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Subject:
From:
Ken Butler <[log in to unmask]>
Reply To:
Date:
Mon, 14 Feb 1994 22:12:38 PST
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The most notable move this week was that of Harvard; their two wins
against less-than-frightening opposition (Colgate and Cornell) coupled
with losses by CC and NMU moved them up into 3rd. Further down the list,
Brown (with wins against the same two opponents as Harvard) and
Bowling Green (two wins against Kent) both moved up four places.
 
Rank  Last Team                 W  L  T   Rating   Week's results
===================================================================
   1.  (1) Michigan            27- 2- 1   12.381
   2.  (2) Boston U            19- 7      11.260
   3.  (6) Harvard             15- 3- 2   11.078   31:W 39:W
   4.  (3) Colorado Coll       19- 9- 2   10.999    7:W  7:L
   5.  (5) Minnesota           17- 9- 4   10.964   30:T 30:W
   6.  (4) Northern Mich       18-11- 1   10.926   18:W 18:L
   7.  (7) Wisconsin           18-11- 1   10.909    4:L  4:W
   8.  (9) Northeastern        16- 7- 5   10.850   26:W
   9. (10) Lake Superior       19- 9- 3   10.837   11:W 11:T
  10.  (8) Mass-Lowell         16- 6- 7   10.830   15:T 15:T
  11. (13) Michigan State      16- 9- 4   10.681    9:L  9:T
  12. (11) St Cloud            15-10- 3   10.659   24:W 24:L
  13. (14) W Michigan          17- 9- 2   10.641   33:W 33:W
  14. (12) New Hampshire       16-11- 1   10.583   27:L
  15. (15) Maine               14-11- 3   10.510   10:T 10:T
  16. (16) RPI                 14- 6- 3   10.430   43:W 28:T
  17. (21) Brown               12- 6- 3   10.321   39:W 31:W
  18. (19) Alaska-Anchorage    12-14- 2   10.295    6:L  6:W
  19. (18) Miami               14-11- 1   10.227   36:L 32:W
  20. (20) Alaska-Fairbanks    15-10      10.224
  21. (17) Denver              13-15- 2   10.217   29:L 29:L
  22. (26) Bowling Green       13-12- 2   10.128   34:W 34:W
  23. (22) Boston College      11-12- 3   10.115
  24. (23) Minnesota-Duluth    11-16- 3   10.114   12:L 12:W
  25. (25) Clarkson            11- 7- 4   10.062   42:W 35:W
  26. (24) Providence          11-13- 3   10.024    8:L
  27. (30) Merrimack           10-13- 2    9.897   14:W
  28. (27) Vermont             10- 8- 5    9.863   38:T 16:T
  29. (32) Michigan Tech        9-19- 5    9.828   21:W 21:W
  30. (28) North Dakota         8-19- 3    9.816    5:T  5:L
  31. (29) Colgate             10-10- 2    9.684    3:L 17:L
  32. (31) Ferris State        10-19- 1    9.569   37:L 19:L
  33. (34) Notre Dame           7-19- 4    9.285   13:L 13:L
  34. (33) Kent                 9-19- 2    9.284   22:L 22:L
  35. (35) Princeton            7-10- 3    9.222   40:W 25:L
  36. (39) Ill-Chicago          7-21- 2    9.157   19:W 37:T
  37. (40) Ohio State           4-15- 5    9.114   32:W 36:T
  38. (38) Union                6- 9- 3    9.112   28:T 43:W
  39. (37) Cornell              4-12- 5    9.017   17:L  3:L
  40. (36) St Lawrence          8-16       8.876   35:L 42:L
  41. (41) Air Force            4-14       8.302
  42. (43) Yale                 4-17       8.160   25:L 40:W
  43. (42) Dartmouth            3-17- 1    8.138   16:L 38:L
  44. (44) Mass-Amherst         1- 6       7.792
  45. (45) Army                 1-12       7.059
 
 
-----------------------------------------------------------
KRACH works along the following lines:
 
The key is the relationship between ratings and probability. Given the
ratings of two teams, first work out the difference d. The probability
of the higher-rated team winning a game on neutral ice is then:
 
Rating difference       Probability
       0.0                  0.5
       0.2                  0.55
       0.5                  0.62
       1.0                  0.73
       1.5                  0.82
       2.0                  0.88
       3.0                  0.95
       4.0                  0.98
       5.0                  0.99
(or, as a formula: prob=1/(1+exp(-d))).
The ratings are then chosen so that the observed win percentage for each
team is equal to the expected win percentage, which is the average win
probability over all the team's opponents. The better a team's
opponents, the fewer games they will be expected to win.
As a result, a team can achieve a high rating by doing well against
average opposition, or by doing averagely against good opposition.
--
Ken Butler
[log in to unmask]

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