Wilson Computer Ratings team analysis
New England U. (11-10)

New England U.'s opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Brandeis           514.8 LOSS   60-89         13- 7 Division III
   Bowdoin            488.8 LOSS   59-82         15- 7 Division III
   W. New England     480.6 LOSS   75-101        16- 6 Division III
   Southern Maine     453.5 LOSS   62-97         13- 9 Division III
   Suffolk            436.0 LOSS   69-75         13- 9 Division III
   Nichols            430.3 LOSS   83-112        12-10 Division III
   Roger Williams     408.9 LOSS   81-87         11-10 Division III
   Roger Williams     408.9 LOSS   79-84         11-10 Division III
   Dean Academy       406.0 LOSS   75-80         15- 6 Division III
   Rivier             390.6 LOSS   70-82         10-12 Division III
>> New England U.     393.0 <<                   11-10 Division III
   Nichols            430.3 WIN    93-88    ++   12-10 Division III
   Hartford           421.7 WIN    94-87    ++   12-10 Division III
   Plymouth St.       361.8 WIN    92-84    +     6-15 Division III
   Gordon             338.8 WIN    87-67    +     6-15 Division III
   Gordon             338.8 WIN    93-91    +     6-15 Division III
   Curry              326.7 WIN    68-59    +     5-17 Division III
   Johnson&Wales      322.8 WIN    79-68    +     3-18 Division III
   Maine Maritime     322.1 WIN    77-70    +    11-13 Division III
   New England Coll   317.4 WIN    94-77    +     6-14 Division III
   Wentworth Tech     307.8 WIN   108-103   +     2-18 Division III
   Maine-Augusta      306.6 WIN    91-80    +     1- 4 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