How to define the probability for never occurred event between players












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I would like to find a probability between opponents that have never played with each other.



I would like to explain what I mean in an example.



Player A won m times against Player B and never lost a match against Player B.
Player B won n times against Player C and never lost a match against Player C.



If Player A and Player C play a match, As a sense, we can easily say that Player A has big advantage against Player C even though they have never played a match before.



I would like to find a formula to define the probability for such events that we need to formalize such kind of probability events.



Firstly, I want to define limit possibilities





A won all matches against B. $P_{A/B}=1$



B won all matches against C. $P_{B/C}=1$



Let's define probability before a real match between A and C
the probability of winning A against C: $$P_{A/C}=1$$







A lost all matches against B . $P_{A/B}=0$



B lost all matches against C . $P_{B/C}=0$



Let's define the probability before a real match between A and C



The probability of winning A against C: $$P_{A/C}=0$$





Other limit possibilities:



A won all matches against B. $P_{A/B}=1$



B lost all matches against C. $P_{B/C}=0$



We can not say anything about a real match between A and C. We can consider their chances are same as limit definition for this condition.



$$P_{A/C}=1/2$$





A lost all matches against B. $P_{A/B}=0$



B won all matches against C . $P_{B/C}=1$



We can not say anything about a real match between A and C. We can consider their chances are same as limit definition for this condition.



$$P_{A/C}=1/2$$



More Generally





A won m times against B in n games. $P_{A/B}=frac{n}{m}$



B won x times against C in y games. $P_{B/C}=frac{x}{y}$



I would like to find an estimated probability before a real match between A and C
$$P_{A/C} =f(m,n,x,y)$$



Some properties of the function $f(m,n,x,y)$ must satisfy that:
The limit conditions:





  • $f(0,n,0,y)=0 tag{1}$

  • $f(0,n,y,y)=frac{1}{2} tag{2}$

  • $f(n,n,0,y)=frac{1}{2} tag{3}$

  • $f(n,n,y,y)=1 tag{4}$


Other important property:



A won x times against B in y games. $P_{A/B}=frac{x}{y}$



B won m times against C in n games. $P_{B/C}=frac{m}{n}$



We should have the same probability with previous result. $$P_{A/C} =f(x,y,m,n)=f(m,n,x,y)$$



Thus,




  • $f(m,n,x,y)=f(x,y,m,n) tag{5}$


Other property is:



$$P_{C/A} =1-P_{A/C}$$




  • $f(y-x,y,n-m,n)=1-f(m,n,x,y)$


Because of property 5 above, we can write that



$f(y-x,y,n-m,n)=f(n-m,n,y-x,y)$




  • $f(n-m,n,y-x,y)=1-f(m,n,x,y) tag{6}$


I have found the candidate function that satisfies these 6 conditions:



$$f(m,n,x,y)=frac{1}{2} (frac{m}{n}+frac{x}{y}) =frac{P_{A/B}+P_{B/C}}{2} tag{7}$$
$$P_{A/C} =frac{P_{A/B}+P_{B/C}}{2} tag{8}$$



I want to extend the idea for 4 players and
I tested the candidate function(7) for 4 players conditions but the candidate function did not work



Let's see the status for 4 players.



A won m times against B in n games. $P_{A/B}=frac{n}{m}$



B won x times against C in y games. $P_{B/C}=frac{x}{y}$



C won k times against D in z games. $P_{C/D}=frac{k}{z}$



I want to find $$P_{A/D} =g(m,n,x,y,k,z)$$



Limit conditions:





  1. $P_{A/D}=g(0,n,0,y,0,z)=0 $


  2. $P_{A/D}=g(0,n,0,y,z,z)=frac{1}{2}$

    /Absolutely, C is the most powerful player but We cannot say anything between A and D before a real match, so we need to give same chance for A and D before a real match. (C>[A,B,D])


  3. $P_{A/D}=g(0,n,y,y,0,z)=frac{1}{2}$
    /Absolutely, B is the most powerful player
    but we do not know the level between A and D. (B>[A,C,D])


