Wilson Computer Ratings team analysis
Transylvania (14-8)

Transylvania's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Gustav Adolphus    553.9 LOSS   57-60         21- 1 Division III
   Mount Union        547.9 LOSS   66-88         20- 2 Division III
   John Carroll       512.6 LOSS   82-84         17- 5 Division III
   Muskingum          478.8 LOSS   81-92         13- 8 Division III
   Anderson (IN)      452.4 LOSS   57-71         13- 9 Division III
   Franklin           446.6 LOSS   66-75         13-10 Division III
   Hanover            430.0 LOSS   71-73         13-10 Division III
   Manchester         358.2 LOSS   77-80    -     3-19 Division III
>> Transylvania       458.5 <<                   14- 8 Division III
   Dubuque            487.1 WIN    61-45    ++   14- 7 Division III
   Anderson (IN)      452.4 WIN    86-61    +    13- 9 Division III
   Rose-Hulman        451.6 WIN    65-63    +    13- 9 Division III
   Rose-Hulman        451.6 WIN    61-48    +    13- 9 Division III
   Mount St. Joseph   450.3 WIN    59-55    +    13- 9 Division III
   Wooster            424.6 WIN    74-62    +     7-15 Division III
   Bluffton           389.4 WIN    67-65    +     8-15 Division III
   Bluffton           389.4 WIN    75-61    +     8-15 Division III
   Berry College      386.6 WIN    70-68    +     8-12 Division III
   Berea              380.0 WIN    73-64    +     8-15 Division III
   Berea              380.0 WIN    91-77    +     8-15 Division III
   Manchester         358.2 WIN   100-88          3-19 Division III
   Earlham            334.6 WIN    86-70    -     2-22 Division III
   Earlham            334.6 WIN    81-42    -     2-22 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).

shopify analytics ecommerce