Wilson Computer Ratings team analysis
Tufts (18-4)

Tufts's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Endicott           531.6 LOSS   73-76         20- 1 Division III
   Wesleyan           513.3 LOSS   61-68         16- 5 Division III
   Amherst            509.4 LOSS   62-65         17- 5 Division III
   Babson             501.5 LOSS   79-83         15- 6 Division III
>> Tufts              531.2 <<                   18- 4 Division III
   Trinity Coll (CT)  551.6 WIN    68-62    ++   19- 2 Division III
   Worcester Tech     506.9 WIN    70-52    +    17- 4 Division III
   Colby              489.6 WIN    88-66    +    16- 6 Division III
   Bowdoin            488.8 WIN    81-69    +    15- 7 Division III
   Connecticut Coll   478.4 WIN    76-73    +    16- 7 Division III
   Clark              464.8 WIN    79-77    +    12-10 Division III
   Yeshiva            461.3 WIN   100-94    +    13- 8 Division III
   Keene State        457.7 WIN    82-79    +    12-10 Division III
   St. Vincent (PA)   453.6 WIN    66-63    +    14- 7 Division III
   Williams           440.1 WIN    65-36         11-11 Division III
   Suffolk            436.0 WIN    54-47         13- 9 Division III
   Emerson            429.6 WIN    84-50          8-14 Division III
   Lasell             419.5 WIN    87-59    -    10-11 Division III
   Middlebury         419.0 WIN    75-62    -     8-14 Division III
   MIT                396.2 WIN    74-67    -     6-17 Division III
   Bridgewater,Mass.  371.1 WIN   121-67    -     7-14 Division III
   Hamilton           369.7 WIN   102-71    -     5-17 Division III
   VT-Lyndon          264.5 WIN   117-51    --    7-16 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