Wilson Computer Ratings team analysis
Lane College (8-14)


Lane College's opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Trevecca Naz.      528.9 LOSS   72-89         16- 9 Division II
   North Alabama      516.3 LOSS   84-90          8-17 Division I
   Clark Atlanta      503.8 LOSS   66-78         18- 7 Division II
   Tuskegee           497.4 LOSS   70-73         18- 7 Division II
   Miles              496.3 LOSS   71-82         18- 6 Division II
   Fort Valley St.    461.1 LOSS   81-83         12-11 Division II
   Edward Waters      460.1 LOSS   88-91         13-12 Division II
   Edward Waters      460.1 LOSS   70-76         13-12 Division II
   Benedict           443.4 LOSS   69-75         10-11 (null)
   Benedict           443.4 LOSS   64-66         10-11 (null)
   LeMoyne-Owen       437.0 LOSS   64-69         11-13 Division II
   LeMoyne-Owen       437.0 LOSS   61-77         11-13 Division II
   Clayton State      427.9 LOSS   81-90          3-22 Division II
   Kentucky St.       405.4 LOSS   77-80          6-19 Division II
>> Lane College       428.7 <<                    8-14 Division II
   Morehouse          488.3 WIN    69-62    ++   16-10 Division II
   Morehouse          488.3 WIN    94-87    ++   16-10 Division II
   Savannah St.       458.6 WIN    94-75    ++   12-10 Division II
   Albany State (GA)  439.6 WIN    92-72    ++   10-16 Division II
   Central St. OH     437.9 WIN    83-80    ++   11-16 Division II
   Kentucky St.       405.4 WIN    81-74    +     6-19 Division II
   Allen              400.2 WIN    84-83    +     5-16 NAIA/NCCAA/USCAA
   Spring Hill        395.2 WIN   105-90    +     4-21 Division II

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