Wilson Computer Ratings team analysis
Bard (1-24)

Bard's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Union (New York)   447.2 LOSS   60-89         19- 7 Division III
   Union (New York)   447.2 LOSS   56-84         19- 7 Division III
   Rensselaer         446.5 LOSS   47-76         21- 6 Division III
   Rensselaer         446.5 LOSS   38-91         21- 6 Division III
   Vassar             445.3 LOSS   50-93         20-10 Division III
   Vassar             445.3 LOSS   70-81         20-10 Division III
   Hobart             403.8 LOSS   68-77         14-11 Division III
   Hobart             403.8 LOSS   58-75         14-11 Division III
   St. Lawrence       402.5 LOSS   80-81         14-13 Division III
   St. Lawrence       402.5 LOSS   30-82         14-13 Division III
   Skidmore           394.7 LOSS   33-82         13-13 Division III
   Skidmore           394.7 LOSS   52-74         13-13 Division III
   Ithaca             380.7 LOSS   62-116        10-16 Division III
   Ithaca             380.7 LOSS   74-91         10-16 Division III
   Sarah Lawr.        377.3 LOSS   56-65         16-12 Division III
   Clarkson           359.0 LOSS   56-82         11-14 Division III
   Clarkson           359.0 LOSS   67-98         11-14 Division III
   SUNY-New Paltz     354.2 LOSS   73-76         13-13 Division III
   Washington (MD)    353.2 LOSS   43-68         10-17 Division III
   Rochester Tech     350.6 LOSS   66-83          7-20 Division III
   Rochester Tech     350.6 LOSS   58-84          7-20 Division III
   SUNY-Purchase      338.4 LOSS   57-75         12-15 Division III
   Hartwick           329.3 LOSS   83-86         10-15 Division III
   Mt. St. Mary NY    236.5 LOSS   55-62          2-24 Division III
>> Bard               254.9 <<                    1-24 Division III
   Merchant Marine    280.9 WIN    75-63    ++    7-19 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