Wilson Computer Ratings team analysis
St. Lawrence (11-10)

St. Lawrence's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Worcester Tech     506.9 LOSS   66-72         17- 4 Division III
   Union (New York)   476.3 LOSS   68-72         17- 4 Division III
   SUNY-Oswego        458.3 LOSS   83-92         18- 3 Division III
   Vassar             454.7 LOSS   44-70         15- 7 Division III
   Rensselaer         453.9 LOSS   62-65         16- 5 Division III
   Nazareth           435.5 LOSS   58-69         16- 6 Division III
   Polytechnic        423.0 LOSS   51-64         17- 5 Division III
   Ithaca             389.9 LOSS   52-55          8-13 Division III
   Ithaca             389.9 LOSS   72-75          8-13 Division III
   St. John Fisher    374.8 LOSS   52-61         10-13 Division III
>> St. Lawrence       407.1 <<                   11-10 Division III
   Vassar             454.7 WIN    57-56    ++   15- 7 Division III
   Hobart             407.4 WIN    60-57    ++   11-10 Division III
   SUNY-Geneseo       403.8 WIN    80-72    +    13- 9 Division III
   Skidmore           400.9 WIN    75-66    +    10-11 Division III
   SUNY-Plattsburgh   379.8 WIN    87-79    +    11-10 Division III
   Clarkson           373.1 WIN    75-63    +    11-10 Division III
   Clarkson           373.1 WIN    71-59    +    11-10 Division III
   Rochester Tech     348.5 WIN    75-60    +     5-18 Division III
   Rochester Tech     348.5 WIN    82-64    +     5-18 Division III
   Bard               259.0 WIN    81-80    -     1-20 Division III
   Bard               259.0 WIN    82-30    -     1-20 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).

shopify analytics ecommerce