# Team Avg. G +0.5 +1.5 +2.5 +3.5 +4.5 +5.5 BTTS GF GA
1. Odense BK 3.76 95% 90% 76% 57% 38% 19% 80% 85% 90%
2. FC Midtjylland 3.68 90% 86% 63% 50% 36% 31% 59% 86% 63%
3. FC Fredericia 3.59 100% 95% 72% 50% 36% 4% 63% 72% 90%
4. Nordsjaelland 3.45 100% 77% 72% 40% 36% 18% 50% 77% 72%
5. Viborg 3.38 95% 80% 71% 38% 28% 14% 66% 85% 76%
6. Vejle 3.23 100% 95% 63% 27% 18% 13% 63% 72% 90%
7. FC Copenhagen 3.14 95% 90% 59% 36% 22% 9% 68% 81% 81%
8. AGF 3.14 95% 80% 57% 33% 28% 14% 71% 95% 71%
9. Silkeborg 3.14 95% 86% 59% 36% 22% 13% 54% 54% 95%
10. Sonderjyske 2.82 90% 77% 54% 27% 18% 4% 59% 81% 68%
11. Brondby 2.48 85% 71% 42% 23% 14% 9% 38% 66% 57%
12. Randers 2.23 81% 63% 45% 13% 13% 4% 45% 63% 63%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Odense BK 21 95% 47% 33% 19% 2 61% 61% 28%
2. FC Midtjylland 22 63% 45% 27% 22% 1.59 50% 36% 22%
3. FC Fredericia 22 81% 63% 22% 4% 1.73 50% 68% 36%
4. Nordsjaelland 22 77% 36% 18% 13% 1.45 50% 40% 13%
5. Viborg 21 80% 42% 23% 14% 1.67 61% 57% 38%
6. Vejle 22 72% 59% 27% 9% 1.73 31% 68% 27%
7. FC Copenhagen 22 77% 31% 13% 4% 1.27 40% 50% 13%
8. AGF 21 80% 33% 23% 0% 1.38 76% 33% 28%
9. Silkeborg 22 86% 54% 31% 9% 1.82 54% 68% 36%
10. Sonderjyske 22 68% 36% 13% 4% 1.23 45% 50% 27%
11. Brondby 21 61% 33% 19% 4% 1.19 52% 23% 14%
12. Randers 22 59% 40% 22% 13% 1.41 36% 50% 27%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Odense BK 21 85% 52% 23% 9% 1.76 52% 61% 28%
2. FC Midtjylland 22 86% 68% 36% 18% 2.09 72% 54% 40%
3. FC Fredericia 22 86% 50% 31% 13% 1.86 45% 68% 27%
4. Nordsjaelland 22 77% 59% 40% 13% 2 59% 54% 36%
5. Viborg 21 76% 47% 28% 9% 1.71 61% 47% 33%
6. Vejle 22 77% 50% 13% 4% 1.5 54% 54% 31%
7. FC Copenhagen 22 86% 54% 31% 13% 1.86 68% 63% 45%
8. AGF 21 71% 42% 33% 14% 1.76 52% 47% 28%
9. Silkeborg 22 77% 31% 18% 4% 1.32 22% 68% 13%
10. Sonderjyske 22 77% 45% 22% 9% 1.59 68% 36% 27%
11. Brondby 21 57% 42% 14% 9% 1.29 38% 42% 23%
12. Randers 22 45% 27% 9% 0% 0.82 31% 27% 13%
# Team P +0.5 +1.5 +2.5 +3.5 +4.5 +5.5 Avg. G GF GA BTTS
1. Odense BK 11 100% 100% 81% 63% 45% 9% 4 100% 90% 90%
2. FC Midtjylland 11 90% 90% 72% 54% 54% 54% 4.36 90% 72% 72%
3. FC Fredericia 11 100% 90% 54% 36% 18% 0% 3 63% 90% 54%
4. Nordsjaelland 11 100% 63% 63% 45% 36% 18% 3.27 90% 54% 45%
5. Viborg 10 100% 90% 90% 50% 50% 20% 4.1 100% 90% 90%
6. Vejle 11 100% 100% 72% 27% 9% 0% 3.09 81% 81% 63%
7. FC Copenhagen 11 90% 81% 45% 27% 27% 9% 2.82 81% 72% 63%
8. AGF 10 90% 60% 50% 40% 30% 10% 2.9 90% 50% 50%
9. Silkeborg 11 90% 81% 36% 27% 9% 9% 2.55 36% 90% 36%
10. Sonderjyske 11 100% 81% 63% 18% 9% 0% 2.73 90% 72% 63%
11. Brondby 11 81% 81% 63% 36% 18% 18% 3 72% 63% 54%
12. Randers 11 81% 72% 45% 9% 9% 9% 2.27 63% 54% 36%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Odense BK 11 100% 45% 36% 18% 2.09 72% 45% 18%
2. FC Midtjylland 11 63% 54% 45% 36% 2 54% 45% 36%
3. FC Fredericia 11 63% 45% 18% 9% 1.36 45% 54% 36%
4. Nordsjaelland 11 72% 18% 9% 9% 1.09 63% 9% 0%
5. Viborg 10 100% 70% 40% 30% 2.5 100% 60% 60%
