Wilson Computer Ratings team analysis
Valley Forge (1-20)

Valley Forge's opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   PSU-Scranton       597.4 LOSS   59-70    +    35- 1 Division III
   PSU-Scranton       597.4 LOSS   36-63    +    35- 1 Division III
   St. Mary's, MD     403.4 LOSS   15-100   +    24- 7 Division III
   PSU-Abington       372.6 LOSS   27-107        19- 7 Division III
   Penn College       329.4 LOSS   20-90         20- 7 Division III
   Lycoming           320.3 LOSS   36-83          8-17 Division III
   Notre Dame MD      302.8 LOSS   31-89         12-12 Division III
   Cedar Crest        301.4 LOSS   38-89         18-11 Division III
   Gwynedd-Mercy      287.8 LOSS   18-71          8-18 Division III
   Wilson             283.5 LOSS   46-81         15-11 Division III
   Wilson             283.5 LOSS   39-55         15-11 Division III
   Lancaster Bible    272.7 LOSS   25-63         11-16 Division III
   PSU-Harrisburg     258.5 LOSS   35-81          9-18 Division III
   Gallaudet          222.2 LOSS   21-78          6-17 Division III
   PSU-Hazleton       216.1 LOSS   35-72          2- 2 NAIA/NCCAA/USCAA
   PSU-Brandywine     209.6 LOSS   42-64          6-20 Division III
   PSU-Berks          178.6 LOSS   39-68          4-21 Division III
   Keystone           172.7 LOSS   26-62          4-20 Division III
   Cairn              130.4 LOSS   41-77          3-19 Division III
   Cairn              130.4 LOSS   50-78          3-19 Division III
>> Valley Forge        82.3 <<                    1-20 Division III
   Central PA         -17.7 WIN    59-50          0- 1 NAIA/NCCAA/USCAA
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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