 10%
4. Brøndby 9 66% 66% 44% 22% 2 66% 44% 44%
5. Vejle 9 88% 66% 22% 11% 2 44% 77% 33%
6. Midtjylland 9 77% 33% 22% 11% 1.44 66% 33% 22%
7. København 9 77% 44% 11% 0% 1.33 44% 44% 11%
8. Randers 9 88% 66% 22% 11% 1.89 66% 77% 55%
9. Silkeborg 8 75% 62% 25% 12% 1.75 62% 62% 50%
10. AGF 9 88% 22% 0% 0% 1.11 55% 44% 11%
11. Aalborg 9 77% 33% 22% 0% 1.33 33% 66% 22%
12. Lyngby 9 66% 44% 0% 0% 1.11 44% 55% 33%