APPENDIX
Equations (Eq):
Eq 1:
 
Par winsi (r) =max
 
  We formally define the number of wins required after round r for team i as Par winsi (r); and the total number of wins for team i at the completion of round r as TWi(r). Using the 8th ranked team at any round r as the ideal Par proportion in determining the wins required to make the finals.
Eq 2:
Pri(F8|r)=1{Par Winsi(r)=}+1{(Par Winsi(r)>0)∩(Par Winsi(r)<22-r)}[1-B(Par Winsi(r)-1;22-r,Pi)]
  where is 1{a} the indicator function taking value 1 if condition a is true and 0 if false.
Eq 3:
Ii(r)=Pri(Make F8|Win Match r + 1)-Pri(Make F|Lose Match r + 1)
Eq 4:
Pri(Make F8|Win Match r + 1) = 1{Par Winsi(r)=}+1{(Par Winsi(r)>0)∩(Par Winsi(r)<22-r)}[1-B(Par Winsi(r)-2;22-(r+1),p)]
Eq 5:
Pri(Make F8|Lost Match r + 1) = 1{Par Winsi(r)=}+1{(Par Winsi(r)>0)∩(Par Winsi(r)<22-r)}[1-B(Par Winsi(r)-1;22-(r+1),p)]
Eq 6:
Ui(r)=1-Ii(r)
  =1+Pri(Make F8|Win Match r + 1)-Pri(Make F|Lose Match r + 1)
  =1+[1-B(x;n,p)]-[1-B(x-1;n,p)]
 
  =1+[1-(b(0;n,p)+b(1;n,p)+...+b(x;n,p))]-[1-(b(0;n,p)+b(1;n,p)+...+b(x-1;n,p))]
  =1-b(x;n,p)
  So,
  Ui(r)=1-Par Winsi;22-(r+1),p)
  Noting b(x;n,p) (the discrete binomial distribution function with x = number of successes, n = number of trials and p = probability of success) in the final result, Unimportance is simple to evaluate, relying on a discrete rather than continuous result, and given the values of Par Wins, can be easily computed using a scientific calculator.
Eq 7:
DPRi(r)=1{i wins matcher}·1{r>6}·Ui(r)·(1-Pri(F8|r))
  where is 1{a} the indicator function taking value 1 if condition a is true and 0 if false. The Draft Score, or DScore, for team i at round r is simply the sum of the DPR:
Eq 8: