Wilson Computer Ratings team analysis
Bowdoin (22-1)


Bowdoin's opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Calvin             496.7 LOSS   51-61         14-10 Division III
>> Bowdoin            541.1 <<                   22- 1 Division III
   Bates              504.8 WIN    77-70    +    21- 3 Division III
   Bates              504.8 WIN    62-49    +    21- 3 Division III
   Trinity Coll (CT)  463.9 WIN    70-57    +    16- 8 Division III
   Amherst            460.4 WIN    57-52    +    17- 7 Division III
   Union (New York)   455.6 WIN    68-56    +    18- 5 Division III
   Tufts              453.3 WIN    76-60    +    13-11 Division III
   Connecticut Coll   427.1 WIN    67-43    -    14-10 Division III
   Williams           426.0 WIN    64-51    -    12-12 Division III
   Colby              423.5 WIN    53-42    -    13-11 Division III
   Colby              423.5 WIN    61-59    -    13-11 Division III
   Hamilton           420.7 WIN    59-50    -    12-12 Division III
   Middlebury         417.8 WIN    75-47    -    12-12 Division III
   Worcester Tech     410.3 WIN    62-43    -    13-10 Division III
   Hartford           401.1 WIN    62-48    -    13-11 Division III
   Skidmore           391.1 WIN    68-46    -    11-12 Division III
   Vassar             384.8 WIN    64-44    -    10-13 Division III
   Wesleyan           383.2 WIN    71-31    -     7-15 Division III
   Maine Maritime     352.5 WIN    76-51    -    17- 8 Division III
   Husson             350.1 WIN    74-46    -    17- 8 Division III
   Wheaton (MA)       319.4 WIN    64-44    --    5-18 Division III
   St Joseph CT       262.3 WIN    66-25    --    7-16 Division III
   Gordon             224.3 WIN    81-44    --    4-19 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).

shopify analytics ecommerce