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st: Re: goals in Favour and Against


From   "victor michael zammit" <vmz@vol.net.mt>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: Re: goals in Favour and Against
Date   Mon, 15 Nov 2004 00:11:01 +0100

  TeamA GA   TeamB   GB
  N          1         G       3
  Z           2         V       2
  Xa         1         K       1
  Xe         2         N       0
  G           2         Z        0
  V           0         Xa      2
  K          1          Xe      2
  N          2          V        2
  G          2          Xa       0
  Z           1          K        3
  V           1         Xe       3
  K           1         G         1
  Xa          2          N       1
  Xe          1          Z        2
  G            2          V        0
  K            2          N        0
  Z            5          Xa       3

  Hence , in the last observation  : " Z  5  Xa  3  " , Z scored 5 goals and
 Xa scored 3 , thus Z gets 3 points and Xa gets 0 points .In the case where
 the
  two teams score the same number of goals,they  gain 1 point each .The
 following
  classification ( let's call it dataset B) , contains the name of the Team,
 the number of Games it played,
  the number of Wins it won, the number of Ties it tied, the number of
Losses
  it lost , the number of goals it has scored (in its Favour) , the number
of
 goals it submitted (Against
  itself), and the number of Points it gained.

      Team  Games    W      T     L        F     A    Points
       G           5          4      1     0        10     2     13
       Xe         4          3      0     1          8     4       9
       K           5          2      2     1          8     5      8
       Z            5          2       1     2       10    11     7
       Xa         5          2      1     2          8     9       7
       V           5           0       2     3        5     11     2
       N           5           0      1      4        4    11      1
   What I am wondering  whether it is possible to produce some routine  such
   that from dataset such as B one could determine  (not chronologically of
 course ), a dataset such as A  .



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