Wilson Computer Ratings team analysis
King's Coll. (PA) (5-16)

King's Coll. (PA)'s opponents in order of rating: 
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   PSU-Scranton       463.3 LOSS   68-88         18- 8 Division III
   Moravian           455.4 LOSS   67-94         13- 8 Division III
   Wilkes             455.4 LOSS   68-79         13- 8 Division III
   Stevens Tech       442.9 LOSS   67-87         14- 7 Division III
   Stevens Tech       442.9 LOSS   89-93         14- 7 Division III
   Susquehanna        441.6 LOSS   60-96         11-10 Division III
   Arcadia            440.3 LOSS   53-76         14- 7 Division III
   Misericordia       423.5 LOSS   64-84         14- 9 Division III
   Notre Dame MD      423.4 LOSS   78-97         16- 9 Division III
   Muhlenberg         418.4 LOSS   61-65         11-10 Division III
   DeSales            412.8 LOSS   66-75         13- 9 Division III
   Lycoming           370.3 LOSS   78-98          6-15 Division III
   Marywood           361.4 LOSS   98-101        11-11 Division III
   Delaware Val.      354.2 LOSS   81-108         8-12 Division III
   Lebanon Val.       341.5 LOSS   87-88          6-15 Division III
   Lebanon Val.       341.5 LOSS   77-79          6-15 Division III
>> King's Coll. (PA)  341.5 <<                    5-16 Division III
   SUNY-Oneonta       405.7 WIN   100-88    ++   14-10 Division III
   Centenary (NJ)     344.3 WIN   106-99    ++    8-14 Division III
   FDU-Florham        331.2 WIN    84-80    +     7-14 Division III
   FDU-Florham        331.2 WIN    74-73    +     7-14 Division III
   Penn College       289.0 WIN    95-65    +     4-18 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).

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