  4. $P_{A/D}=g(0,n,y,y,z,z)=frac{1}{2}$
    /Absolutely, B is the most powerful player but we do not know the level between A and D.(B>[A,C,D])


  5. $P_{A/D}=g(n,n,0,y,0,z)=frac{1}{2}$
    /Absolutely, The worst player is B but we do not know the level between A and D.([A,C,D]>B)


  6. $P_{A/D}=g(n,n,0,y,z,z)=frac{1}{2}$
    /Absolutely, The worst player is B but we do not know the level between A and D.([A,C,D]>B)


  7. $P_{A/D}=g(n,n,y,y,0,z)=frac{1}{2}$
    /Absolutely, The worst player is C but we do not know the level between A and D.([A,B,D]>C)

  8. $P_{A/D}=g(n,n,y,y,z,z)=1$


other properties:




  1. $g(m,n,x,y,k,z)=g(m,n,k,z,x,y)=g(x,y,m,n,k,z)=g(x,y,k,z,m,n)=g(k,z,x,y,m,n)=g(k,z,m,n,x,y)$


  2. $P_{D/A} =1-P_{A/D}$ thus $g(n-m,n,y-x,y,z-k,z)=1-g(m,n,x,y,k,z)$


EDIT:
I have found an candidate function $P_{A/D}$ for 4 players : It satisfies all 10 conditions above .



$$P_{A/D}=frac{1}{2}(P_{A/B}+P_{B/C}+P_{C/D})-frac{1}{2}(P_{A/B}P_{B/C}+P_{B/C}P_{C/D}+P_{A/B}P_{C/D})+P_{A/B}P_{B/C}P_{C/D}$$



My candidate function for 5 players ${{A,B,C,D,E}}$ and known values $P_{A/B},P_{B/C},P_{C/D},P_{D/E}$
$$P_{A/E}=frac{1}{2}(P_{A/B}+P_{B/C}+P_{C/D}+P_{D/E})-frac{1}{2}(P_{A/B}P_{B/C}+P_{A/B}P_{C/D}+P_{A/B}P_{D/E}+P_{B/C}P_{C/D}+P_{B/C}P_{D/E}+P_{C/D}P_{D/E})+frac{1}{2}(P_{A/B}P_{B/C}P_{C/D}+P_{A/B}P_{B/C}P_{D/E}+P_{B/C}P_{C/D}P_{D/E}+P_{A/B}P_{C/D}P_{D/E})$$



I would like to generalize the problem for n players . What is the function for n players case?



I haven't seen such probability formula during my search. Please let me know if you know a research about it.

Thanks
Best Regards










share|cite|improve this question











$endgroup$












  • $begingroup$
    It doesn't seem like a purely mathematical problem. Take boxing. Frazier seemed to have an advantage over Ali. Ali beat Foreman in their 1 fight. But Foreman completely dominated Frazier. A vs B and B vs C here tell us nothing useful about A vs C.
    $endgroup$
    – WDS
    Dec 7 '18 at 10:06










  • $begingroup$
    @WDS I just mention probability calculation before the event occurs. For example, the probability of having head for a fairy coin is 1/2 but you can get 2 times tail after flipping 2 times it. The probability of an event does not show what you will get in the future.
    $endgroup$
    – Mathlover
    Dec 7 '18 at 11:09












  • $begingroup$
    This is what rating systems are for, for example ELO: en.wikipedia.org/wiki/Elo_rating_system
    $endgroup$
    – Alex R.
    Dec 7 '18 at 19:25
















0












$begingroup$


I would like to find a probability between opponents that have never played with each other.



I would like to explain what I mean in an example.



Player A won m times against Player B and never lost a match against Player B.
Player B won n times against Player C and never lost a match against Player C.



If Player A and Player C play a match, As a sense, we can easily say that Player A has big advantage against Player C even though they have never played a match before.



I would like to find a formula to define the probability for such events that we need to formalize such kind of probability events.



