Wilson Computer Ratings team analysis
Williams (13-13)


Williams's opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   John Carroll       559.4 LOSS   61-70         26- 5 Division III
   DePauw             525.0 LOSS   37-72         19-10 Division III
   Bowdoin            513.0 LOSS   51-64         25- 3 Division III
   Bowdoin            513.0 LOSS   48-59         25- 3 Division III
   Bates              511.8 LOSS   51-64         26- 4 Division III
   Smith              501.6 LOSS   48-67         28- 2 Division III
   Amherst            451.7 LOSS   57-63         18- 8 Division III
   Trinity Coll (CT)  449.1 LOSS   63-76         16- 9 Division III
   Colby              415.5 LOSS   62-68         13-11 Division III
   Middlebury         409.7 LOSS   51-62         12-12 Division III
   Worcester Tech     402.7 LOSS   50-53         15-11 Division III
   Rensselaer         398.6 LOSS   70-73         17-10 Division III
   Skidmore           377.3 LOSS   69-73         12-15 Division III
>> Williams           423.1 <<                   13-13 Division III
   Amherst            451.7 WIN    59-44    ++   18- 8 Division III
   Trinity Coll (CT)  449.1 WIN    75-55    ++   16- 9 Division III
   Tufts              442.2 WIN    67-63    ++   13-12 Division III
   Connecticut Coll   415.0 WIN    55-37    +    14-11 Division III
   Hamilton           413.0 WIN    73-63    +    12-13 Division III
   Springfield        412.0 WIN    64-57    +    16-11 Division III
   SUNY-Plattsburgh   381.4 WIN    74-47    +    16-11 Division III
   Wesleyan           374.5 WIN    53-46    +     7-15 Division III
   Wesleyan           374.5 WIN    67-61    +     7-15 Division III
   E. Connecticut St  328.1 WIN    59-55          9-18 Division III
   Wellesley          327.3 WIN    60-50         10-14 Division III
   Curry              270.7 WIN    81-58    -     4-21 Division III
   St Joseph CT       259.6 WIN    62-38    -     8-19 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