Wilson Computer Ratings team analysis
Utica (17-5)

Utica's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Rochester (NY)     451.5 LOSS   80-103         9-10 Division III
   Russell Sage       435.6 LOSS   89-91         18- 4 Division III
   Nazareth           435.5 LOSS   66-69         16- 6 Division III
   Hobart             407.4 LOSS   53-66         11-10 Division III
   SUNY-Geneseo       403.8 LOSS   74-77         13- 9 Division III
>> Utica              427.8 <<                   17- 5 Division III
   Rensselaer         453.9 WIN    82-77    ++   16- 5 Division III
   Polytechnic        423.0 WIN    84-79    +    17- 5 Division III
   Springfield        422.8 WIN    76-69    +     8-14 Division III
   Brockport St.      398.9 WIN    81-77    +    11-11 Division III
   St. John Fisher    374.8 WIN    80-73    +    10-13 Division III
   Hamilton           369.7 WIN    69-64    +     5-17 Division III
   Keuka              349.9 WIN    77-70    +    10-12 Division III
   Elmira             344.3 WIN    94-77    +     8-15 Division III
   Houghton           329.1 WIN    65-59          7-17 Division III
   Houghton           329.1 WIN    86-76          7-17 Division III
   Hartwick           327.8 WIN    70-61          8-14 Division III
   Morrisville St.    323.6 WIN    83-71          8-13 Division III
   SUNY Delhi         295.9 WIN    80-60    -     7-17 Division III
   Alfred U           292.5 WIN    67-62    -     3-19 Division III
   Alfred U           292.5 WIN    84-76    -     3-19 Division III
   Keystone           292.1 WIN    86-69    -     6-17 Division III
   SUNY-Potsdam       232.5 WIN    85-63    -     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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