Firstly, I want to define limit possibilities





A won all matches against B. $P_{A/B}=1$



B won all matches against C. $P_{B/C}=1$



Let's define probability before a real match between A and C
the probability of winning A against C: $$P_{A/C}=1$$







A lost all matches against B . $P_{A/B}=0$



B lost all matches against C . $P_{B/C}=0$



Let's define the probability before a real match between A and C



The probability of winning A against C: $$P_{A/C}=0$$





Other limit possibilities:



A won all matches against B. $P_{A/B}=1$



B lost all matches against C. $P_{B/C}=0$



We can not say anything about a real match between A and C. We can consider their chances are same as limit definition for this condition.



$$P_{A/C}=1/2$$





A lost all matches against B. $P_{A/B}=0$



B won all matches against C . $P_{B/C}=1$



We can not say anything about a real match between A and C. We can consider their chances are same as limit definition for this condition.



$$P_{A/C}=1/2$$



More Generally





A won m times against B in n games. $P_{A/B}=frac{n}{m}$



B won x times against C in y games. $P_{B/C}=frac{x}{y}$



I would like to find an estimated probability before a real match between A and C
$$P_{A/C} =f(m,n,x,y)$$



Some properties of the function $f(m,n,x,y)$ must satisfy that:
The limit conditions:





  • $f(0,n,0,y)=0 tag{1}$

  • $f(0,n,y,y)=frac{1}{2} tag{2}$

  • $f(n,n,0,y)=frac{1}{2} tag{3}$

  • $f(n,n,y,y)=1 tag{4}$


Other important property:



A won x times against B in y games. $P_{A/B}=frac{x}{y}$



B won m times against C in n games. $P_{B/C}=frac{m}{n}$



We should have the same probability with previous result. $$P_{A/C} =f(x,y,m,n)=f(m,n,x,y)$$



Thus,




  • $f(m,n,x,y)=f(x,y,m,n) tag{5}$


Other property is:



$$P_{C/A} =1-P_{A/C}$$




  • $f(y-x,y,n-m,n)=1-f(m,n,x,y)$


Because of property 5 above, we can write that



$f(y-x,y,n-m,n)=f(n-m,n,y-x,y)$




  • $f(n-m,n,y-x,y)=1-f(m,n,x,y) tag{6}$


I have found the candidate function that satisfies these 6 conditions:



$$f(m,n,x,y)=frac{1}{2} (frac{m}{n}+frac{x}{y}) =frac{P_{A/B}+P_{B/C}}{2} tag{7}$$
$$P_{A/C} =frac{P_{A/B}+P_{B/C}}{2} tag{8}$$



I want to extend the idea for 4 players and
I tested the candidate function(7) for 4 players conditions but the candidate function did not work



Let's see the status for 4 players.



A won m times against B in n games. $P_{A/B}=frac{n}{m}$



B won x times against C in y games. $P_{B/C}=frac{x}{y}$



C won k times against D in z games. $P_{C/D}=frac{k}{z}$



I want to find $$P_{A/D} =g(m,n,x,y,k,z)$$



Limit conditions:





  1. $P_{A/D}=g(0,n,0,y,0,z)=0 $


  2. $P_{A/D}=g(0,n,0,y,z,z)=frac{1}{2}$

    /Absolutely, C is the most powerful player but We cannot say anything between A and D before a real match, so we need to give same chance for A and D before a real match. (C>[A,B,D])


  3. $P_{A/D}=g(0,n,y,y,0,z)=frac{1}{2}$
    /Absolutely, B is the most powerful player
    but we do not know the level between A and D. (B>[A,C,D])


  4. $P_{A/D}=g(0,n,y,y,z,z)=frac{1}{2}$
    /Absolutely, B is the most powerful player but we do not know the level between A and D.(B>[A,C,D])


  5. $P_{A/D}=g(n,n,0,y,0,z)=frac{1}{2}$
    /Absolutely, The worst player is B but we do not know the level between A and D.([A,C,D]>B)


