Wilson Computer Ratings team analysis
St. Joseph's (LI) (10-12)


St. Joseph's (LI)'s opponents in order of rating:
     Team            Rating        Score  Effect  W- L
   ---------------   ------       ------- ------ -----
   Stony Brook        587.4 LOSS   43-107        15-10 Division I
   Farmingdale        476.7 LOSS   74-85         18- 4 Division III
   Drew               472.1 LOSS   74-86         16- 5 Division III
   Yeshiva            461.3 LOSS   47-76         13- 8 Division III
   Sarah Lawr.        380.7 LOSS   53-62         13- 9 Division III
   PSU-Brandywine     372.4 LOSS   60-70         14-10 Division III
   Wm. Paterson       348.8 LOSS   75-88          7-15 Division III
   Pratt              348.1 LOSS   60-61         11-10 Division III
   Manhattanville     345.8 LOSS   53-60         10-11 Division III
   SUNY-Purchase      334.7 LOSS   65-90          9-13 Division III
   Hartwick           327.8 LOSS   74-79          8-14 Division III
   SUNY Westbury      318.5 LOSS   76-80          7-15 Division III
>> St. Joseph's (LI)  335.1 <<                   10-12 Division III
   Cairn              405.0 WIN    80-76    ++   18- 6 Division III
   SUNY Maritime      349.1 WIN    76-68    ++   11-12 Division III
   Centenary (NJ)     344.3 WIN    57-56    ++    8-14 Division III
   St. Josephs-Brkln  306.9 WIN    79-71    +     7-15 Division III
   Merchant Marine    295.9 WIN    81-55    +     7-15 Division III
   Merchant Marine    295.9 WIN    77-76    +     7-15 Division III
   York (NY)          291.6 WIN    77-52    +     7-11 Division III
   John Jay           290.0 WIN    70-54    +     7-16 Division III
   Mt. St. Mary NY    247.4 WIN    87-66    +     2-20 Division III
   Mt. St. Vincent    230.9 WIN    85-70          2-19 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