Wilson Computer Ratings team analysis
Columbia (17-6)


Columbia's opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   North Carolina     757.2 LOSS   63-80         21- 6 Division I
   Richmond           734.1 LOSS   67-77         22- 4 Division I
   Kansas St.         703.7 LOSS   92-95         14-13 Division I
   St. Joseph's (PA)  677.3 LOSS   48-66         17- 8 Division I
   Pennsylvania       643.4 LOSS   55-64         14- 9 Division I
   Cornell            564.3 LOSS   60-67    -     8-15 Division I
>> Columbia           705.9 <<                   17- 6 Division I
   Princeton          755.2 WIN    73-67    ++   20- 3 Division I
   Princeton          755.2 WIN    70-56    ++   20- 3 Division I
   S. Dakota St.      716.3 WIN    80-67    ++   20- 6 Division I
   Seton Hall         707.7 WIN    54-53    ++   17- 8 Division I
   Harvard            661.8 WIN    58-55    +    14- 9 Division I
   UT San Antonio     644.6 WIN    70-65    +    12-12 Division I
   Pennsylvania       643.4 WIN    69-56    +    14- 9 Division I
   Brown              639.0 WIN    68-52    +    15- 7 Division I
   Binghamton         639.0 WIN    73-60    +    17- 8 Division I
   Ohio University    636.9 WIN    92-74    +    15- 9 Division I
   Butler             626.4 WIN    74-69    +     9-17 Division I
   FL Gulf Coast      615.6 WIN    63-44         13-13 Division I
   Cornell            564.3 WIN    80-55    -     8-15 Division I
   Dartmouth          562.6 WIN    89-32    -    10-13 Division I
   Yale               555.1 WIN    85-58    -     6-17 Division I
   Wagner             521.6 WIN    82-42    -    11-13 Division I
   Manhattan          517.1 WIN    84-38    -     7-18 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