  6. $P_{A/D}=g(n,n,0,y,z,z)=frac{1}{2}$
    /Absolutely, The worst player is B but we do not know the level between A and D.([A,C,D]>B)


  7. $P_{A/D}=g(n,n,y,y,0,z)=frac{1}{2}$
    /Absolutely, The worst player is C but we do not know the level between A and D.([A,B,D]>C)

  8. $P_{A/D}=g(n,n,y,y,z,z)=1$


other properties:




  1. $g(m,n,x,y,k,z)=g(m,n,k,z,x,y)=g(x,y,m,n,k,z)=g(x,y,k,z,m,n)=g(k,z,x,y,m,n)=g(k,z,m,n,x,y)$


  2. $P_{D/A} =1-P_{A/D}$ thus $g(n-m,n,y-x,y,z-k,z)=1-g(m,n,x,y,k,z)$


EDIT:
I have found an candidate function $P_{A/D}$ for 4 players : It satisfies all 10 conditions above .



$$P_{A/D}=frac{1}{2}(P_{A/B}+P_{B/C}+P_{C/D})-frac{1}{2}(P_{A/B}P_{B/C}+P_{B/C}P_{C/D}+P_{A/B}P_{C/D})+P_{A/B}P_{B/C}P_{C/D}$$



My candidate function for 5 players ${{A,B,C,D,E}}$ and known values $P_{A/B},P_{B/C},P_{C/D},P_{D/E}$
$$P_{A/E}=frac{1}{2}(P_{A/B}+P_{B/C}+P_{C/D}+P_{D/E})-frac{1}{2}(P_{A/B}P_{B/C}+P_{A/B}P_{C/D}+P_{A/B}P_{D/E}+P_{B/C}P_{C/D}+P_{B/C}P_{D/E}+P_{C/D}P_{D/E})+frac{1}{2}(P_{A/B}P_{B/C}P_{C/D}+P_{A/B}P_{B/C}P_{D/E}+P_{B/C}P_{C/D}P_{D/E}+P_{A/B}P_{C/D}P_{D/E})$$



I would like to generalize the problem for n players . What is the function for n players case?



I haven't seen such probability formula during my search. Please let me know if you know a research about it.

Thanks
Best Regards










share|cite|improve this question











$endgroup$












  • $begingroup$
    It doesn't seem like a purely mathematical problem. Take boxing. Frazier seemed to have an advantage over Ali. Ali beat Foreman in their 1 fight. But Foreman completely dominated Frazier. A vs B and B vs C here tell us nothing useful about A vs C.
    $endgroup$
    – WDS
    Dec 7 '18 at 10:06










  • $begingroup$
    @WDS I just mention probability calculation before the event occurs. For example, the probability of having head for a fairy coin is 1/2 but you can get 2 times tail after flipping 2 times it. The probability of an event does not show what you will get in the future.
    $endgroup$
    – Mathlover
    Dec 7 '18 at 11:09












  • $begingroup$
    This is what rating systems are for, for example ELO: en.wikipedia.org/wiki/Elo_rating_system
    $endgroup$
    – Alex R.
    Dec 7 '18 at 19:25














0












0








0





$begingroup$


I would like to find a probability between opponents that have never played with each other.



I would like to explain what I mean in an example.



Player A won m times against Player B and never lost a match against Player B.
Player B won n times against Player C and never lost a match against Player C.



If Player A and Player C play a match, As a sense, we can easily say that Player A has big advantage against Player C even though they have never played a match before.



I would like to find a formula to define the probability for such events that we need to formalize such kind of probability events.



