Wilson Computer Ratings team analysis
SUNY-Plattsburgh (11-10)

SUNY-Plattsburgh's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Vermont            562.7 LOSS   62-113        15-10 Division I
   Union (New York)   476.3 LOSS   73-80         17- 4 Division III
   Cortland St.       468.3 LOSS   56-61         17- 4 Division III
   Cortland St.       468.3 LOSS   62-81         17- 4 Division III
   SUNY-Oswego        458.3 LOSS   66-74         18- 3 Division III
   SUNY-Oswego        458.3 LOSS   60-84         18- 3 Division III
   Middlebury         419.0 LOSS   89-92          8-14 Division III
   St. Lawrence       407.1 LOSS   79-87         11-10 Division III
   SUNY-Oneonta       405.7 LOSS   75-89         14-10 Division III
   SUNY-New Paltz     365.7 LOSS   62-88         11-11 Division III
>> SUNY-Plattsburgh   379.8 <<                   11-10 Division III
   Skidmore           400.9 WIN    80-73    ++   10-11 Division III
   Clarkson           373.1 WIN    76-72    +    11-10 Division III
   Norwich            342.5 WIN    67-60    +     8-13 Division III
   Morrisville St.    323.6 WIN    81-74    +     8-13 Division III
   Morrisville St.    323.6 WIN   100-98    +     8-13 Division III
   Buffalo St.        322.5 WIN    83-58    +     7-13 Division III
   SUNY-Canton        278.8 WIN    76-63          4-18 Division III
   SUNY-Canton        278.8 WIN    84-76          4-18 Division III
   Fredonia           252.6 WIN    94-78    -     2-18 Division III
   SUNY-Potsdam       232.5 WIN   101-78    -     1-20 Division III
   SUNY-Potsdam       232.5 WIN    69-66    -     1-20 Division III
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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