6. Vejle 11 54% 54% 27% 0% 1.36 36% 45% 27%
7. FC Copenhagen 11 81% 36% 9% 0% 1.27 45% 54% 18%
8. AGF 10 80% 30% 20% 0% 1.3 80% 20% 20%
9. Silkeborg 11 72% 45% 18% 0% 1.36 36% 54% 18%
10. Sonderjyske 11 81% 36% 0% 0% 1.18 54% 54% 27%
11. Brondby 11 72% 36% 27% 9% 1.45 63% 36% 27%
12. Randers 11 63% 54% 27% 9% 1.55 45% 45% 27%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Odense BK 11 90% 54% 36% 9% 1.91 63% 63% 36%
2. FC Midtjylland 11 90% 81% 45% 18% 2.36 90% 63% 63%
3. FC Fredericia 11 81% 45% 18% 9% 1.64 36% 63% 18%
4. Nordsjaelland 11 63% 54% 54% 27% 2.18 63% 45% 45%
5. Viborg 10 80% 50% 20% 10% 1.6 60% 60% 40%
6. Vejle 11 90% 63% 18% 0% 1.73 63% 54% 27%
7. FC Copenhagen 11 72% 36% 27% 18% 1.55 54% 45% 27%
8. AGF 10 70% 40% 20% 10% 1.6 50% 40% 20%
9. Silkeborg 11 72% 27% 18% 0% 1.18 18% 63% 9%
10. Sonderjyske 11 90% 45% 18% 0% 1.55 81% 36% 27%
11. Brondby 11 63% 45% 18% 18% 1.55 45% 45% 27%
12. Randers 11 36% 27% 9% 0% 0.73 18% 27% 9%
# Team P +0.5 +1.5 +2.5 +3.5 +4.5 +5.5 Avg. G GF GA BTTS
1. Odense BK 10 90% 80% 70% 50% 30% 30% 3.5 70% 90% 70%
2. FC Midtjylland 11 90% 81% 54% 45% 18% 9% 3 81% 54% 45%
3. FC Fredericia 11 100% 100% 90% 63% 54% 9% 4.18 81% 90% 72%
4. Nordsjaelland 11 100% 90% 81% 36% 36% 18% 3.64 63% 90% 54%
5. Viborg 11 90% 72% 54% 27% 9% 9% 2.73 72% 63% 45%
6. Vejle 11 100% 90% 54% 27% 27% 27% 3.36 63% 100% 63%
7. FC Copenhagen 11 100% 100% 72% 45% 18% 9% 3.45 81% 90% 72%
8. AGF 11 100% 100% 63% 27% 27% 18% 3.36 100% 90% 90%
9. Silkeborg 11 100% 90% 81% 45% 36% 18% 3.73 72% 100% 72%
10. Sonderjyske 11 81% 72% 45% 36% 27% 9% 2.91 72% 63% 54%
11. Brondby 10 90% 60% 20% 10% 10% 0% 1.9 60% 50% 20%
12. Randers 11 81% 54% 45% 18% 18% 0% 2.18 63% 72% 54%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Odense BK 10 90% 50% 30% 20% 1.9 50% 80% 40%
2. FC Midtjylland 11 63% 36% 9% 9% 1.18 45% 27% 9%
3. FC Fredericia 11 100% 81% 27% 0% 2.09 54% 81% 36%
4. Nordsjaelland 11 81% 54% 27% 18% 1.82 36% 72% 27%
5. Viborg 11 63% 18% 9% 0% 0.91 27% 54% 18%
6. Vejle 11 90% 63% 27% 18% 2.09 27% 90% 27%
7. FC Copenhagen 11 72% 27% 18% 9% 1.27 36% 45% 9%
8. AGF 11 81% 36% 27% 0% 1.45 72% 45% 36%
9. Silkeborg 11 100% 63% 45% 18% 2.27 72% 81% 54%
10. Sonderjyske 11 54% 36% 27% 9% 1.27 36% 45% 27%
11. Brondby 10 50% 30% 10% 0% 0.9 40% 10% 0%
12. Randers 11 54% 27% 18% 18% 1.27 27% 54% 27%
# Team P +0.5 +1.5 +2.5 +3.5 Avg. G GF GA BTTS
1. Odense BK 10 80% 50% 10% 10% 1.6 40% 60% 20%
2. FC Midtjylland 11 81% 54% 27% 18% 1.82 54% 45% 18%
3. FC Fredericia 11 90% 54% 45% 18% 2.09 54% 72% 36%
4. Nordsjaelland 11 90% 63% 27% 0% 1.82 54% 63% 27%
5. Viborg 11 72% 45% 36% 9% 1.82 63% 36% 27%
6. Vejle 11 63% 36% 9% 9% 1.27 45% 54% 36%
7. FC Copenhagen 11 100% 72% 36% 9% 2.18 81% 81% 63%
8. AGF 11 72% 45% 45% 18% 1.91 54% 54% 36%
9. Silkeborg 11 81% 36% 18% 9% 1.45 27% 72% 18%
10. Sonderjyske 11 63% 45% 27% 18% 1.64 54% 36% 27%
11. Brondby 10 50% 40% 10% 0% 1 30% 40% 20%
12. Randers 11 54% 27% 9% 0% 0.91 45% 27% 18%