Firstly, I want to define limit possibilities





A won all matches against B. $P_{A/B}=1$



B won all matches against C. $P_{B/C}=1$



Let's define probability before a real match between A and C
the probability of winning A against C: $$P_{A/C}=1$$







A lost all matches against B . $P_{A/B}=0$



B lost all matches against C . $P_{B/C}=0$



Let's define the probability before a real match between A and C



The probability of winning A against C: $$P_{A/C}=0$$





Other limit possibilities:



A won all matches against B. $P_{A/B}=1$



B lost all matches against C. $P_{B/C}=0$



We can not say anything about a real match between A and C. We can consider their chances are same as limit definition for this condition.



$$P_{A/C}=1/2$$





A lost all matches against B. $P_{A/B}=0$



B won all matches against C . $P_{B/C}=1$



We can not say anything about a real match between A and C. We can consider their chances are same as limit definition for this condition.



$$P_{A/C}=1/2$$



More Generally





A won m times against B in n games. $P_{A/B}=frac{n}{m}$



B won x times against C in y games. $P_{B/C}=frac{x}{y}$



I would like to find an estimated probability before a real match between A and C
$$P_{A/C} =f(m,n,x,y)$$



Some properties of the function $f(m,n,x,y)$ must satisfy that:
The limit conditions:





  • $f(0,n,0,y)=0 tag{1}$

  • $f(0,n,y,y)=frac{1}{2} tag{2}$

  • $f(n,n,0,y)=frac{1}{2} tag{3}$

  • $f(n,n,y,y)=1 tag{4}$


Other important property:



A won x times against B in y games. $P_{A/B}=frac{x}{y}$



B won m times against C in n games. $P_{B/C}=frac{m}{n}$



We should have the same probability with previous result. $$P_{A/C} =f(x,y,m,n)=f(m,n,x,y)$$



Thus,




  • $f(m,n,x,y)=f(x,y,m,n) tag{5}$


Other property is:



$$P_{C/A} =1-P_{A/C}$$




  • $f(y-x,y,n-m,n)=1-f(m,n,x,y)$


Because of property 5 above, we can write that



$f(y-x,y,n-m,n)=f(n-m,n,y-x,y)$




  • $f(n-m,n,y-x,y)=1-f(m,n,x,y) tag{6}$


I have found the candidate function that satisfies these 6 conditions:



$$f(m,n,x,y)=frac{1}{2} (frac{m}{n}+frac{x}{y}) =frac{P_{A/B}+P_{B/C}}{2} tag{7}$$
$$P_{A/C} =frac{P_{A/B}+P_{B/C}}{2} tag{8}$$



I want to extend the idea for 4 players and
I tested the candidate function(7) for 4 players conditions but the candidate function did not work



Let's see the status for 4 players.



A won m times against B in n games. $P_{A/B}=frac{n}{m}$



B won x times against C in y games. $P_{B/C}=frac{x}{y}$



C won k times against D in z games. $P_{C/D}=frac{k}{z}$



I want to find $$P_{A/D} =g(m,n,x,y,k,z)$$



Limit conditions:





  1. $P_{A/D}=g(0,n,0,y,0,z)=0 $


  2. $P_{A/D}=g(0,n,0,y,z,z)=frac{1}{2}$

    /Absolutely, C is the most powerful player but We cannot say anything between A and D before a real match, so we need to give same chance for A and D before a real match. (C>[A,B,D])


  3. $P_{A/D}=g(0,n,y,y,0,z)=frac{1}{2}$
    /Absolutely, B is the most powerful player
    but we do not know the level between A and D. (B>[A,C,D])


  4. $P_{A/D}=g(0,n,y,y,z,z)=frac{1}{2}$
    /Absolutely, B is the most powerful player but we do not know the level between A and D.(B>[A,C,D])


  5. $P_{A/D}=g(n,n,0,y,0,z)=frac{1}{2}$
    /Absolutely, The worst player is B but we do not know the level between A and D.([A,C,D]>B)


  6. $P_{A/D}=g(n,n,0,y,z,z)=frac{1}{2}$
    /Absolutely, The worst player is B but we do not know the level between A and D.([A,C,D]>B)


  7. $P_{A/D}=g(n,n,y,y,0,z)=frac{1}{2}$
    /Absolutely, The worst player is C but we do not know the level between A and D.([A,B,D]>C)

  8. $P_{A/D}=g(n,n,y,y,z,z)=1$


other properties:




