Wilson Computer Ratings team analysis
Assumption (17-6)


Assumption's opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Bentley            567.3 LOSS   55-59         18- 3 Division II
   Bentley            567.3 LOSS   46-68         18- 3 Division II
   S. Connecticut     538.2 LOSS   44-54         18- 5 Division II
   American Intl.     505.0 LOSS   52-71         15- 8 Division II
   American Intl.     505.0 LOSS   53-68         15- 8 Division II
   Southern NewHamp   490.1 LOSS   51-56         12-10 Division II
>> Assumption         530.7 <<                   17- 6 Division II
   S. Connecticut     538.2 WIN    54-48    ++   18- 5 Division II
   Holy Family        533.2 WIN    58-54    ++   20- 3 Division II
   Mercy              499.6 WIN    68-56    +    18- 8 Division II
   Southern NewHamp   490.1 WIN    80-67    +    12-10 Division II
   St. Anselm         489.7 WIN    61-60    +    12-10 Division II
   St. Michael's      479.4 WIN    59-58    +    12-11 Division II
   St. Michael's      479.4 WIN    66-54    +    12-11 Division II
   Adelphi            476.6 WIN    61-57    +    12-11 Division II
   Adelphi            476.6 WIN    51-48    +    12-11 Division II
   D'Youville         446.4 WIN    63-43    +    10-12 Division II
   Molloy             445.7 WIN    63-45    +    10-15 Division II
   Pace               421.1 WIN    54-40          6-19 Division II
   D.C.               420.9 WIN    55-48          9-16 Division II
   Staten Island      420.7 WIN    60-55          8-17 Division II
   Dominican College  403.0 WIN    86-40    -     5-18 Division II
   St Thomas Aquinas  395.8 WIN    49-44    -     6-18 Division II
   Franklin Pierce    383.9 WIN    72-60    -     2-22 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