Wilson Computer Ratings team analysis
Southern NewHamp (12-10)

Southern NewHamp's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Bentley            567.3 LOSS   51-79         18- 3 Division II
   S. Connecticut     538.2 LOSS   50-72         18- 5 Division II
   S. Connecticut     538.2 LOSS   47-55         18- 5 Division II
   Assumption         530.7 LOSS   67-80         17- 6 Division II
   American Intl.     505.0 LOSS   85-92         15- 8 Division II
   Felician College   502.9 LOSS   66-78         19- 6 Division II
   St. Anselm         489.7 LOSS   55-77         12-10 Division II
   St. Michael's      479.4 LOSS   65-78         12-11 Division II
   St. Michael's      479.4 LOSS   57-66         12-11 Division II
   Queens (NY)        409.8 LOSS   57-70          7-17 Division II
>> Southern NewHamp   490.1 <<                   12-10 Division II
   Assumption         530.7 WIN    56-51    ++   17- 6 Division II
   American Intl.     505.0 WIN    72-66    ++   15- 8 Division II
   Mercy              499.6 WIN    70-39    ++   18- 8 Division II
   St. Anselm         489.7 WIN    75-56    +    12-10 Division II
   Adelphi            476.6 WIN    67-54    +    12-11 Division II
   Adelphi            476.6 WIN    66-44    +    12-11 Division II
   Florida Tech       451.5 WIN    80-62    +     8-17 Division II
   Molloy             445.7 WIN    73-47    +    10-15 Division II
   Post               439.3 WIN    68-55    +     9-12 Division II
   Pace               421.1 WIN    65-60    +     6-19 Division II
   Bridgeport         416.3 WIN    71-38    +     8-11 Division II
   Franklin Pierce    383.9 WIN    70-57          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).

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