  1. $g(m,n,x,y,k,z)=g(m,n,k,z,x,y)=g(x,y,m,n,k,z)=g(x,y,k,z,m,n)=g(k,z,x,y,m,n)=g(k,z,m,n,x,y)$


  2. $P_{D/A} =1-P_{A/D}$ thus $g(n-m,n,y-x,y,z-k,z)=1-g(m,n,x,y,k,z)$


EDIT:
I have found an candidate function $P_{A/D}$ for 4 players : It satisfies all 10 conditions above .



$$P_{A/D}=frac{1}{2}(P_{A/B}+P_{B/C}+P_{C/D})-frac{1}{2}(P_{A/B}P_{B/C}+P_{B/C}P_{C/D}+P_{A/B}P_{C/D})+P_{A/B}P_{B/C}P_{C/D}$$



My candidate function for 5 players ${{A,B,C,D,E}}$ and known values $P_{A/B},P_{B/C},P_{C/D},P_{D/E}$
$$P_{A/E}=frac{1}{2}(P_{A/B}+P_{B/C}+P_{C/D}+P_{D/E})-frac{1}{2}(P_{A/B}P_{B/C}+P_{A/B}P_{C/D}+P_{A/B}P_{D/E}+P_{B/C}P_{C/D}+P_{B/C}P_{D/E}+P_{C/D}P_{D/E})+frac{1}{2}(P_{A/B}P_{B/C}P_{C/D}+P_{A/B}P_{B/C}P_{D/E}+P_{B/C}P_{C/D}P_{D/E}+P_{A/B}P_{C/D}P_{D/E})$$



I would like to generalize the problem for n players . What is the function for n players case?



I haven't seen such probability formula during my search. Please let me know if you know a research about it.

Thanks
Best Regards










share|cite|improve this question











$endgroup$




I would like to find a probability between opponents that have never played with each other.



I would like to explain what I mean in an example.



Player A won m times against Player B and never lost a match against Player B.
Player B won n times against Player C and never lost a match against Player C.



If Player A and Player C play a match, As a sense, we can easily say that Player A has big advantage against Player C even though they have never played a match before.



I would like to find a formula to define the probability for such events that we need to formalize such kind of probability events.



Firstly, I want to define limit possibilities





A won all matches against B. $P_{A/B}=1$



B won all matches against C. $P_{B/C}=1$



Let's define probability before a real match between A and C
the probability of winning A against C: $$P_{A/C}=1$$







A lost all matches against B . $P_{A/B}=0$



B lost all matches against C . $P_{B/C}=0$



Let's define the probability before a real match between A and C



The probability of winning A against C: $$P_{A/C}=0$$





Other limit possibilities:



A won all matches against B. $P_{A/B}=1$



B lost all matches against C. $P_{B/C}=0$



We can not say anything about a real match between A and C. We can consider their chances are same as limit definition for this condition.



$$P_{A/C}=1/2$$





A lost all matches against B. $P_{A/B}=0$



B won all matches against C . $P_{B/C}=1$



We can not say anything about a real match between A and C. We can consider their chances are same as limit definition for this condition.



$$P_{A/C}=1/2$$



More Generally





A won m times against B in n games. $P_{A/B}=frac{n}{m}$



B won x times against C in y games. $P_{B/C}=frac{x}{y}$



I would like to find an estimated probability before a real match between A and C
$$P_{A/C} =f(m,n,x,y)$$



Some properties of the function $f(m,n,x,y)$ must satisfy that:
The limit conditions:





  • $f(0,n,0,y)=0 tag{1}$

  • $f(0,n,y,y)=frac{1}{2} tag{2}$

  • $f(n,n,0,y)=frac{1}{2} tag{3}$

  • $f(n,n,y,y)=1 tag{4}$


Other important property:



A won x times against B in y games. $P_{A/B}=frac{x}{y}$



B won m times against C in n games. $P_{B/C}=frac{m}{n}$



We should have the same probability with previous result. $$P_{A/C} =f(x,y,m,n)=f(m,n,x,y)$$



