Wilson Computer Ratings team analysis
Vassar (15-7)

Vassar's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Marist             587.5 LOSS   61-93         16- 8 Division I
   Claremont-Mudd     543.3 LOSS   61-73         20- 2 Division III
   Chapman            493.4 LOSS   69-70         15- 8 Division III
   Rensselaer         453.9 LOSS   56-62         16- 5 Division III
   Rensselaer         453.9 LOSS   58-61         16- 5 Division III
   Williams           440.1 LOSS   69-79         11-11 Division III
   St. Lawrence       407.1 LOSS   56-57         11-10 Division III
>> Vassar             454.7 <<                   15- 7 Division III
   Union (New York)   476.3 WIN    76-74    ++   17- 4 Division III
   Hartford           421.7 WIN    89-74    +    12-10 Division III
   Hobart             407.4 WIN    85-74    +    11-10 Division III
   St. Lawrence       407.1 WIN    70-44    +    11-10 Division III
   SUNY-Geneseo       403.8 WIN    83-68    +    13- 9 Division III
   Skidmore           400.9 WIN    67-46    +    10-11 Division III
   Skidmore           400.9 WIN    82-75    +    10-11 Division III
   Ithaca             389.9 WIN    88-85    +     8-13 Division III
   Clarkson           373.1 WIN    56-54    +    11-10 Division III
   Clarkson           373.1 WIN    70-51    +    11-10 Division III
   SUNY-New Paltz     365.7 WIN    77-56    +    11-11 Division III
   Rochester Tech     348.5 WIN    73-64          5-18 Division III
   Bard               259.0 WIN    93-50    -     1-20 Division III
   Bard               259.0 WIN    81-70    -     1-20 Division III
   Mt. St. Mary NY    247.4 WIN   105-58    -     2-20 Division III
Games against teams within about 100 rating points are often the best indicators of a team's actual strength.

"Effect" ranges from "---", a game that caused a large decrease in the team rating, to "+++", a game that produced a large increase in rating.

Note that wins over very weak teams may actually hurt a team's rating (the opposite is true for losses to very good teams).

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