Wilson Computer Ratings team analysis
Hobart (11-10)

Hobart's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   York (PA)          485.6 LOSS   67-85         16- 5 Division III
   Union (New York)   476.3 LOSS   72-90         17- 4 Division III
   Union (New York)   476.3 LOSS   68-75         17- 4 Division III
   Vassar             454.7 LOSS   74-85         15- 7 Division III
   Rensselaer         453.9 LOSS   62-66         16- 5 Division III
   Rensselaer         453.9 LOSS   68-73         16- 5 Division III
   St. Lawrence       407.1 LOSS   57-60         11-10 Division III
   Skidmore           400.9 LOSS   94-101        10-11 Division III
   Ithaca             389.9 LOSS   85-88          8-13 Division III
   Rochester Tech     348.5 LOSS   80-81          5-18 Division III
>> Hobart             407.4 <<                   11-10 Division III
   Rochester (NY)     451.5 WIN    97-88    ++    9-10 Division III
   Utica              427.8 WIN    66-53    ++   17- 5 Division III
   Skidmore           400.9 WIN    86-70    +    10-11 Division III
   Ithaca             389.9 WIN    86-66    +     8-13 Division III
   St. John Fisher    374.8 WIN    93-58    +    10-13 Division III
   Clarkson           373.1 WIN    77-63    +    11-10 Division III
   Hamilton           369.7 WIN    84-70    +     5-17 Division III
   Keuka              349.9 WIN    78-65    +    10-12 Division III
   Rochester Tech     348.5 WIN    81-74    +     5-18 Division III
   Merchant Marine    295.9 WIN    91-54    -     7-15 Division III
   Bard               259.0 WIN    77-68    -     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