Thus,




  • $f(m,n,x,y)=f(x,y,m,n) tag{5}$


Other property is:



$$P_{C/A} =1-P_{A/C}$$




  • $f(y-x,y,n-m,n)=1-f(m,n,x,y)$


Because of property 5 above, we can write that



$f(y-x,y,n-m,n)=f(n-m,n,y-x,y)$




  • $f(n-m,n,y-x,y)=1-f(m,n,x,y) tag{6}$


I have found the candidate function that satisfies these 6 conditions:



$$f(m,n,x,y)=frac{1}{2} (frac{m}{n}+frac{x}{y}) =frac{P_{A/B}+P_{B/C}}{2} tag{7}$$
$$P_{A/C} =frac{P_{A/B}+P_{B/C}}{2} tag{8}$$



I want to extend the idea for 4 players and
I tested the candidate function(7) for 4 players conditions but the candidate function did not work



Let's see the status for 4 players.



A won m times against B in n games. $P_{A/B}=frac{n}{m}$



B won x times against C in y games. $P_{B/C}=frac{x}{y}$



C won k times against D in z games. $P_{C/D}=frac{k}{z}$



I want to find $$P_{A/D} =g(m,n,x,y,k,z)$$



Limit conditions:





  1. $P_{A/D}=g(0,n,0,y,0,z)=0 $


  2. $P_{A/D}=g(0,n,0,y,z,z)=frac{1}{2}$

    /Absolutely, C is the most powerful player but We cannot say anything between A and D before a real match, so we need to give same chance for A and D before a real match. (C>[A,B,D])


  3. $P_{A/D}=g(0,n,y,y,0,z)=frac{1}{2}$
    /Absolutely, B is the most powerful player
    but we do not know the level between A and D. (B>[A,C,D])


  4. $P_{A/D}=g(0,n,y,y,z,z)=frac{1}{2}$
    /Absolutely, B is the most powerful player but we do not know the level between A and D.(B>[A,C,D])


  5. $P_{A/D}=g(n,n,0,y,0,z)=frac{1}{2}$
    /Absolutely, The worst player is B but we do not know the level between A and D.([A,C,D]>B)


  6. $P_{A/D}=g(n,n,0,y,z,z)=frac{1}{2}$
    /Absolutely, The worst player is B but we do not know the level between A and D.([A,C,D]>B)


  7. $P_{A/D}=g(n,n,y,y,0,z)=frac{1}{2}$
    /Absolutely, The worst player is C but we do not know the level between A and D.([A,B,D]>C)

  8. $P_{A/D}=g(n,n,y,y,z,z)=1$


other properties:




  1. $g(m,n,x,y,k,z)=g(m,n,k,z,x,y)=g(x,y,m,n,k,z)=g(x,y,k,z,m,n)=g(k,z,x,y,m,n)=g(k,z,m,n,x,y)$


  2. $P_{D/A} =1-P_{A/D}$ thus $g(n-m,n,y-x,y,z-k,z)=1-g(m,n,x,y,k,z)$


EDIT:
I have found an candidate function $P_{A/D}$ for 4 players : It satisfies all 10 conditions above .



$$P_{A/D}=frac{1}{2}(P_{A/B}+P_{B/C}+P_{C/D})-frac{1}{2}(P_{A/B}P_{B/C}+P_{B/C}P_{C/D}+P_{A/B}P_{C/D})+P_{A/B}P_{B/C}P_{C/D}$$



My candidate function for 5 players ${{A,B,C,D,E}}$ and known values $P_{A/B},P_{B/C},P_{C/D},P_{D/E}$
$$P_{A/E}=frac{1}{2}(P_{A/B}+P_{B/C}+P_{C/D}+P_{D/E})-frac{1}{2}(P_{A/B}P_{B/C}+P_{A/B}P_{C/D}+P_{A/B}P_{D/E}+P_{B/C}P_{C/D}+P_{B/C}P_{D/E}+P_{C/D}P_{D/E})+frac{1}{2}(P_{A/B}P_{B/C}P_{C/D}+P_{A/B}P_{B/C}P_{D/E}+P_{B/C}P_{C/D}P_{D/E}+P_{A/B}P_{C/D}P_{D/E})$$



I would like to generalize the problem for n players . What is the function for n players case?



