Wilson Computer Ratings team analysis
Mt. St. Vincent (2-19)


Mt. St. Vincent's opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Farmingdale        476.7 LOSS   70-99         18- 4 Division III
   Yeshiva            461.3 LOSS   74-80         13- 8 Division III
   SUNY-Oswego        458.3 LOSS   66-106        18- 3 Division III
   Polytechnic        423.0 LOSS   64-90         17- 5 Division III
   Lehman             383.8 LOSS   58-78         16- 7 Division III
   Sarah Lawr.        380.7 LOSS   46-56         13- 9 Division III
   Sarah Lawr.        380.7 LOSS   57-65         13- 9 Division III
   Washington (MD)    369.5 LOSS   65-67         10-13 Division III
   Delaware Val.      354.2 LOSS   62-87          8-12 Division III
   SUNY Maritime      349.1 LOSS   82-106        11-12 Division III
   Wm. Paterson       348.8 LOSS   78-87          7-15 Division III
   Manhattanville     345.8 LOSS   64-82         10-11 Division III
   St. Joseph's (LI)  335.1 LOSS   70-85         10-12 Division III
   SUNY-Purchase      334.7 LOSS   71-74          9-13 Division III
   SUNY Westbury      318.5 LOSS   70-80          7-15 Division III
   Brooklyn           316.9 LOSS   63-69          9-12 Division III
   St. Josephs-Brkln  306.9 LOSS   73-99          7-15 Division III
   Merchant Marine    295.9 LOSS   72-79          7-15 Division III
   Hunter             254.1 LOSS   60-62          5-17 Division III
>> Mt. St. Vincent    230.9 <<                    2-19 Division III
   Mt. St. Mary NY    247.4 WIN    68-57    ++    2-20 Division III
   Five Towns         139.0 WIN    82-72          0- 2 (null)

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