Wilson Computer Ratings team analysis
S. Carolina St. (6-17)


S. Carolina St.'s opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Louisville         728.9 LOSS   45-104        19- 6 Division I
   Tennessee          724.9 LOSS   54-105        18- 7 Division I
   Missouri           685.8 LOSS   66-98         17- 8 Division I
   South Carolina     621.9 LOSS   70-95         11-14 Division I
   Charleston         612.9 LOSS   61-88         17-10 Division I
   Winthrop           609.2 LOSS   79-101        19- 8 Division I
   Bethune-Cookman    581.3 LOSS   59-80         13-12 Division I
   Queens (NC)        580.2 LOSS   78-102        15-12 Division I
   Samford            572.6 LOSS   72-82         15-12 Division I
   South Dakota       564.2 LOSS   81-82         14-13 Division I
   Howard U.          554.2 LOSS   57-85         16-10 Division I
   N. Carolina A&T    542.4 LOSS   62-85         10-14 Division I
   Charleston South.  530.9 LOSS   44-84         12-15 Division I
   SC Upstate         529.8 LOSS   72-78         11-16 Division I
   Tn.-Chattanooga    523.3 LOSS   66-78         10-17 Division I
   Norfolk St.        517.3 LOSS   82-89         12-14 Division I
   Morgan St.         509.4 LOSS   67-72         10-13 Division I
>> S. Carolina St.    487.0 <<                    6-17 Division I
   Howard U.          554.2 WIN    58-57    ++   16-10 Division I
   MD Eastern Shore   489.8 WIN    63-54    ++    8-18 Division I
   Coppin State       468.6 WIN    74-72    +     5-21 Division I
   Delaware St.       464.3 WIN    70-64    +     6-18 Division I
   Brewton-Parker     389.8 WIN    68-54          0- 2 (null)
   Mid-Atlantic Chr.  337.4 WIN    56-50    -     2-11 (null)

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