Wilson Computer Ratings team analysis
Ithaca (8-13)

Ithaca's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   W. New England     480.6 LOSS   60-77         16- 6 Division III
   Union (New York)   476.3 LOSS   73-81         17- 4 Division III
   Union (New York)   476.3 LOSS   79-86         17- 4 Division III
   Cortland St.       468.3 LOSS   61-80         17- 4 Division III
   Vassar             454.7 LOSS   85-88         15- 7 Division III
   Rensselaer         453.9 LOSS   73-88         16- 5 Division III
   Rochester (NY)     451.5 LOSS   95-104         9-10 Division III
   St. Joseph's (ME)  447.8 LOSS   70-87         13- 8 Division III
   Kean               412.4 LOSS   69-74         11-12 Division III
   Hobart             407.4 LOSS   66-86         11-10 Division III
   Brockport St.      398.9 LOSS   87-96         11-11 Division III
   Clarkson           373.1 LOSS   69-86         11-10 Division III
   Clarkson           373.1 LOSS   69-74         11-10 Division III
>> Ithaca             389.9 <<                    8-13 Division III
   Hobart             407.4 WIN    88-85    ++   11-10 Division III
   St. Lawrence       407.1 WIN    55-52    ++   11-10 Division III
   St. Lawrence       407.1 WIN    75-72    ++   11-10 Division III
   Skidmore           400.9 WIN    96-70    ++   10-11 Division III
   Hamilton           369.7 WIN    75-71    +     5-17 Division III
   Rochester Tech     348.5 WIN   101-72    +     5-18 Division III
   Rochester Tech     348.5 WIN    83-72    +     5-18 Division III
   Bard               259.0 WIN   116-62    -     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