Wilson Computer Ratings team analysis
VA Commonwealth (20-6)

VA Commonwealth's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Vanderbilt         740.3 LOSS   74-89         21- 4 Division I
   Saint Louis        720.8 LOSS   62-71         24- 1 Division I
   Utah St.           708.4 LOSS   77-80         22- 3 Division I
   N. Carolina St.    702.0 LOSS   79-85         18- 8 Division I
   New Mexico         685.6 LOSS   78-81         19- 6 Division I
   George Mason       659.2 LOSS   80-86         21- 5 Division I
>> VA Commonwealth    679.8 <<                   20- 6 Division I
   Virginia Tech      686.1 WIN    86-68    ++   17- 9 Division I
   South Florida      656.6 WIN    78-66    +    18- 8 Division I
   Dayton             646.1 WIN    99-73    +    16- 9 Division I
   Davidson           629.1 WIN    75-69    +    15-10 Division I
   Duquesne           620.8 WIN    93-80    +    15-10 Division I
   St. Joseph's (PA)  617.4 WIN    79-72    +    15-10 Division I
   St. Bonaventure    611.7 WIN    89-82    +    14-11 Division I
   Rhode Island       606.3 WIN    84-75    +    14-11 Division I
   Richmond           601.7 WIN    77-69    +    14-12 Division I
   Richmond           601.7 WIN    78-67    +    14-12 Division I
   St. Peter's        585.1 WIN    78-61         15- 9 Division I
   Fordham            581.1 WIN    63-59         14-12 Division I
   Samford            572.6 WIN    83-57         15-12 Division I
   LaSalle            561.8 WIN    77-68    -     7-18 Division I
   American           553.8 WIN   105-83    -    14-13 Division I
   Loyola (Chicago)   549.7 WIN    89-75    -     6-20 Division I
   Niagara            500.8 WIN    84-58    -     7-19 Division I
   Wagner             495.5 WIN   103-74    -     9-15 Division I
   Rider              480.9 WIN   100-79    -     3-22 Division I
   Coppin State       468.6 WIN   101-58    -     5-21 Division I
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