Wilson Computer Ratings team analysis
N.C. Central (9-14)

N.C. Central's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Virginia           738.0 LOSS   62-81         22- 3 Division I
   North Carolina     731.4 LOSS   53-97         20- 5 Division I
   Kentucky           719.2 LOSS   67-103        17- 8 Division I
   N. Carolina St.    702.0 LOSS   66-114        18- 8 Division I
   Dayton             646.1 LOSS   55-74         16- 9 Division I
   Penn State         625.1 LOSS   67-90         11-15 Division I
   Appalachian St.    594.7 LOSS   54-76         18-10 Division I
   James Madison      580.5 LOSS   62-67         14-13 Division I
   Howard U.          554.2 LOSS   69-83         16-10 Division I
   N. Carolina A&T    542.4 LOSS   54-69         10-14 Division I
   Longwood           534.3 LOSS   72-74         14-14 Division I
   SC Upstate         529.8 LOSS   67-82         11-16 Division I
   Norfolk St.        517.3 LOSS   68-75         12-14 Division I
   Coppin State       468.6 LOSS   56-58          5-21 Division I
>> N.C. Central       504.3 <<                    9-14 Division I
   Norfolk St.        517.3 WIN    69-67    ++   12-14 Division I
   Morgan St.         509.4 WIN    89-78    ++   10-13 Division I
   MD Eastern Shore   489.8 WIN    65-63    +     8-18 Division I
   Bluefield St.      471.8 WIN    77-61    +    12-14 Division II
   Coppin State       468.6 WIN    88-77    +     5-21 Division I
   Delaware St.       464.3 WIN    72-63    +     6-18 Division I
   Carolina Chr.      374.0 WIN   109-61    -     0- 5 (null)
   Mid-Atlantic Chr.  337.4 WIN    96-62    -     2-11 (null)
   Toccoa Falls       315.9 WIN   123-67    -     2- 9 NAIA/NCCAA/USCAA
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