Wilson Computer Ratings team analysis
Trinity Coll (CT) (19-2)


Trinity Coll (CT)'s opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Tufts              531.2 LOSS   62-68         18- 4 Division III
   Wesleyan           513.3 LOSS   62-64         16- 5 Division III
>> Trinity Coll (CT)  551.6 <<                   19- 2 Division III
   Amherst            509.4 WIN    75-67    +    17- 5 Division III
   Babson             501.5 WIN    77-44    +    15- 6 Division III
   Bates              501.0 WIN    88-77    +    16- 5 Division III
   St Joseph CT       484.9 WIN    72-68    +    16- 6 Division III
   W. New England     480.6 WIN    75-64    +    16- 6 Division III
   Connecticut Coll   478.4 WIN    80-67    +    16- 7 Division III
   Union (New York)   476.3 WIN    97-56    +    17- 4 Division III
   Yeshiva            461.3 WIN    76-52         13- 8 Division III
   E. Connecticut St  449.4 WIN    99-69         13- 8 Division III
   Albertus Magnus    446.3 WIN    92-56         14- 7 Division III
   Williams           440.1 WIN    73-57    -    11-11 Division III
   Suffolk            436.0 WIN    77-53    -    13- 9 Division III
   Russell Sage       435.6 WIN   105-46    -    18- 4 Division III
   Hartford           421.7 WIN    95-68    -    12-10 Division III
   Middlebury         419.0 WIN    79-62    -     8-14 Division III
   Worcester St.      399.8 WIN    99-49    -     9-14 Division III
   Lehman             383.8 WIN   101-39    -    16- 7 Division III
   Hamilton           369.7 WIN    77-48    -     5-17 Division III
   Baruch             336.5 WIN    97-39    -     9-13 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