Wilson Computer Ratings team analysis
Pitt-Bradford (13-9)

Pitt-Bradford's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Franklin&Marshall  503.0 LOSS   62-75         18- 3 Division III
   Pitt-Greensburg    468.2 LOSS   88-89         18- 5 Division III
   Chatham            465.2 LOSS   86-110        15- 6 Division III
   PSU-Behrend        441.8 LOSS   48-70         15- 6 Division III
   PSU-Harrisburg     420.2 LOSS   64-75         15- 9 Division III
   La Roche           405.2 LOSS   92-95         11-11 Division III
   PSU-Altoona        391.4 LOSS   86-97         11-10 Division III
   Hilbert            382.0 LOSS   84-99         11- 9 Division III
   PSU-Mont Alto      324.1 LOSS   92-100         1- 2 (null)
>> Pitt-Bradford      384.2 <<                   13- 9 Division III
   La Roche           405.2 WIN   102-96    ++   11-11 Division III
   PSU-Altoona        391.4 WIN   104-78    ++   11-10 Division III
   Grove City         375.9 WIN    80-70    +     8-13 Division III
   Geneva             373.7 WIN    96-88    +     8-14 Division III
   Houghton           329.1 WIN   116-106   +     7-17 Division III
   St Elizabeth       309.1 WIN   113-86    +     6-15 Division III
   Alfred State       308.0 WIN    97-88    +     5-17 Division III
   Alfred State       308.0 WIN   118-92    +     5-17 Division III
   Carlow             301.2 WIN    85-83    +     3-19 Division III
   Carlow             301.2 WIN    96-71    +     3-19 Division III
   Alfred U           292.5 WIN    72-66          3-19 Division III
   Mt. Aloysius       289.4 WIN   132-86          3-18 Division III
   Mt. Aloysius       289.4 WIN    91-77          3-18 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