Wilson Computer Ratings team analysis
Wilkes (13-8)

Wilkes's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Catholic U.        511.8 LOSS   79-91         16- 5 Division III
   Roanoke            510.8 LOSS   54-81         16- 5 Division III
   Drew               472.1 LOSS   87-98         16- 5 Division III
   Moravian           455.4 LOSS   91-93         13- 8 Division III
   Susquehanna        441.6 LOSS   72-75         11-10 Division III
   Susquehanna        441.6 LOSS   86-90         11-10 Division III
   Muhlenberg         418.4 LOSS   59-74         11-10 Division III
   Lycoming           370.3 LOSS   55-72          6-15 Division III
>> Wilkes             455.4 <<                   13- 8 Division III
   Catholic U.        511.8 WIN    68-62    ++   16- 5 Division III
   Gettysburg         480.1 WIN    74-68    ++   13- 8 Division III
   Elizabethtown      469.3 WIN    87-69    ++   15- 6 Division III
   PSU-Scranton       463.3 WIN    75-45    ++   18- 8 Division III
   Moravian           455.4 WIN    86-73    ++   13- 8 Division III
   Arcadia            440.3 WIN    73-71    +    14- 7 Division III
   Rowan              406.9 WIN    86-77    +     9-14 Division III
   Juniata            397.0 WIN    67-43    +     8-13 Division III
   Juniata            397.0 WIN    91-79    +     8-13 Division III
   Lycoming           370.3 WIN    74-67    +     6-15 Division III
   Goucher            354.9 WIN    70-56          4-17 Division III
   King's Coll. (PA)  341.5 WIN    79-68    -     5-16 Division III
   Keystone           292.1 WIN    97-65    -     6-17 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