I haven't seen such probability formula during my search. Please let me know if you know a research about it.

Thanks
Best Regards







probability probability-theory






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edited Dec 7 '18 at 16:06







Mathlover

















asked Dec 7 '18 at 9:25









MathloverMathlover

6,22222467




6,22222467












  • $begingroup$
    It doesn't seem like a purely mathematical problem. Take boxing. Frazier seemed to have an advantage over Ali. Ali beat Foreman in their 1 fight. But Foreman completely dominated Frazier. A vs B and B vs C here tell us nothing useful about A vs C.
    $endgroup$
    – WDS
    Dec 7 '18 at 10:06










  • $begingroup$
    @WDS I just mention probability calculation before the event occurs. For example, the probability of having head for a fairy coin is 1/2 but you can get 2 times tail after flipping 2 times it. The probability of an event does not show what you will get in the future.
    $endgroup$
    – Mathlover
    Dec 7 '18 at 11:09












  • $begingroup$
    This is what rating systems are for, for example ELO: en.wikipedia.org/wiki/Elo_rating_system
    $endgroup$
    – Alex R.
    Dec 7 '18 at 19:25


















  • $begingroup$
    It doesn't seem like a purely mathematical problem. Take boxing. Frazier seemed to have an advantage over Ali. Ali beat Foreman in their 1 fight. But Foreman completely dominated Frazier. A vs B and B vs C here tell us nothing useful about A vs C.
    $endgroup$
    – WDS
    Dec 7 '18 at 10:06










  • $begingroup$
    @WDS I just mention probability calculation before the event occurs. For example, the probability of having head for a fairy coin is 1/2 but you can get 2 times tail after flipping 2 times it. The probability of an event does not show what you will get in the future.
    $endgroup$
    – Mathlover
    Dec 7 '18 at 11:09












  • $begingroup$
    This is what rating systems are for, for example ELO: en.wikipedia.org/wiki/Elo_rating_system
    $endgroup$
    – Alex R.
    Dec 7 '18 at 19:25
















$begingroup$
It doesn't seem like a purely mathematical problem. Take boxing. Frazier seemed to have an advantage over Ali. Ali beat Foreman in their 1 fight. But Foreman completely dominated Frazier. A vs B and B vs C here tell us nothing useful about A vs C.
$endgroup$
– WDS
Dec 7 '18 at 10:06




$begingroup$
It doesn't seem like a purely mathematical problem. Take boxing. Frazier seemed to have an advantage over Ali. Ali beat Foreman in their 1 fight. But Foreman completely dominated Frazier. A vs B and B vs C here tell us nothing useful about A vs C.
$endgroup$
– WDS
Dec 7 '18 at 10:06












$begingroup$
@WDS I just mention probability calculation before the event occurs. For example, the probability of having head for a fairy coin is 1/2 but you can get 2 times tail after flipping 2 times it. The probability of an event does not show what you will get in the future.
$endgroup$
– Mathlover
Dec 7 '18 at 11:09






$begingroup$
@WDS I just mention probability calculation before the event occurs. For example, the probability of having head for a fairy coin is 1/2 but you can get 2 times tail after flipping 2 times it. The probability of an event does not show what you will get in the future.
$endgroup$
– Mathlover
Dec 7 '18 at 11:09














$begingroup$
This is what rating systems are for, for example ELO: en.wikipedia.org/wiki/Elo_rating_system
$endgroup$
– Alex R.
Dec 7 '18 at 19:25




$begingroup$
This is what rating systems are for, for example ELO: en.wikipedia.org/wiki/Elo_rating_system
$endgroup$
– Alex R.
Dec 7 '18 at 19:25










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